Data Scientist

🏢 Summary: Oferta dotyczy pracy na stanowisku Data Scientist przy projektowaniu, wdrażaniu i utrzymaniu rozwiązań machine learning oraz systemów rekomendacyjnych. Rola obejmuje analizę danych, prototypowanie modeli, deployment produkcyjny i współpracę z klientami biznesowymi. Firma oferuje pracę z nowoczesnym stackiem technologicznym, elastyczne warunki oraz możliwość pracy zdalnej. 🗂️ Requirements: Wykształcenie wyższe w obszarze ekonometrii, metod ilościowych, matematyki lub informatyki, Minimum 2 lata doświadczenia jako Data Scientist, Doświadczenie we wdrażaniu komercyjnych projektów analitycznych, Doświadczenie w tworzeniu systemów rekomendacyjnych, Znajomość SQL, Bardzo dobra znajomość Python, Znajomość pandas, Znajomość numpy, Znajomość pyspark, Znajomość polars, Znajomość algorytmów machine learning, Programowanie obiektowe, Znajomość code review, Znajomość CI/CD, Umiejętność pracy z klientem biznesowym 📃 Skills: Python, SQL, Pandas, NumPy, PySpark, Polars, Scikit-learn, SciPy, XGBoost, Spark, Jupyter, Zeppelin, Keras, PyTorch, TensorFlow, Optuna, AWS, Azure, GCP, CI/CD, NLP, LLM, GenAI 🏢 Description: Firma Algomine, należąca do grupy TTPSC, poszukuje Data Scientist Zakres obowiązków: Projektowanie i implementacja rozwiązań wykorzystujących uczenie maszynowe Samodzielna praca na projektach analitycznych i consultingowych Bliska współpraca z klientem, analiza procesów, zbieranie wymagań Prowadzenie analiz eksploracyjnych Prototypowanie rozwiązań analitycznych (uczenie modeli, testowanie podejść) Development i deployment rozwiązań o charakterze produkcyjnym Utrzymywanie i rozwój wdrożonych rozwiązań Prezentacja koncepcji i business-case, omawianie uzyskiwanych wyników Poszukiwane kompetencje: Wykształcenie wyższe o ścisłym profilu: ekonometria, metody ilościowe, matematyka, informatyka Min. 2 lata doświadczenia w roli Data Scientist / we wdrażaniu komercyjnych projektów analitycznych Doświadczenie w tworzeniu i rozwijaniu systemów rekomendacyjnych Wysokie umiejętności przetwarzania danych (SQL, Python: pandas, numpy, pyspark, polars) Dobra znajomość technik i algorytmów machine learning'owych oraz ich implementacji w Python Bardzo dobra znajomość języka Python, w tym programowania obiektowego, optymalizacja kodu Znajomość dobrych praktyk programistycznych (code review, CICD) Dobra komunikacja, umiejętność dialogu z biznesem, prezentacji złożonych koncepcji Mile widziane: Doświadczenie w obszarze doradztwa i consultingu / w pracy dla różnych klientów zewnętrznych, ewentualnie wewnętrznych (np. dział analiz w firmie) / doświadczenie z kilku branż Doświadczenie w projektach end-to-end: od projektu do wdrożenia Doświadczenie we wdrażaniu projektów w obszarach: NLP, LLM, GenAI Znajomość narzędzi służących do przetwarzania dużych zbiorów danych (Apache Spark) Znajomość przynajmniej jednego środowiska chmurowego: AWS, Azure, GCP Stos technologiczny: Open-source: Python, doświadczenie w pracy w notebookach (Jupyter, Zeppelin), Spark (PySpark), Biblioteki: Pandas, Numpy, Scikit-learn, Scipy, Xgboost (mile widziane: Keras, PyTorch, TensorFlow, Optuna) Oferujemy: Nowoczesny stack technologiczny i otwartość na wdrażanie nowych rozwiązań Udział w zróżnicowanych i zaawansowanych technologicznie projektach Data Science Pracę w dedykowanym zespole Data Science Prywatna opieka medyczna i karta sportowa Elastyczny czas pracy i możliwość 100% pracy zdalnej Spotkania integracyjne oraz niezapomniane imprezy firmowe

🏢 Summary: The offer is for a Python-based Data Analyst role focused on delivering credit underwriting insights, including risk calculations, simulations, and model backtesting using Python in a Unix-based environment. The position involves close collaboration with data scientists and cross-functional teams, producing analytical reports and improving internal analytical processes. The role requires strong data wrangling, statistical analysis, and version control skills. 🗂️ Requirements: Bachelor’s degree in mathematics, statistics, analytics, engineering, computational field, or computer science, Strong proficiency in Python for data wrangling and analysis, Experience with SQL queries, Proficiency in pandas and numpy, Ability to work in Unix-based environments, Experience with GitHub version control, Strong statistical and analytical skills, Ability to manage multiple projects and meet deadlines 📃 Skills: Python, SQL, pandas, numpy, scipy, GitHub, Unix, Conda, Jupyter 🏢 Description: Algomine , a company belonging to the TTPSC Group, is looking for a Python -based Data Analyst. Responsibilities: Work closely with a team of data analysts and data scientists to deliver both common and custom types of credit underwriting insights , including but not limited to: Historical (actual) and future (projected) risk calculations, counterfactual simulations, model backtesting, projected business economic impact calculations. Collaborate with a cross-functional team of customer-facing teammates to ensure the deliverables are accurate and on time. Provide feedback to internal teams of data analysts, data scientists, and machine learning engineers to continuously improve internal processes and software. Deliver outputs, often in the form of Python/Jupyter-based reports , within a Unix-based Conda-managed environment. Delivery will require the combined use of: ○ Open-source Python-based packages, typically used for data wrangling and statistical analyses, e.g., pandas, numpy, scipy. ○ In-house proprietary Python-based packages. Conduct root-cause analysis as edge cases arise, resulting from unexpected or unintuitive analytical results , often stemming from incorrect or atypical information provided by our customers or business partners. Independently use Python packages , which includes reviewing API docs to understand the functional use and reading source code for debugging purposes to obtain a desired outcome, as required. Routinely use a distributed version control system, e.g., GitHub , as a part of your daily workflow. Requirements: A minimum of a Bachelor’s degree in a mathematical, statistics, analytics, computational, engineering, or computer science field Strong proficiency with data wrangling, SQL queries, analysis, and visualization using pandas and numpy in Python. Comfortable with GitHub and basic Unix terminals. Strong communication skills , with the ability to quickly understand problems, interpret results, and explain next steps/outcomes to technical collaborators. Proficient statistical and analytical ability (e.g., early college-level math & statistics) to tackle data-driven problems. Ability to manage and deliver multiple projects within their timelines. What we offer: Flexible forms of employment and working hours Interesting and challenging work in a dynamically growing company within a Capital Group Work on innovative projects using modern technologies Direct impact on shaping the market image of the Capital Group companies Opportunities to develop competencies across a wide range of areas Attractive remuneration Employment stability and a friendly working atmosphere

🏢 Summary: B2B contract for a Data Scientist working in a hybrid model (3 days onsite in Warsaw) focused on building, implementing, and maintaining statistical and machine learning models supporting actuarial processes. The role involves advanced data analysis, feature engineering, process automation, and close collaboration with actuarial and underwriting teams. 🗂️ Requirements: Very good knowledge of Python for data analysis and modeling, Strong knowledge of machine learning, predictive analytics, and statistical inference, Experience with data processing tools (pandas, SQL), Experience with data visualization tools (matplotlib, seaborn, ggplot2), Experience with code repositories, Strong analytical and problem-solving skills, Ability to work onsite in Warsaw 3 days per week 📃 Skills: Python, MachineLearning, PredictiveAnalytics, Statistics, pandas, SQL, matplotlib, seaborn, ggplot2, Git, SAS, AWS, Azure, Emblem, Radar 🏢 Description: Profil: Data Scientist Miejsce świadczenia usług: model hybrydowy – 3 razy w tygodniu praca z biura (Warszawa) + 2 razy w tygodniu praca zdalna – warunek konieczny. Forma współpracy: B2B. kontrakt Stawka: 150 - 180 zł/h Zakres obowiązków: Projektowanie, wdrażanie oraz utrzymanie modeli statystycznych i modeli uczenia maszynowego wspierających funkcje aktuarialne. Analiza dużych i złożonych zbiorów danych w celu formułowania praktycznych wniosków wspierających procesy decyzyjne. Prowadzenie eksploracyjnej analizy danych (EDA) oraz tworzenie cech (feature engineering) w celu zwiększenia jakości i interpretowalności modeli. Wsparcie automatyzacji i optymalizacji procesów aktuarialnych z wykorzystaniem nowoczesnych narzędzi oraz frameworków data science. Ścisła współpraca z aktuariuszami, underwriterami oraz zespołami likwidacji szkód w celu przekładania potrzeb biznesowych na rozwiązania analityczne. Przygotowywanie prezentacji wyników analiz i rekomendacji w sposób przystępny dla odbiorców technicznych. Wymagania: a. Must-have: Bardzo dobra znajomość języka Python w zakresie analizy danych i modelowania. Solidna wiedza z obszaru uczenia maszynowego, analityki predykcyjnej oraz wnioskowania statystycznego. Doświadczenie w pracy z narzędziami do przetwarzania danych (np. pandas, SQL) oraz wizualizacji danych (np. matplotlib, seaborn, ggplot2). Umiejętność pracy z repozytorium kodu. Silne kompetencje analityczne: rozwinięte umiejętności rozwiązywania problemów i dociekliwość w pracy z danymi. Umiejętność efektywnej komunikacji i współpracy w zespołach interdyscyplinarnych. Dyspozycyjność do pracy w biurze 3 razy w tygodniu. b. Nice-to-have: Znajomość narzędzi pricingowych WTW (Emblem, Radar). Znajomość branży ubezpieczeniowej. Znajomość narzędzi SAS. Znajomość systemów kontroli wersji (Git). Znajomość środowisk chmurowych (AWS, Azure). Benefity: Prywatna opieka medyczna Karta Multisport lub dostęp do kafeterii MyBenefit Ubezpieczenie na życie Co zyskasz dzięki aplikacji na ofertę Antal? Gdy Twoja aplikacja zostanie rozpatrzona pozytywnie (zostaniesz zaproszony/a do procesu), otrzymasz wsparcie Konsultanta/Konsultantki, który/a utrzyma z Tobą stały kontakt (mailowo lub telefonicznie), pomoże Ci przygotować się do rozmowy rekrutacyjnej z przyszłym pracodawcą oraz zatroszczy się o jakość procesu rekrutacyjnego, w którym aktualnie bierzesz udział. Kim jesteśmy? Jesteśmy liderem rekrutacji specjalistów i menedżerów oraz doradztwa w obszarze HR. Marka obecna jest w 35 krajach, w Polsce działa od 1996 roku. Przez ten czas zbudowaliśmy wiele karier kandydatów, dzięki elastycznemu i kompleksowemu podejściu do wszystkich rekrutacji. Antal tworzy ponad 130 profesjonalnych konsultantów ds. rekrutacji, którzy są oni nie tylko skutecznymi rekruterami, ale także wykwalifikowanymi doradcami, specjalizującymi się zarówno w zakresie wybranego sektora, jak i stanowiska.

🏢 Summary: Senior Data Scientist role focused on building and operating real-time, AI-driven decisioning systems that directly impact user experience and conversion rates. The position involves developing and deploying production-grade machine learning models with strict low-latency requirements and contributing to personalization, experimentation, and recommendation systems. It combines hands-on ML engineering with experimentation, causal analysis, and large-scale data processing in a business-facing environment. 🗂️ Requirements: 7+ years commercial experience in Data Science with production ML focus, Strong experience deploying and maintaining production ML models, Experience with real-time systems and low-latency constraints, Proficiency in Python and SQL, Hands-on experience with gradient boosting methods, Experience with recommendation systems and uplift modeling, Strong knowledge of A/B testing and causal inference, Experience building feature engineering pipelines at scale, Experience with Apache Spark or PySpark, Cloud platform experience (AWS preferred), Familiarity with LLMs and GenAI for personalization 📃 Skills: Python, SQL, NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, PySpark, Spark, AWS, Databricks, NLP, LLM, GenAI 🏢 Description: We are looking for a Senior Data Scientist to join a Growth Alliance team focused on AI-driven decisioning and user-facing machine learning systems. This role is suited for a technically strong data scientist who is equally comfortable working with business stakeholders and operating production ML systems at scale. About the Project: This is a high-impact role working directly on systems that influence end-user experience and conversion. You will operate in a real-time environment with strict low-latency requirements (<40 ms), contributing to a shift toward AI-driven decisioning aimed at improving product performance and increasing conversion rates. The work spans production ML pipelines, experimentation, and personalization, not just research or experimentation in isolation. Responsibilities: Design, develop, and deploy production machine learning models with real-time constraints; Build and maintain recommendation systems, uplift models, and contextual bandit frameworks; Conduct A/B testing, causal inference analyses, and statistical hypothesis testing; Develop and maintain feature engineering pipelines at scale using PySpark / Apache Spark; Monitor and validate deployed models to ensure performance and reliability; Collaborate closely with business stakeholders to challenge assumptions and define the right problems; Contribute to generative AI and LLM-based personalization initiatives; Work with decisioning platforms, personalization engines, and Martech integrations. Qualifications: 7+ years of commercial experience in Data Science with a strong production ML focus; Proficiency in Python (NumPy, Pandas, Scikit-learn) and SQL; Hands-on experience with gradient boosting methods (XGBoost, LightGBM); Experience with recommendation systems, clustering, NLP, and uplift modeling; Solid background in A/B testing frameworks, causal inference, and statistical modeling; Experience with feature engineering and production ML pipelines at scale; Cloud platform experience, preferably AWS; Familiarity with LLMs, prompt engineering, and GenAI for content personalization; Strong communication skills and ability to work in a highly business-facing environment; Databricks experience is a nice to have. Recruitment Process: Initial interview with our recruitment team; Interview with the hiring manager; Live Coding Assessment; Meeting with the Project Manager. Inuits Sp. z o.o. is registered in the National Register of Employment Agencies (KRAZ) under number 35420.

🏢 Summary: AI Engineer role focused on designing and implementing GenAI solutions, particularly RAG-based systems using LLM services. The position involves prototyping AI assistants, developing and deploying production-grade solutions, and working with Azure-based AI services. The role combines hands-on engineering with analytical prototyping in commercial AI projects. 🗂️ Requirements: Higher education in Computer Science, Data Science, Mathematics, Econometrics or related field, Minimum 3 years of experience as AI Engineer delivering LLM-based projects, Very good knowledge of Azure environment, Very good knowledge of Python, Strong knowledge of RAG techniques and prompt engineering, Experience implementing and integrating LLMs in Python, Basic knowledge of NLP, Knowledge of code review practices and CI/CD pipelines using Gitlab 📃 Skills: Python, Langchain, Streamlit, MLFlow, Azure, OpenAI, DocumentIntelligence, AISearch, AppService, Functions, DevOps, Databricks, Sharepoint, RAG, LLM, NLP, Gitlab, CICD 🏢 Description: Firma Algomine, należąca do grupy TTPSC, poszukuje AI Engineer Zakres obowiązków: Projektowanie i implementacja rozwiązań z obszaru GenAI W szczególności budowa rozwiązań typu RAG (m.in. z użyciem Langchain) z wykorzystaniem gotowych modeli/usług LLM Prototypowanie aplikacji typu asystent AI dla użytkowników biznesowych (m.in. w oparciu o Streamlit) Development i deployment rozwiązań o charakterze produkcyjnym Bliska współpraca z klientem, analiza procesów, zbieranie wymagań Praca na projektach analitycznych i konsultingowych Prototypowanie rozwiązań analitycznych (testowanie podejść) Prezentacja koncepcji i business case, omawianie uzyskiwanych wyników Ewaluacja nowych technologii, bibliotek, podejść oraz proponowanie innowacyjnych rozwiązań Stos Technologiczny Open source: Python, Langchain, Streamlit, MLFlow Azure: OpenAI, Document Intelligence, AI Search, App Service, Functions, DevOps, Databricks Sharepoint Poszukiwane kompetencje: Wykształcenie wyższe informatyczne lub pokrewne np.: data science, matematyka, ekonometria, metody ilościowe Ponad 3-letnie doświadczenie w roli inżyniera AI we wdrażaniu komercyjnych lub naukowych projektów wykorzystujących usługi LLM Bardzi dobra znajomość środowiska Azure Bardzo dobra znajomość języka Python Dobra znajomość technik RAG, prompt engineering, używania LLM oraz ich implementacji w Python Podstawowa znajomość zagadnień przetwarzania języka naturalnego (NLP) Znajomość dobrych praktyk programistycznych (Code review, Gitlab, CI/CD) Dobra komunikacja, umiejętność prowadzenie rozmów z odbiorcą biznesowym Dobra znajomość języka angielskiego Mile widziane: Doświadczenie w obszarze doradztwa i consultingu Doświadczenie we wdrażaniu projektów data science/AI od startu do uruchomienia produkcyjnego Znajomość Azure Databricks Znajomość PyTorch, TensorFlow Doświadczenie w operacjonalizacji modeli Certyfikaty potwierdzające posiadane umiejętności Oferujemy: Udział w zróżnicowanych i zaawansowanych technologicznie projektach GenAI Nowoczesny stack technologiczny i otwartość na wdrażanie nowych rozwiązań Pracę w dedykowanym zespole Data Science/AI Prywatna opieka medyczna i karta sportowa Elastyczny czas pracy i możliwość 100% pracy zdalnej Spotkania integracyjne oraz niezapomniane imprezy firmowe

🏢 Summary: The offer is for an Azure Data Engineer responsible for designing, building and maintaining cloud-based data pipelines and storage solutions in Azure. The role focuses on implementing scalable data architectures and APIs using modern Azure services. It involves hands-on development and continuous improvement of data engineering practices in a cloud environment. 🗂️ Requirements: Minimum 2 years of experience with Azure, Experience with Azure Data Factory, Experience with Azure Storage (ADLS), Experience with Azure SQL, Experience with Azure Databricks, Experience with Azure API Management, Hands-on programming skills in Python, Hands-on programming skills in JavaScript, Experience working with JSON, Experience working with XML 📃 Skills: Azure, Azure Data Factory, Azure Storage, ADLS, Azure SQL, Azure Databricks, API Management, Python, JavaScript, JSON, XML 🏢 Description: Firma Algomine, należąca do grupy TTPSC, poszukuje Azure Data Engineer Responsibilities: Data flow: Design, build and maintain data pipelines, APIs and protocols as needed to implement and improve CS’s strategy. (Technology: Azure Data Factory, Azure Databricks and Azure API Management) Data Storage: Design, build and maintain best-in-class data storage solutions best suited to the business requirements and all data types, whether structured, unstructured, large or small, rapid access or cold storage, and including meta-data, hierarchies and ontologies. (Technology: Azure Storage, Azure SQL) Technology Evolution: Stay up-to-date with latest trends in cloud-based data engineering and development. Requirements At least 2 years of experience working with Azure Experience with Azure Data Factory, Azure Storage (ADLS), Azure SQL, Azure Databricks and API Management are necessary for this role Hands-on programming skills, preferably in Python and JS, and data formats such as JSON and XML. Excellent written and verbal communication to work side-by-side with a high-performing team, as well as openness and flexibility to learn, adopt and adapt to new technologies. Able to multi-task and work in a complex organization with multiple stakeholders. Azure Data Engineer Associate certification (preferable) What we offer: Modern technology stack and openness to implementing new solutions Participation in diverse and technologically advanced projects Private healthcare and sports card Flexible working hours and the possibility of 100% remote work Team-building events and unforgettable company parties

🏢 Summary: Senior Data Scientist SME role supporting federal financial management modernization through advanced data analytics, visualization, and automated reporting solutions in a TS/SCI-cleared environment. The position focuses on transforming complex financial and operational data into actionable insights for audit readiness, financial reporting, and executive decision-making. This is a fully on-site role requiring extensive experience with federal financial systems and business intelligence platforms. 🗂️ Requirements: Active TS/SCI Security Clearance, Bachelor's degree in Accounting, Finance, Business, or related field, 10+ years of experience in federal financial management, accounting, auditing, budgeting, or financial reporting, 5+ years of experience developing dashboards and visualizations using Power BI, Tableau, or similar BI platforms, 5+ years of experience analyzing large financial, budgetary, or operational datasets 📃 Skills: PowerBI, Tableau, SQL, ETL, DAX, ERP, DataModeling, DataVisualization, BusinessIntelligence, DataGovernance 🏢 Description: Clearance: Must have an active TS/SCI Security Clearance. Job Description: In your role as a Data Scientist SME, you will provide expertise supporting financial management modernization efforts through data analytics, visualization, reporting automation, and business intelligence solutions. You will work closely with financial management stakeholders to transform complex financial, budgetary, and operational data into actionable insights that support audit readiness, financial reporting, internal controls, and executive decision-making. Responsibilities: - Design, develop, and maintain enterprise financial dashboards, scorecards, and data visualizations that support financial reporting, audit readiness, and organizational performance management. - Analyze large financial and operational datasets from multiple source systems to identify trends, anomalies, risks, and opportunities for process improvement. - Develop automated reporting solutions that improve the accuracy, consistency, and timeliness of financial information provided to leadership. - Translate complex financial management requirements into intuitive visualizations and reporting products for both technical and non-technical audiences. - Support audit readiness initiatives through data analysis, reconciliation activities, and reporting of key financial metrics. - Develop data models, business rules, and reporting logic to support financial statement preparation, audit support, and management reporting. - Collaborate with functional and technical stakeholders to improve data quality, governance, and reporting capabilities across financial management systems. - Perform financial data validation and reconciliation activities to ensure completeness, accuracy, and reliability of reporting outputs. - Develop standard operating procedures (SOPs), reporting documentation, data dictionaries, and visualization governance artifacts. - Support the development of corrective action plans (CAPs), remediation strategies, and performance monitoring solutions related to audit findings and financial management initiatives. - Research emerging technologies, analytics methodologies, and data visualization best practices to enhance organizational reporting capabilities. - Present analytical findings and recommendations to senior leadership and stakeholders. Required Skills: - Bachelor's degree in Accounting, Finance, Business, or a related field. - 10+ years of experience supporting federal financial management, accounting, auditing, budgeting, or financial reporting initiatives. - 5+ years of experience developing data visualizations, dashboards, and reporting solutions using Power BI, Tableau, or similar business intelligence platforms. - 5+ years of experience analyzing and interpreting large financial, budgetary, or operational datasets. Desired Skills: - Strong understanding of data governance, data quality, and reporting best practices. - CPA, CDFM, CGFM, Microsoft Power BI Data Analyst Associate, Tableau Certified Data Analyst, or similar certification. - Experience developing Power BI semantic models, DAX measures, calculated columns, and advanced visualizations. - Experience integrating data from ERP, accounting, budget, or financial management systems. - Familiarity with OMB Circular A-123, FMFIA, FFMIA, FASAB, and federal financial reporting requirements. - Experience supporting audit remediation, audit liaison activities, CAP development, and NFR remediation. - Experience with SQL, ETL processes, data transformation, and data modeling. - Excellent oral and written communication skills. - Experience briefing senior executives and translating technical findings into business-focused recommendations. Compensation and Benefits: - Salary range: $160,000 to $200,000. - Major medical benefits including dental and vision coverage. - 401(k) contribution plan. - Holiday and personal time off. - Professional development training and certification benefits. - Health and wellness subsidies. - Paid time off for community service.

🏢 Summary: Remote Data Scientist V contract role focused on advanced analytics, experimentation, and data-driven decision-making for new product development. The position involves building statistical models, designing A/B tests and KPI frameworks, and partnering with cross-functional teams to influence product strategy. Candidates should have strong expertise in Python, SQL, statistics, and product analytics in fast-paced technology environments. 🗂️ Requirements: Experience supporting 0-to-1 product development with data science, Proficiency in Python, Advanced SQL experience, Strong statistics knowledge, Experience with A/B testing, Experience designing KPI frameworks, Knowledge of operational research techniques, Ability to translate analytical findings into business recommendations, Ability to manage multiple priorities, Bachelor’s degree in Statistics, Computer Science, Data Science, Mathematics, or related field, Eligibility to work on direct W2 without sponsorship 📃 Skills: Python, SQL, Statistics, Modeling, Analytics, Forecasting, Optimization, Simulation, Experimentation, Dashboards, Automation, Regression 🏢 Description: itD is seeking a Data Scientist V to drive data-informed decision-making for new product development by delivering advanced analytics, experimentation, and actionable insights across cross-functional teams. The ideal candidate will bring deep expertise in data science, statistical analysis, and product analytics, along with a proven track record of supporting 0-to-1 product development, designing measurement frameworks, and influencing product strategy through data. Duration: 6 Months We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities - Analyze large, complex datasets to identify trends, business opportunities, and key drivers that influence product performance. - Design, execute, and evaluate experiments, including A/B tests, KPI frameworks, and measurement strategies for new product initiatives. - Develop reproducible analyses, dashboards, and reporting solutions to enable ongoing product and business performance monitoring. - Build statistical models and operational research solutions to support forecasting, optimization, prioritization, and strategic planning. - Partner with product managers, engineers, and cross-functional stakeholders to translate business questions into scalable analytical solutions. - Present analytical findings and recommendations to technical and non-technical audiences, enabling data-driven product decisions. - Validate data quality, document analytical methodologies, and ensure accuracy and consistency across reporting and insights. Internal Responsibilities - Attend regular internal practice community meetings. - Collaborate with your practice team on industry thought leadership. - Complete client case studies and learning material. - Build out material to contribute to the Digital Transformation practice. - Attend internal networking events. - Work with leadership on career fast-track opportunities. Required Qualifications and Skills - Proven experience using data science to support 0-to-1 product development. - Strong proficiency in Python for data analysis, statistical modeling, and automation. - Advanced experience with SQL for querying, transforming, and analyzing large-scale datasets. - Strong knowledge of statistics, including hypothesis testing, regression analysis, experimental design, and statistical inference. - Experience designing and evaluating A/B tests, KPI frameworks, and measurement methodologies. - Knowledge of operational research techniques, including optimization, simulation, or decision analysis. - Experience translating complex analytical findings into actionable business recommendations. - Ability to manage multiple priorities and deliver high-quality analytical work in a fast-paced environment. Preferred Qualifications and Skills - Experience building or supporting data pipelines or a data engineering background. - Previous experience at a large technology company. - Experience supporting rapid product innovation within consumer technology environments. - Experience partnering closely with product teams on product strategy and experimentation. Education - Bachelor's degree in Statistics, Computer Science, Data Science, Mathematics, or a related quantitative field, or equivalent work experience required. Benefits - Comprehensive medical benefits - 401(k) plan - Paid holidays

🏢 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: Presales AI Engineer/Consultant (AWS) role focused on designing and presenting AI/GenAI solutions in AWS cloud. The position combines technical architecture, PoC development, and advisory support in presales processes for AI/ML projects. It involves close collaboration with clients and delivery teams to define and hand over AI solutions. 🗂️ Requirements: Experience in AI/ML projects, Practical experience with LLM and GenAI, Knowledge of AI architecture in AWS, Strong Python proficiency, Experience with AWS services: Bedrock, SageMaker, OpenSearch, Lambda, Ability to design AI/GenAI solution architectures, Experience in preparing PoC and technical documentation, Experience in requirements gathering and business case creation, English level C1 📃 Skills: Python, AWS, Bedrock, SageMaker, OpenSearch, Lambda, LLM, GenAI, RAG, LangChain, AI, ML 🏢 Description: Firma Algomine, należąca do grupy TTPSC, poszukuje Presales AI Engineer/Consultant (AWS) Zakres obowiązków: Wsparcie procesów presales: analiza potrzeb klientów, warsztaty discovery, definiowanie use case’ów AI Projektowanie koncepcji i architektur rozwiązań AI/GenAI w chmurze AWS Przygotowywanie PoC, demo i materiałów technicznych (prezentacje, architektury, estymacje) Doradztwo technologiczne w obszarze LLM, GenAI, RAG, agentów AI Współpraca z zespołami delivery przy przekazywaniu projektów do realizacji Poszukiwane kompetencje: Doświadczenie w projektach AI/ML, w tym praktyczna praca z LLM i GenAI Znajomość architektury rozwiązań AI w AWS (np. Bedrock, SageMaker, OpenSearch, Lambda) Bardzo dobra znajomość Pythona i ekosystemu AI/ML Doświadczenie w rozmowach z klientami, zbieraniu wymagań i tworzeniu business case’ów Umiejętność tłumaczenia zagadnień technicznych na język biznesu Język angielski na poziomie C1 Mile widziane: Doświadczenie presalesowe lub konsultingowe Znajomość RAG, prompt engineering, orkiestracji agentów (np. LangChain) Certyfikaty AWS (AI/ML lub architektoniczne) Oferujemy: Elastyczny model współpracy Możliwość długofalowej współpracy przy kolejnych inicjatywach Pracę z dojrzałym zespołem technicznym i sprzedażowym. Współtworzenie kompetencji AI w organizacji Prywatna opieka medyczna i karta sportowa