Senior Data Scientist

🏢 Summary: Data Science & Analytics role embedded within core business units (growth, product, AI & automation, strategic partnerships), responsible for defining business problems, building analyses and experiments, and driving data-informed decisions to scale the company from 5M to 50M customers. The position combines strategic thinking with hands-on execution, owning metrics, insights, and end-to-end analytical impact. Candidates will influence leadership decisions through rigorous analysis and clear communication. 🗂️ Requirements: 2+ years experience in consulting, investment banking, or high-growth technology company, Strong analytical skills with ability to independently pull, structure, and interpret data, Proficiency in SQL or Python, Experience owning ambiguous problems and delivering measurable impact, Ability to influence leadership through clear, persuasive communication 📃 Skills: SQL, Python, Clickhouse, Metabase, Jupyter, GitHub 🏢 Description: Why We Exist Your car and your home are your most important assets, yet the experience of owning them is stuck in the 90s. Every part of the journey — buy/sell, insurance, maintenance, repairs — is fragmented, complicated, and expensive. Jerry.ai is building the first app to manage it all. We started with car insurance in 2019, became one of the top 3 brokers in the U.S., then added driving insights, diagnostics, and a repair marketplace. We've reached 5M+ customers, raised $240M+, scaled revenue 70X, and became profitable in early 2024. We're now expanding into adjacent verticals (e.g. home, motorcycle, RV, etc) to become the one-stop-shop for all your physical assets. Why We’re Hiring Our Data Science & Analytics team has been a force multiplier and accelerant to our business that has helped us reach these pivotal milestones in spite of headwinds and within a highly competitive market. They are a team who drive data & insights, and inform decision-making across every corner of our business. They are analytical powerhouses and first principles problem solvers who push forward our most important initiatives across product, growth, tech, and operations. Every business unit has a Data Science team member embedded within it — someone who doesn't just run analyses and build dashboards, but shapes what questions we should ask, what data to pull, what conclusions to draw, what decisions to make, and then drives our teams towards our next goal: go from 5M to 50M customers and become a $10B business in the next 4 years. As our business continues to expand, there is growing demand for more Data Science team members. We are hiring 4-6 people to drive impact in these areas: - Growth Marketing - Product Development - AI & Automation - Strategic Partnerships On leveling: You may see job ads for this role at different job levels. Our priority is finding the right people, we can be flexible with job title/leveling. Why You Will (Or Won't) Like Working Here No slides: The only work that gets done is work that will materially change the trajectory of our business — an important product, a new growth channel, a key metric, or a critical partner relationship. No corporate fluff: The Data Science & Analytics team cares deeply about solving difficult problems and making a tangible impact. Every person owns a critical domain. There is no bloat, unnecessary meetings, or waiting for approvals. Hands-on: This is not a pure strategy role, you will also own execution. Your day-to-day will be surfacing analytical insights, driving decisions, and seeing them through end-to-end. What You'll Own You'll sit on our central Data Science & Analytics team but be embedded in one of Jerry's core business areas — growth, product, AI and automation, or strategic partnerships — and own the analytical function for that business unit end-to-end. Define the right problems: Before any analysis, understand what business question it's answering and what decision it will inform. Data and insights: Define metrics, build reports, run analyses, design experiments, and surface data insights that move your team's key metrics. Drive outcomes: Bring recommendations to counterparts in product, growth, finance, or operations, explain what's happening and why, and define next steps. Who You Are First principles thinker: You break ambiguous problems into clear hypotheses before touching data. You're analytically strong and comfortable with SQL or Python. Direct communicator: You can walk a skeptical stakeholder through a complex finding and get buy-in quickly. You write clearly and speak precisely. Owner: You take responsibility for fixing problems, even outside your immediate scope. What You'll Bring 2+ years of experience at a consulting firm, investment bank, or high-growth technology company. Strong analytical skills; ability to pull, structure, and interpret data independently. Track record of owning ambiguous problems and delivering impact. Clear, persuasive communicator who can influence decisions at the leadership level. Our Tools SQL (Clickhouse), Metabase, Python, Jupyter Hub, GitHub. Compensation Range: $130K - $150K

🏢 Summary: Mid/Senior Data Scientist role focused on developing and deploying machine learning models and geospatial analytics solutions within SaaS products and R&D projects. The position involves working with large-scale spatial data, building predictive models, and enhancing a Location Intelligence platform. The role combines advanced analytics, Big Data processing, and practical use of LLMs to deliver business insights. 🗂️ Requirements: Minimum 3 years of experience in Data Science, Experience in building predictive machine learning models, Practical experience with SQL databases, Proficiency in Python programming, Experience with geospatial functions in SQL or PySpark, Experience with geospatial libraries, Knowledge of statistics and econometrics, Experience processing large datasets, Experience with Big Data tools, Ability to use LLMs in analytical workflows, English proficiency 📃 Skills: Python, SQL, PySpark, Databricks, AWS, S3, GeoPandas, Shapely, Snowflake, LLM, Claude, Cortex, MachineLearning, Statistics, Econometrics, BigData 🏢 Description: Kilka słów o nas: Jesteśmy firmą technologiczną działającą w obszarze geoanalityki i machine learning . Nasze analizy i technologia pomagają podejmować strategiczne decyzje biznesowe największym firmom z branży retail, mediowej oraz FMCG. Wykorzystując dane przestrzenne pomagamy naszym klientom optymalizować sieć sprzedaży oraz określać najlepsze lokalizacje do jej rozwoju. Jak to robimy? Codziennie miliony użytkowników urządzeń mobilnych raportuje nam o swojej lokalizacji, a dzięki dodaniu kontekstu geoprzestrzennego i socjodemograficznego z zewnętrznych baz danych, oraz zaawansowanym modelom predykcyjnym, które rozwijamy, jesteśmy w stanie w kompleksowy sposób poznać preferencje i ruch klientów w świecie offline. Z naszego rozwiązania już dziś korzystają najwięksi gracze na rynku, nie osiadamy jednak na laurach i wciąż rozwijamy dataplace.ai oraz naszą technologię. Kogo szukamy? Aktualnie szukamy nowego talentu, który dołączy do naszego zespołu Data Science . Poszukujemy osoby, która potrafi pracować na dużych zbiorach danych, rozumie działanie modeli uczenia maszynowego i nie boi się danych przestrzennych. Co będzie należało do Twoich zadań w dataplace.ai? Pracując na stanowisku mid/senior data scientist będziesz zajmował/a się pracą na danych w ramach rozwijanych przez nas produktów SAAS (np. aplikacja location intelligence - placeme), przy projektach klienckich oraz w ramach dużego projektu B+R, który realizujemy. W szczególności do Twoich obowiązków będzie należało: Praca z modelami nauczania maszynowego – tworzenie, wdrażanie i utrzymywanie modeli nauczania maszynowego przy użyciu algorytmów regresji liniowej i logistycznej, klasyfikacji, drzew decyzyjnych itp.; Analityka geoprzestrzenna – praca na danych opartych na lokalizacji w celu określenia zależności i identyfikacji insight’ów, które wzbogacą procesy decyzyjne klientów; Programowanie obiektowe w Python – rozwijanie i utrzymywanie naszej platformy Location Intelligence; Praca z Big Data – przetwarzanie dużych ilości danych, wykorzystując technologię i narzędzia, takie jak PySpark, SQL, Databricks, AWS S3; Wykorzystywanie LLM (Claude, Snowflake Cortex) do automatyzacji analiz i generowania insightów; Udział w pracach B+R – uczestnictwo w pracach badawczych nad rozwojem naszej technologii przetwarzania danych przestrzennych; Opracowywanie i utrzymywanie dokumentacji projektowej; Wsparcie techniczne dla młodszych stażem członków zespołu Data Science. Poza pracą na danych, do Twoich zadań należało będzie też: Ścisła współpraca z zespołem Sales - proponowanie rozwiązań analitycznych, przedstawianie rekomendacji, szacowanie zasobochłonności prac; Przygotowywanie i prezentowanie wyników przeprowadzonych analiz, również poprzez ich wizualizację; Sporadyczne prowadzenie warsztatów dla nowych i obecnych klientów Czego oczekujemy na tym stanowisku? Doświadczenia (przynajmniej 3 lata) w data science, obejmującego rozwiązywanie problemów biznesowych w oparciu o eksplorację danych i machine learning; Znajomości metod tworzenia modeli predykcyjnych; Praktycznej wiedzy i umiejętności pracy na bazach danych z wykorzystaniem SQL; Wiedzy i doświadczenia w programowaniu w Python; Doświadczenia z funkcjami geoprzestrzennymi (SQL, PySpark) oraz bibliotekami do pracy z danymi przestrzennymi (GeoPandas, Shapely); Wiedzy z zakresu ekonometrii i statystyki Umiejętności współpracy z klientami, aby zrozumieć ich potrzeby i korelacje biznesowe analizowanych danych; Umiejętności dobierania metod i narzędzi do analizy, wizualizacji i prezentacji danych; Umiejętności biegłego wyciągania wniosków na podstawie liczb i komunikacji ich do biznesu; Samodzielności, zaangażowania i poczucia odpowiedzialności za tworzone analizy; Znajomości języka angielskiego pozwalającej na swobodną komunikację (w mowie i piśmie). Twoim dodatkowym atutem będzie: Praktyczne wykorzystywanie LLM w codziennej pracy; Doświadczenie pracy z AWS; Umiejętność pracy na Snowflake; Znajomości języka PySpark w kontekście pracy na dużych zbiorach danych (na platformie Databricks); Co oferujemy w zamian? Wynagrodzenie adekwatne do posiadanego doświadczenia – aplikując, podziel się z nami swoimi oczekiwaniami . Preferujemy umowę UoP lub UZ Pracę z ludźmi, którzy lubią to, co robią i siebie nawzajem :) Możliwość pracy w pełni zdalnej – pracujemy z Portugalii, Wiednia czy Giżycka, ale jeśli wolisz przychodzić do biura, zapraszamy do naszej warszawskiej lokalizacji; Elastyczne godziny pracy – łapiemy się na statusy, określamy cele i terminy, ale to Ty decydujesz, kiedy zaczynasz i kończysz pracę (wspólnie ustalamy zasady); Urlop no limit – bierzesz tyle urlopu, ile chcesz, ważne żebyśmy wspólnie dowozili zadania, na które się umówimy; Pracę przy projektach z zakresu ML i Data Science dla największych firm w Polsce; Pracę nad innowacyjnym produktem location intelligence, w którego rozwoju będziesz miał/a swój realny udział; Indywidualnie dopasowany pakiet benefitów; powiedz nam czego oczekujesz, a my powiemy Ci co możemy Ci zaoferować; Możliwość stałego podnoszenia kwalifikacji - Ty wybierasz, jakie szkolenie jest Ci najbardziej potrzebne. Jeśli fascynują Cię dane przestrzenne i chcesz pracować z nowoczesnymi technologiami, dołącz do naszego zespołu i pomóż nam rozwijać innowacyjne rozwiązania w zakresie danych geoprzestrzennych!

🏢 Summary: The offer is for a Data Scientist responsible for designing, building, and deploying machine learning and AI solutions that drive marketplace performance at scale. The role covers end-to-end model development, from problem formulation to production, using advanced statistical methods, deep learning, and Generative AI on large-scale data in cloud environments. You will work closely with data engineers and business stakeholders to deliver impactful, production-grade ML systems. 🗂️ Requirements: Experience in data analysis using SQL, Experience building and deploying ML models in production environments, End-to-end experience designing machine learning models, Ability to translate business problems into ML solutions, Strong communication skills with business stakeholders, Experience with ML and AI, especially LLMs, Proficiency in Python, Understanding of statistical and machine learning methods, Practical and theoretical knowledge of Generative AI and Agentic AI, English and Polish proficiency at B2+ level, Degree in Mathematics, Physics, Economics, Computer Science or related field, or equivalent ML/Data Science experience 📃 Skills: Python, SQL, GCP, BigQuery, VertexAI, CloudComposer, Dataflow, Airflow, PySpark, LLM, GenAI, AgenticAI, DeepLearning, Bayesian, Boosting, CausalInference, Optimization, Kubernetes, Docker, Consul, GitHub, GitHubActions, Gemini, GPT 🏢 Description: Data Scientist Location: Warszawa, PL, 00-841 Company: Allegro sp. z o.o. Team: Technology Contract Type: Employee We are looking for a Data Scientist with a strong analytical mindset - someone who enjoys decoding market mechanisms and applying statistical models to solve complex platform puzzles. Our team drives the logic that powers a trustworthy and competitive marketplace. As part of the Tech organization dedicated to delivering the best experiences for our sellers, we specialize in data solutions focused on driving their growth - particularly through optimizing price competitiveness, expanding product selection, and supporting strategic campaigns. Composed of Data Scientists, Data Engineers, and Analysts, we develop statistical models and rules to measure and improve our products and services. We work in close collaboration with developers and product teams across the entire project lifecycle, from ideation to implementation. Our ultimate goal is to create a seamless experience where partners can rely on fair visibility rules, and Customers can trust every product detail they see on the platform. The brain of the entire Allegro. Here, we implement projects based on a practical application of artificial intelligence and Data Science on a scale unprecedented in Poland. In order to effectively implement ML solutions and automate existing processes, we need the support of inquisitive, experienced, and data-driven individuals. The ones willing to be up to date on newest algorithms and advancements in AI, from new deep learning architectures, explainable AI and GenAI but still grounded and aware of statistics and predictive modelling. In Allegro you will work with solutions from prototypes to create stable, high-performance solutions and combine these services with batch and stream processing analyzing real BigData (also in the public cloud). What will your job involve? Co-creating projects on each stage - from concept to productization - to deliver insights and models solving business problems from different areas Using a wide range of model types, including boosting models, Bayesian methods, causal inference, optimization methods, deep learning and Generative AI solutions including LLMs and Agentic AI Working hand-in-hand with our Data Engineers who support the heavy-lifting of data processing on GCP Working not only with tabular data, but also with spatial data, natural language texts, images and time series Taking part in implementations of off-line and on-line models Brainstorm, provide mentorship, share knowledge Cooperation with other teams: business stake-holders, analytics, data engineers Why should you work with us? Data Science plays a key role in the operation of Allegro - we are a data-driven technology company, and through the models and analyses provided you will have a significant impact on one of the largest eCommerce platforms in the world You will have a possibility of developing AI tools from prototypes to large production solutions that will have real impact on our users, merchants and employees. Thanks to the wide range of projects we carry out, you will never run out of interesting challenges Support of experienced Data Scientists - there is always someone to exchange ideas with, because we have the best specialists and experts in their field on board You will have access to huge data sets and the latest data processing technologies You will have the opportunity to learn the tools and technologies in practice: Python (including various ML libraries), GCP environment (BigQuery, VertexAI, Cloud Composer, Dataflow), Airflow, PySpark, Gemini/GPT models You will learn good programming, engineering and code management practices We share our knowledge at industry conferences and trainings, we are an active participant and co-creator of the Data Science / Machine Learning community in Poland and in the world Our offer is addressed to people who: Have experience in data analysis using SQL and building machine learning solutions in production environments, especially with end-to-end experience in designing ML models Want to translate business challenges into ML problems Can clearly communicate with business units - from formulating an analytical problem to a clear and intuitive presentation of results Have experience with ML and AI (especially LLMs) Are highly independent, showing strong work organization and taking full responsibility for their given projects Program in Python and efficiently use basic development tools Understand statistical and machine learning methods Embrace modern tooling, specifically possessing practical and theoretical knowledge of Generative AI and Agentic AI principles (coding tools, prompting, validation). The ideal candidate enthusiastically leverages GenAI coding tools (like Copilot) to boost and automate workflows,  remaining up-to-date and critically engaged with the newest GenAI tooling. Speak English and Polish at a B2+ level or higher Graduated with a degree strongly related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, Computer Science (or similar major) or have job experience in data science / ML positions What's in it for you: Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. Annual bonus based on your annual performance and company results. Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). English classes that we pay for related to the specific nature of your job. A training budget, inter-team tourism ( see more here ), hackathons, and an internal learning platform where you will find multiple trainings. An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!

🏢 Summary: Leadership role responsible for driving data analytics strategy and integrating AI to enhance predictive capabilities, operational efficiency, and strategic decision-making in a highly regulated pharmaceutical environment. The position leads cross-functional analytics initiatives, ensures regulatory compliance, and manages a high-performing data team aligned with business goals. Focused on innovation and governance, the role leverages advanced analytics and AI to support organizational growth and performance. 🗂️ Requirements: Bachelor's degree in Data Science, Business Analytics, or related field, Minimum 5 years of experience in data analytics or related roles, At least 2 years of leadership experience, Proven experience leveraging AI in data analytics, Experience in a highly regulated industry, Strong knowledge of data governance and regulatory compliance, Proficiency in data analytics tools and AI-driven platforms 📃 Skills: AI, Analytics, DataScience, PredictiveAnalytics, DataGovernance, Compliance, ProjectManagement, Reporting, DataManagement 🏢 Description: Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation's most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we're redefining what's possible in personalized medicine and pharmaceutical manufacturing. We're proud to be recognized as one of Houston's fastest-growing private companies and ranked #116 in Healthcare & Medical on the Inc. 5000 List for 2025. Our strength is built on four core values: People, Quality, Service, and Innovation. Guided by these principles, we've created a uniquely integrated healthcare platform powered by advanced technology, operational excellence, and a relentless commitment to patient care. From manufacturing and quality control to distribution and customer experience, our teams work together to raise industry standards, expand access to critical medications, and improve outcomes for patients and providers across the country. At Empower, joining our team means more than starting a new role. It means becoming part of a mission-driven organization that's transforming healthcare at scale. We invest deeply in our people, encourage bold thinking, and create opportunities for growth, leadership, and innovation at every level. Your ideas matter here, your development is supported, and the work you do has a direct impact on the lives of millions. If you thrive in a fast-moving, purpose-driven environment where innovation, collaboration, and ambition come together, Empower Pharmacy is the place for you. Let's transform healthcare together.POSITION SUMMARY The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated data analysis and strategic insights. This position encompasses ownership of extensive data projects, leveraging AI to enhance speed, scale, quality, and decision-making. Aligned with Empower's growth in a 503A/503B environment, the role demands excellence in strategic thinking, execution rigor, and learning agility. This role is pivotal in aligning data analytics strategies with business goals, ensuring compliance, and fostering innovation in a highly regulated landscape. Candidates must demonstrate strong leadership capabilities and the ability to optimize AI as a transformative force multiplier, advancing Empower's competitive edge and operational efficiency. RESPONSIBILITIES Data Strategy AI Integration: Develop and implement data analytics strategies that integrate AI to enhance predictive analytics capabilities, improve data quality, and support strategic decision-making across the organization. Collaborate with cross-functional teams to ensure alignment with business objectives and regulatory requirements. Innovation Leadership: Lead the exploration and adoption of cutting-edge AI technologies to drive innovation in data analytics processes. Foster a culture of continuous improvement and learning within the analytics team to maintain competitive advantage in the industry. Strategic Alignment: Ensure data analytics initiatives align with Empower's business goals and regulatory standards. Utilize data-driven insights to inform strategic planning and operational decisions, contributing to the company's growth and compliance in a highly regulated sector. Team Leadership Mentorship and Development: Provide leadership and mentorship to the data analytics team, fostering a collaborative and high-performance environment. Encourage professional growth and development, ensuring the team possesses the skills necessary to meet evolving business needs. Performance Management: Oversee team performance, setting clear objectives and key results (OKRs) aligned with organizational goals. Implement performance metrics and feedback mechanisms to drive accountability and excellence in execution. Talent Acquisition: Participate in the recruitment and retention of top-tier analytics talent. Ensure the team's competencies align with the strategic demands of the business, cultivating a diverse and inclusive workplace culture. Operational Excellence Process Optimization: Optimize data analytics processes to improve efficiency and effectiveness, leveraging AI to streamline operations. Implement best practices and continuous improvement initiatives to enhance data analysis capabilities and outcomes. Resource Management: Manage analytics resources, ensuring efficient allocation of tools and technologies. Monitor budgetary constraints and leverage AI-driven solutions to maximize resource utilization and operational efficiency. Regulatory Compliance: Ensure data analytics practices comply with industry regulations and standards. Implement governance frameworks to maintain data integrity, security, and privacy, supporting Empower's commitment to compliance and ethical practices. Cross-Functional Collaboration Partnership Building: Establish and maintain strong relationships with key stakeholders across the organization. Collaborate with departments such as IT, finance, and operations to align data analytics projects with business priorities and strategic initiatives. Communication and Reporting: Effectively communicate data insights and analytics findings to non-technical audiences. Prepare and deliver executive-level reports and presentations that articulate the value and impact of analytics initiatives on business performance. Project Management: Lead cross-functional data analytics projects, ensuring timely delivery and alignment with business objectives. Utilize AI-driven project management tools to enhance collaboration, track progress, and optimize project outcomes. KNOWLEDGE AND SKILLS Proficient in data analytics tools and AI-driven platforms, with strong analytical and problem-solving skills. Exceptional leadership and team management abilities, fostering a culture of innovation and continuous improvement. Strong understanding of regulatory compliance within data management and analytics environments. Excellent communication and stakeholder management skills, with the ability to convey complex data insights effectively. EXPERIENCE AND QUALIFICATIONS Bachelor's degree in Data Science, Business Analytics, or related field; Master's preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.

🏢 Summary: Senior BI and Analytics Engineer responsible for building and optimizing scalable data tools and pipelines within a modern data stack to deliver trusted, high-quality insights across the organization. The role focuses on SQL-driven analytics, data modeling, DataOps practices, and cross-functional collaboration to enable data-driven decision-making. You will develop robust data transformations, maintain data quality, and create impactful dashboards and reverse ETL workflows. 🗂️ Requirements: BSc/MA in Computer Science, Statistics, Math, Engineering or related quantitative field, Minimum 4 years experience in analytics engineering, data engineering, data analytics or related field, Advanced SQL expertise, Experience with in-warehouse transformation tools (dbt preferred), Experience designing and querying OLAP data warehouses (Snowflake or BigQuery), Minimum 1 year experience with BI tools (Looker preferred), Experience with dimensional data modeling (Kimball or Data Vault), Experience building and maintaining data pipelines, Command line proficiency, Git version control experience 📃 Skills: SQL, dbt, Snowflake, BigQuery, Looker, Airflow, FiveTran, OLAP, Kimball, DataVault, Git, Bash, Python, Docker, Kubernetes, ECS, Snowplow 🏢 Description: Who are we and why should you join us? BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world's largest online therapy service, providing affordable and convenient therapy in across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we're not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution. As a Senior BI and Analytics Engineer at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team's well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you'll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way. What are we looking for? We are looking for a Senior Business Intelligence and Analytics Engineer to help us in developing best in class data tools to deliver high quality tools and services and maintain our accelerated growth. These tools must be developed and maintained using best practices to ensure scalability and stakeholder trust as we grow in both size and scope. You will work cross functionally closely with both technical and business stakeholders across the company, as well as optimize our data stack for delivering trustworthy, discoverable, impactful data to fit their needs. What will you do? Act as a subject matter expert (SME) and deliver training to the cross functional teams to enable business users to make data-driven decisions. Deliver direct analytical insights like dashboards and ad-hoc analyses to business stakeholders Collaborate with the teams across the company to understand their use cases and deliver high value data tools Live and breathe SQL Ensure data quality and freshness at every step of the pipeline for data trust and consistency Create reverse ETL flows to make modeled data directly to stakeholders in the tools they use to foster fast and informed decision making Define and build robust DataOps pipelines and data expectations to ensure the effective delivery of data to all internal data services Explore, propose, and integrate new data sources and software solutions into the reporting environment Contribute to data-driven culture at BetterHelp by directly training stakeholders as well as creating resources such as documentation for empowering others to perform their own analyses Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives. Partner with data and machine learning engineers and work with a modern data stack: Airflow, FiveTran, Snowflake, dbt, and Looker What will you NOT do? You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success. You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do. You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here! You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really. Can I work remotely? Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel. Requirements BSc/MA in a quantitative discipline such as Computer Science, Statistics, Math, or Engineering At least 4 years of experience in an analytics engineering, data engineering, data analytics, or a related field Advanced experience working with data pipeline tools, particularly in-warehouse transformation tools (preferably dbt) Advanced experience with SQL Experience querying and designing performant tables within OLAP data warehouses (e.g. Snowflake, BigQuery) At least 1 year experience working & developing with BI Tools (preferably Looker) Familiarity with frameworks and tradeoffs in building complex data models, preferably working work dimensional modeling frameworks (e.g. Kimball, Data Vault) Excellent communication (oral and written), attention to detail, time management and organizational skills Experience and comfort using the command line Experience using git for version control Bonus (Great to have, but not required) Familiarity with patterns for handling large-scale data transformations (e.g. dbt incremental models, horizontal/vertical scaling big data patterns) Experience working with Python-based workflow orchestration tools (e.g. Airflow) Experience working with Docker and container orchestration (e.g. Kubernetes, ECS) Experience with web-based B2C, marketplace products Familiarity with web event tracking tools like Snowplow Experience defining and building DataOps practices and deployment strategies Experience defining data governance procedures & working with data catalogs Benefits Remote work with regular in-person bonding experiences sponsored by the company Competitive compensation Holistic perks program (including free therapy, employee wellness, and more) Excellent health, dental, and vision coverage 401k benefits with employer matching contribution The chance to build something that changes lives – and that people love Any piece of hardware or software that will make you happy and productive An awesome community of co-workers The base salary range for this position is $100,000 - $155,000 In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2025. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions. At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.

🏢 Summary: Full-time Data Engineer III role focused on building and maintaining large-scale healthcare data infrastructure and production-grade data pipelines within AWS. The position requires deep expertise in SQL, Python, Airflow, DBT, and cloud-based ELT processes, with an emphasis on leveraging AI tools to optimize engineering workflows. The role includes designing scalable data systems, optimizing analytical queries, and supporting high-volume healthcare datasets. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering, or related field or equivalent experience, 5+ years of experience as a data engineer, Expert-level SQL, Strong Python proficiency, Experience with AWS production systems, Experience building and scaling large-scale data infrastructure, Experience with Apache Airflow, Experience maintaining ELT processes with DBT, Experience designing database schemas in PostgreSQL and Amazon Redshift, Ability to use AI tools and LLM-assisted development workflows 📃 Skills: SQL, Python, AWS, Lambda, Glue, Fargate, Airflow, DBT, PostgreSQL, Redshift, Terraform, CloudFormation, ELT, LLM, GitHubCopilot 🏢 Description: ABOUT THE ROLE: We are seeking a full-time Data Engineer III to join our team and define and deploy mission-critical data infrastructure. The primary responsibility for this role is defining the processing of large healthcare datasets, which enable insights that improve the health of more than 3 million members. In this role, you will bring deep expertise in SQL and Python to build and maintain production-grade data pipelines within the AWS ecosystem — and you will leverage AI tooling to augment your workflow, accelerate development, and continuously improve the reliability and efficiency of the data platform. While familiarity with medical data is beneficial, it is not a requirement. WHAT YOU'LL DO: - Write production-level Python and SQL code, with a strong emphasis on complex SQL for data transformation, pipeline logic, and analytical query optimization. - Leverage AI tools and large language models to augment engineering workflows — from code generation and query optimization to automated testing, documentation, and process improvement. - Utilize AWS services such as Lambda, Glue, and Fargate for scalable data operations. - Build and maintain large-scale data pipelines using Apache Airflow. - Oversee the maintenance of Extract, Load, and Transform (ELT) processes using DBT. - Design optimized database schemas in PostgreSQL and Amazon Redshift to ensure data integrity and high performance. - Identify opportunities to apply AI-driven automation to repetitive or high-volume data engineering tasks, reducing manual effort and improving throughput. WHO YOU ARE: - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. - 5+ years of industry experience as a data engineer. - Expert-level SQL skills, including query optimization, schema design, and working with large-scale datasets in production environments. - Strong Python proficiency with experience writing and maintaining production-grade code. - Skilled in working with AWS systems in a production environment. - Experienced in scaling data infrastructure to handle high volumes of data. - Demonstrated ability to incorporate AI tools (e.g. GitHub Copilot, LLM-assisted development) into an engineering workflow to improve speed and quality. EXTRA CREDIT: - Experience working with medical and pharmacy claims data. - Knowledge in deploying applications using serverless architecture. - Hands-on experience managing AWS services such as Lambda, Glue, and Fargate. - Experience with Master Data Management and data governance. - Familiarity with infrastructure-as-code services such as Terraform or CloudFormation. - Experience using AI tooling to automate data quality checks, generate pipeline scaffolding, or accelerate ETL development. COMPENSATION: $125,000 - $150,000 annually, in addition to bonus and equity. Compensation offered will be determined by geographic location, experience, and qualifications. CYBERSECURITY AWARENESS NOTICE: In response to ongoing and industry-wide fraudulent recruitment activities (i.e., job scams), candidates will only be contacted from the company email domain. Bank details or deposits will never be requested as a condition of employment.

🏢 Summary: Full-time Data Engineer III role focused on building and optimizing large-scale healthcare data infrastructure and production-grade data pipelines within AWS. The position requires deep expertise in SQL and Python, experience with Airflow and DBT, and use of AI tooling to improve engineering workflows and data platform efficiency. Compensation includes salary, bonus, and equity. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering, or related field or equivalent experience, 5+ years of experience as a Data Engineer, Expert-level SQL, Strong Python proficiency, Experience with AWS in production environments, Experience building and scaling large-scale data infrastructure, Experience with Apache Airflow, Experience maintaining ELT processes with DBT, Ability to use AI tools and LLM-assisted development workflows 📃 Skills: SQL, Python, AWS, Lambda, Glue, Fargate, Airflow, DBT, PostgreSQL, Redshift, ELT, Terraform, CloudFormation, GitHubCopilot, LLM 🏢 Description: ABOUT THE ROLE: We are seeking a full-time Data Engineer III to join our team and define and deploy mission-critical data infrastructure. The primary responsibility for this role is defining the processing of large healthcare datasets, which enable insights that improve the health of more than 3 million members. In this role, you will bring deep expertise in SQL and Python to build and maintain production-grade data pipelines within the AWS ecosystem and leverage AI tooling to augment workflow, accelerate development, and continuously improve the reliability and efficiency of the data platform. WHAT YOU'LL DO: - Write production-level Python and SQL code, with a strong emphasis on complex SQL for data transformation, pipeline logic, and analytical query optimization. - Leverage AI tools and large language models to augment engineering workflows from code generation and query optimization to automated testing, documentation, and process improvement. - Utilize AWS services such as Lambda, Glue, and Fargate for scalable data operations. - Build and maintain large-scale data pipelines using Apache Airflow. - Oversee the maintenance of Extract, Load, and Transform (ELT) processes using DBT. - Design optimized database schemas in PostgreSQL and Amazon Redshift to ensure data integrity and high performance. - Identify opportunities to apply AI-driven automation to repetitive or high-volume data engineering tasks, reducing manual effort and improving throughput. WHO YOU ARE: - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. - 5+ years of industry experience as a data engineer. - Expert-level SQL skills, including query optimization, schema design, and working with large-scale datasets in production environments. - Strong Python proficiency with experience writing and maintaining production-grade code. - Skilled in working with AWS systems in a production environment. - Experienced in scaling data infrastructure to handle high volumes of data. - Demonstrated ability to incorporate AI tools (e.g. GitHub Copilot, LLM-assisted development) into an engineering workflow to improve speed and quality. EXTRA CREDIT: - Experience working with medical and pharmacy claims data. - Knowledge in deploying applications using serverless architecture. - Hands-on experience managing AWS services such as Lambda, Glue, and Fargate. - Experience with Master Data Management and data governance. - Familiarity with infrastructure-as-code services such as Terraform or CloudFormation. - Experience using AI tooling to automate data quality checks, generate pipeline scaffolding, or accelerate ETL development. COMPENSATION: $125,000 - $150,000 annually, in addition to bonus and equity. Compensation offered will be determined by geographic location, experience, and qualifications.

🏢 Summary: Senior Product Operations Analyst role focused on building and scaling processes, frameworks, and cross-functional workflows to ensure operational excellence and successful product launches across a multi-product SaaS platform. 🗂️ Requirements: 4+ years of experience in product operations, program management, or related operational role, Experience collaborating across Product, Engineering, Marketing, and Sales teams, Experience designing and implementing scalable, repeatable operational processes, Experience presenting and communicating with senior leadership (Director+ level), Hands-on experience with product management tools such as Jira and Confluence, Experience working in ambiguous, fast-paced environments and defining operational approaches 📃 Skills: Jira, Confluence, SaaS, ProductOperations, ProgramManagement, ProcessDesign, WorkflowManagement, ProductManagementTools 🏢 Description: The product operations team enables product excellence at scale at Datadog. With over thirty standalone products on a single platform, product operations drives consistency, efficiency, and quality across the organization. As a Senior Product Operations Analyst, you will help the product organization do its best work. You'll build and scale the processes, frameworks, and cross-functional workflows that enable PMs and their partners to ship effectively. This includes touchpoints with inbound, delivery, outbound workstreams in product development. This is a role for someone who thrives in the space between teams: driving alignment, removing friction, and ensuring that the operational foundations of the product org can keep pace with Datadog's growth. At Datadog, we place value in our office culture, the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You'll Do: Drive launch readiness and execution. Own and drive operational excellence for product launches. This includes coordinating across Product, Engineering, Marketing, Sales, Customer Success, and Support to ensure we are ready to bring quality products and support to our customers. Build and maintain a single source of truth for launches giving cross-functional partners real-time visibility into what's shipping, when, and what's needed from each team. Lead product-wide communications and operational support for major moments including major conferences, all-hands meetings, and cross-functional forums. You'll also need to be comfortable representing Product Operations to leadership. Drive centralized product knowledge and enablement, ensuring PMs and stakeholders have the tools, resources, templates, and context they need to succeed and making it easily discoverable. Incorporate customer voice into the product development process by mining our customer feedback tools for high signal insights. Then partnering with PMs to drive inclusion in their product planning. Build, refine, and scale core product operations processes. At its core this is meeting with stakeholders, identifying shared pain points and solving them for a distributed product org. You'll create the repeatable frameworks that let Datadog operate consistently across 30+ products. Who You Are: 4+ years of experience in product operations, program management, or a related operational role. Experience collaborating across multiple departments (Product, Engineering, Marketing, Sales, etc.) and aligning stakeholders with different priorities toward shared outcomes. Track record of designing and implementing scalable, repeatable processes that drive adoption, not just documentation that sits on a shelf. Experience communicating with and presenting to senior leadership at the Director+ level, both in writing and live settings. Hands-on experience with product management tools and workflows (Jira, Confluence, or similar), with a willingness to build and improve tooling as needs evolve. Experience working in ambiguous environments where you've had to define the approach, prove out value quickly, and iterate, not just maintain an existing playbook. Demonstrated ability to lead through influence rather than authority, building trust and driving outcomes across teams you don't directly manage. Bonus Points: Experience in a B2B SaaS or high-growth technology company. Experience in multiple functions (sales, engineering, product, operations, etc.) Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your experience, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds Access to Inclusion Talks, our internal panel discussions Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$145,000—$175,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Product Owner in the Data Science area responsible for developing and managing an application that supports selection of new store locations and revenue forecasting using machine learning models. The role covers full product lifecycle management, from discovery and roadmap creation to implementation and optimization, in an Agile environment. The position requires close cooperation with technical teams and stakeholders to deliver AI-driven solutions supporting business expansion. 🗂️ Requirements: Minimum 3 years of experience as Product Owner or in similar role, Experience in Data Science or Machine Learning projects, Practical experience with Agile and Scrum methodologies, Knowledge of software development lifecycle, Experience managing product backlog and priorities, Ability to translate business needs into technical requirements, Experience working with AI-based solutions, English at communicative level 📃 Skills: Agile, Scrum, MachineLearning, DataScience, AI, ProductManagement, Backlog, Roadmap, SDLC 🏢 Description: Product Owner (obszar Data Science) Tryb pracy: hybrydowo (2 dni w tygodniu z biura)/stacjonarnie w biurze w Gdańsku Sprawdź swoją szafę! Na pewno masz w niej choć jeden produkt marek Reserved, Mohito, Cropp, House lub Sinsay. A wiesz, że kupiłeś/aś go właśnie dzięki nam? Silky Coders od lat rozwija rozwiązania IT, e-commerce i data science dla Grupy LPP , tworząc technologie, z których każdego dnia korzystają miliony użytkowników . To również dzięki Silky rośnie satysfakcja klientów, a wolumen transakcji online pozytywnie zaskakuje nas każdego dnia. Nasze wartości zamykają się w akronimie FAST . To nie tylko tempo pracy — to nasze DNA. Działamy zwinnie, podejmujemy szybkie i odpowiedzialne decyzje, testujemy, iterujemy i dowozimy realną wartość. Odwaga, pasja i odpowiedzialność za efekt są dla nas tak samo ważne jak jakość rozwiązań. Pracujemy w duchu AI FIRST — aktywnie wykorzystujemy AI i nowe technologie, by usprawniać codzienną pracę i szybciej dostarczać wartość. Szukamy osób, które chcą działać odpowiedzialnie, mieć realny wpływ i wspólnie z nami rozwijać technologie dla milionów użytkowników. O obszarze: Poszukujemy osoby do obszaru Data Science do zespołu SPOT , odpowiedzialnego za rozwój aplikacji wspierającej wybór najlepszych lokalizacji pod nowe otwarcia salonów oraz prognozowanie przychodów w pierwszych 12 miesiącach sprzedaży. Stacjonarna sieć sprzedaży Grupy LPP liczy już ponad 3 tys. sklepów, a dynamiczny rozwój - szczególnie marki Sinsay - wymaga coraz trafniejszych i szybszych decyzji biznesowych wspierających ekspansję. Właśnie dlatego rozwijamy rozwiązania oparte na modelach machine learning, które pomagają wskazywać najbardziej perspektywiczne lokalizacje pod nowe salony. Nasze narzędzie działa już na 7 rynkach i jest stale rozwijane, dając realny wpływ na decyzje związane z rozwojem sieci sprzedaży. Co jest dla nas ważne: Minimum 3 lata doświadczenia w pracy na podobnym stanowisku Wysokie umiejętności analityczne, umiejętność trafnego wyciągania wniosków oraz znajdowania adekwatnych rozwiązań Wysokie umiejętności komunikacyjne i umiejętność prezentowania informacji Znajomość i praktyczne doświadczenie w posługiwaniu się metodykami zwinnymi w prowadzeniu projektów Umiejętności interpersonalne służące negocjacjom terminów Znajomość procesu tworzenia oprogramowania Samodzielność w działaniu i nastawienie na cele Umiejętność współpracy w zróżnicowanym zespole i otoczeniu Doświadczenie w pracy z metodologią Agile / Scrum Znajomość języka angielskiego na poziomie komunikatywnym umożliwiającym pracę z zespołami zagranicznymi AI-powered mindset: otwarta głowa na testowanie nowych narzędzi AI i chęć wdrażania ich tam, gdzie mogą przynieść realną oszczędność czasu lub poprawę jakości. Co będziesz robić: Kompleksowo zarządzać produktem lub portfolio produktów przez cały cykl życia, od analizy i planowania, poprzez implementację, testy, wdrożenie i utrzymanie, współtworzenie strategii rozwoju aplikacji Kreować wizję produktu (w tym podział na MVP i kolejne Release), poszukiwać rozwiązań i iteracyjnego rozwoju produktu, proponować koncepcje, product discovery Pracować z product backlogiem oraz zarządzać priorytetami, także w obrębie portfolio produktów Optymalizować istniejące procesy, planować wdrożenia nowych funkcjonalności, opracowywanie kierunki rozwoju produktu Tworzyć roadmapy produktu, wizję w ramach obszaru odpowiedzialności oraz raportować postępy prac nad projektem Współpracować z interesariuszami i przekładać potrzebę biznesową na język technologii Pracować w metodykach zwinnych Prezentować efekty zrealizowanych projektów oraz nowych koncepcji Co zyskasz, gdy do Nas dołączysz: Umowę o pracę lub kontrakt B2B Pracę w trybie stacjonarnym/hybrydowym/ zdalnym Parking samochodowy Program HeLPP-program wellbeingowy obejmujący bezpłatne i anonimowe doradztwo w obszarach: prawnym, psychologicznym i finansowym Opieka medyczna na preferencyjnych warunkach (Lux Med albo EnelMed do wyboru) -dbamy nie tylko o Ciebie, ale i o Twoich bliskich! Budżet szkoleniowy, dzięki któremu jesteś na bieżąco z nowinkami technologicznymi i nieustannie się rozwijasz Budżet integracyjny–dbamy o to, by regularnie spotykać się z zespołem i wspólnie spędzać czas Kody zniżkowe - 25% na zakupy w salonach marek LPP: (Reserved, Mohito, Cropp, House i Sinsay) – którymi możesz dzielić się z bliskimi, także online Program Poleceń Pracowniczych– dzięki któremu, masz wpływ na to z kim pracujesz Godziny pracy– jesteś tzw. rannym ptaszkiem i lubisz zaczynać o 7? Ekstra! Chcesz pospać dłużej i zacząć o 9? Nie ma problemu! Ważne, żeby być dostępnym, w naszych core hours między 9 a 15 Grupy sportowe #silkyteam – aktualnie grupa rowerowa i biegowa Jeśli lubisz aktywnie spędzać czas, możesz wspólnie z bliskimi skorzystać z wybranej oferty sportowo-rekreacyjnej: korzystając z programu Multisport Rozmowa telefoniczna z rekruterką (maksymalnie 20 minut) – krótka rozmowa, byśmy wzajemnie poznali swoje oczekiwania i doświadczenia. Etapy rekrutacji: Rozmowa telefoniczna z rekruterką Spotkanie rekrutacyjne stacjonarne w naszym biurze w Gdańsku przy ul. Długie Ogrody 12 Decyzja + feedback

🏢 Summary: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.