Data Science Tech Lead

🏢 Summary: Engineering role focused on analysing, extracting and integrating real-time sports data from diverse sources using modern TypeScript practices. The position involves designing scalable data extraction frameworks, working with various network protocols, and contributing to clean, test-driven architectures. You will collaborate on high-performance systems that power data-driven decisions. 🗂️ Requirements: Proven TypeScript experience, Strong understanding of HTTP/HTTPS protocols, Experience with REST APIs and WebSockets, Hands-on experience in writing automated tests, Experience designing highly scalable systems, Practical experience with Docker, Practical experience with Kubernetes, Ability to design clean architecture and apply TDD principles 📃 Skills: TypeScript, JavaScript, HTTP, HTTPS, REST, WebSockets, TDD, Docker, Kubernetes, AWS, S3, EC2, VPC, ElastiCache, MSK, Puppeteer, Cheerio, Axios, gRPC, WebScraping, Scalability, NetworkProtocols, CleanArchitecture, Testing 🏢 Description: We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. Job Description YOUR PROFILE: We are looking for a talented enigneer, who relishes in a variety of data sources, shapes, protocols and technologies. We assume you feel comfortable with analysing various sources, identifying the relevant data and then finding ways to extract it efficiently. Where generalization does exist, you should be able to identify it and work with the architects and other engineers in the creation of a data extraction framework. We expect that you can be an advocate of clean code, and clean architecture, TDD (Test Driven Development), pair programming and always welcome feedback. We hope you feel learning is a natural part of your workday and you have a high interest in keeping up with current best practices in your areas of expertise. THE CHALLANGE: Analyse, extract and integrate sports oriented real-time data from a variety of complex sources, showcasing your adaptability to different protocols and technologies. Collaborate with architects, tech leaders and engineers to innovate and refine data extraction frameworks, ensuring efficient handling data streams, thus directly impacting the speed and accuracy of data-driven decisions. Utilise proven knowledge in TypeScript/JS, and modern development practices to design optimal solutions. Be a proponent of clean code and clean architecture ABOUT YOU: Proven TypeScript skills Understanding of network protocols such as HTTP/HTTPS, including response statuses, headers, request methods, cookies, etc. Familiarity with REST API & WebSockets Hands-on experience in writing tests Experience in designing and working on highly scalable systems Experience with Docker and K8s A can-do attitude, take pride in own work and an ability to keep up momentu Desirable experience: Familiarity with various AWS services including S3, EC, VPC, ElastiCache, MSK, etc Experience with libraries and tools for web scraping/crawling, such as Puppeteer, Cheerio, Axios, or similar. gRPC Experience with Docker and K8s Worked in Agile development teams Keen on AI-aided development OUR RECRUITMENT PROCESS: Initial Screening - a short introductory conversation with our Talent Acquisition Partner to discuss your background, experience, and expectations. Technical Task - a take‑home coding assignment designed to reflect real, day‑to‑day work. You can complete it at your convenience, and you are welcome to use AI tools as part of your approach—just be prepared to explain your reasoning and decisions. Technical Interview (120 minutes) - an in‑depth discussion of your submitted task, including a walkthrough of your solution, your thought process, live coding exercises, and a high‑level system design discussion. Cultural Fit Interview (45 minutes) - a conversation with Senior Management and the Product Manager to explore your collaboration style, ability to work in a matrix organization, and alignment with our ways of working. Finals Steps: Receive feedback and, if successful, an offer! OUR OFFER: A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding. Flexibility to manage your workday and tasks with autonomy. A balance of structure and autonomy to tackle your daily tasks. Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. Global Employee Assistance Programme. Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). Online training videos. Flexible working hours. Additional Information At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

🏢 Summary: Staff Data Scientist (Tech Lead) role focused on building and scaling real-time AI-driven decisioning systems to improve product conversion. The position combines hands-on machine learning leadership with technical ownership of production ML pipelines and experimentation strategy. You will drive advanced ML initiatives including recommendation systems, uplift modeling, and LLM-based personalization in low-latency environments. 🗂️ Requirements: 10+ years experience in Data Science with production ML systems, Expert-level Python and SQL, Strong experience with PySpark or Apache Spark, Experience building real-time ML systems with strict latency constraints, Proven experience with gradient boosting and recommendation systems, Strong background in A/B testing and causal inference, Experience building ML pipelines on AWS, Hands-on experience with LLMs including fine-tuning and evaluation, Experience with feature engineering and model monitoring in production 📃 Skills: Python, SQL, PySpark, Spark, NumPy, Pandas, Scikit-learn, XGBoost, LightGBM, AWS, Databricks, LLMs, NLP, Clustering, Uplift, Bandits, ABTesting, CausalInference 🏢 Description: We are looking for a Staff Data Scientist to join a Growth Alliance team at the Tech Lead level. This role goes beyond hands-on data science, it requires a candidate who can set technical direction, lead complex ML initiatives, and act as a strategic partner to business stakeholders. You will operate at the intersection of advanced machine learning, real-time systems, and product growth. About the Project: This is a Staff / Tech Lead position within a team driving AI-powered decisioning at scale. You will work on systems with strict real-time constraints (<40 ms latency) that directly impact end-user experience and conversion. The mission is to move the product toward AI-driven decisioning, targeting a measurable improvement in conversion (~5%). You will be expected to challenge assumptions, define the technical roadmap, and ensure that ML systems perform reliably in production. Responsibilities: Lead the design and implementation of production ML systems, including real-time decisioning and personalization engines; Drive adoption of contextual bandits, uplift modeling, and advanced recommendation frameworks; Define experimentation strategy including A/B testing, causal inference, and synthetic controls; Oversee feature engineering at scale and ensure robust model monitoring and validation practices; Act as a technical owner for decisioning platforms and Martech integrations; Collaborate with and influence senior business stakeholders to shape data science strategy; Guide and mentor other data scientists on the team; Lead GenAI and LLM-based initiatives including fine-tuning, evaluation, and content personalization. Qualifications: 10+ years of experience in Data Science, with a strong track record in production ML systems; Expert-level Python (NumPy, Pandas, Scikit-learn) and SQL; Deep experience with PySpark / Apache Spark for large-scale data processing; Mastery of gradient boosting methods (XGBoost, LightGBM), recommendation systems, NLP, clustering, and uplift modeling; Extensive experience with A/B testing, causal inference, statistical modeling, and synthetic controls; Proven ability to build and maintain production ML pipelines on cloud platforms (AWS preferred); Experience with decisioning platforms, personalization engines, and Martech integrations; Hands-on experience with LLMs, prompt engineering, evaluation, and fine-tuning; Strong stakeholder management skills with the ability to challenge assumptions and ask the right questions; 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: Development role focused on building high-performance, real-time sports data services using modern cloud-first and quality-driven engineering practices. The position involves working with React, Node.js, and TypeScript in an AWS and Kubernetes environment, applying ATDD/BDD methodologies and AI-assisted development tools. You will influence design and technology decisions while delivering scalable products for global sportsbook clients. 🗂️ Requirements: Proven hands-on experience with React, Proven hands-on experience with Node.js, Proven hands-on experience with TypeScript, Ability to write clean, well-tested code (XP, TDD), Experience with ATDD/BDD practices, Agile development mindset 📃 Skills: React, Node.js, TypeScript, AWS, Kubernetes, GitLab, Docker, TDD, BDD, ATDD, Microservices, AI, Copilot 🏢 Description: We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. Job Description Imagine being part of one of the most supportive communities you will encounter in your professional career. Imagine the company where ‘teamwork’ is not just a buzzword, but one of the core values of each employee. Imagine the place with huge emphasis on building our own services using quality‑focused engineering practices and cloud‑first principles. The place where you can become great at things you’re already good at — all that while maintaining work‑life balance. The Odds Product Division in Sportradar offers popular trading services used by over 200 organizations worldwide. Our team of experts manage betting probabilities using leading-edge mathematical models. Our clients can control their own sportsbooks in web interfaces, configuring everything from event and odds creation to market monitoring and result confirmation. At Sportradar, we are committed to building a diverse and inclusive culture and community. We partner with organizations and serve a customer base that is widely diverse. To best meet the needs of our partners and customers, we believe in ensuring our current and future employees feel empowered to bring forward their unique selves, opinions and viewpoints. Join our team and become a part of global, fast-growing success. THE CHALLENGE: Use ATDD/BDD techniques in your daily work. Use AWS, Kubernetes, and GitLab CI. Build high-performance services/products on top of our real-time sports data collected 24/7 globally for more than 30 different sports. Work in an engineering environment where AI-assisted development (GitHub Copilot, Cursor AI, etc.) is part of our everyday workflow . A real opportunity to influence design and technology choices. Take an active part in making the most out of our AWS partnership. Become a domain expert in the exciting world of real-time hi-tech sports data. YOUR PROFILE: You are a developer who likes solving challenging problems and being focused at work. Learning is a natural part of your workday. You enjoy collaborating with a diverse group of people; you are passionate about what you do, have a strong interest in keeping up with current best practices, and you see programming languages as tools rather than constraints. You’re curious about both technology and people — and you’re not afraid to step outside your comfort zone. Required: Passion for technology Proven, hands-on software development experience in React, Node.js, TypeScript Ability to write clean, well-crafted, and tested code (XP, TDD) Agile mindset (focus on delivering working software, collaboration, improvement) Shared values – relations, collaboration, trust Desirable: Experience with cloud-based applications and microservices (AWS) Automation testing on various levels (BDD, performance, contract testing) Understanding how code is shipped (Docker, Kubernetes) Interest or experience in AI technologies Experience or enthusiasm for integrating AI into development workflows or using AI to enhance product features OUR OFFER: A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding. Flexibility to manage your workday and tasks with autonomy. A balance of structure and autonomy to tackle your daily tasks. Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. Global Employee Assistance Programme. Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). Online training videos. Flexible working hours. OUR  RECRUITMENT  PROCESS: Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. Technical Assessment: A short (home) task to showcase your technical skills. Two Technical Interviews: Meet with the Technical team and later with the Hiring Manager to dive into your solution, as also discuss team fit. Onsite Interview (If not organized on prior interview stages): Meet with the local team and take a tour of our office for a final meet-and-greet. Finals Steps: Receive feedback and, if successful, an offer! Additional Information At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

🏢 Summary: Software Developer role in the Odds Product Division focused on building high-performance, cloud-first services for real-time sports data using quality-driven engineering practices. The position involves designing and developing scalable solutions on AWS with Kubernetes and CI pipelines, leveraging ATDD/BDD methodologies. You will contribute to innovative trading services used globally and influence architecture and technology decisions. 🗂️ Requirements: Proven hands-on software development experience in Java, Ability to write clean, tested code using TDD/XP practices, Experience with ATDD or BDD methodologies, Experience with AWS cloud services, Experience with Docker and Kubernetes, Experience with CI/CD pipelines, Understanding of microservices architecture, Agile development experience 📃 Skills: Java, AWS, Kubernetes, Docker, GitLab, CI/CD, TDD, BDD, ATDD, Microservices, PerformanceTesting, ContractTesting 🏢 Description: We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. Job Description Imagine being part of one of the most supportive communities you will encounter in your professional career. Imagine the company where ‘teamwork’ is not just a buzzword, but one of the core values of each employee. Imagine the place with huge emphasis on building own services using the quality-focused engineering practices and cloud-first principles. The place where you can become great at things you’re currently good at. All that while maintaining work‑life balance. The Odds Product Divison in Sportradar offers popular trading services, used by over 200 organizations worldwide. Our team of experts manage betting probabilities using our leading edge mathematical models. Our clients can control their own sportsbooks in web interfaces, configuring everything from event and odds creation to market monitoring and result confirmation. At Sportradar, we are committed to building a diverse and inclusive culture and community. We partner with organizations and serve a customer base that is widely diverse. To best meet the needs of our partners and customers, we believe in ensuring our current and future employees feel empowered to bring forward their unique selves, opinions and viewpoints. Join our team and become a part of the global, fast-growing success. THE CHALLENGE: Use ATDD/BDD techniques in your daily work. Use AWS, Kubernetes, and GitLab CI. Build high performance services/products on top of our real-time sports data collected 24/7 globally for more than 30 different sports. A real opportunity to influence the design and technology. Take an active part in making the most out of our AWS partnership. Become a domain expert in the exciting world of real-time hi-tech sports data. YOUR  PROFILE: You are a developer who likes solving challenging problems and being focused at work. Learning is a natural part of your workday. You enjoy collaborating with a diverse group of people, you are passionate about what you do, have a high interest in keeping up with current best practices in your areas of expertise and you look at programming languages as tools and not constraints. You are curious about both technology and people. You acknowledge that the most complex problems are really people based. Besides of all of that you’re not afraid to go out of your comfort zone. Required: Passion for technology Proven, hands-on software development experience (Java) Ability to write clean, well-crafted, and tested code (XP, TDD) Agile mindset (focus on delivering working software, collaboration, and improvement) Shared values – relations, collaboration, trust Desirable experience: Experience with cloud-based applications and microservices (AWS) Automation testing on various levels (BDD, Performance testing, Contract testing) Understanding how the code can be shipped (Docker, Kubernetes) Interest or experience in AI technologies Familiarity with integrating AI into scalable systems or using AI to enhance product features is a plus OUR OFFER: A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding. Flexibility to manage your workday and tasks with autonomy. A balance of structure and autonomy to tackle your daily tasks. Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. Global Employee Assistance Programme. Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). Online training videos. Flexible working hours. OUR  RECRUITMENT  PROCESS: Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. Technical Assessment: A short (home) task to showcase your technical skills. Two Technical Interviews: Meet with the Technical team and later with the Hiring Manager to dive into your solution, as also discuss team fit. Onsite Interview (If not organized on prior interview stages): Meet with the local team and take a tour of our office for a final meet-and-greet. Finals Steps: Receive feedback and, if successful, an offer! Sportradar is an Equal Opportunity Employer. We are committed to encourage diversity within our teams. All qualified applicants will receive consideration without regard to among other things, your background, status, or personal preferences Additional Information At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

🏢 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: 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: Senior Product-Minded QA Engineer role focused on owning the full quality lifecycle for a large-scale live sports data platform. The position emphasizes early involvement in requirements and design (Shift Left), building smart automation with modern tools, and ensuring high release quality through exploratory and automated testing. You will collaborate closely with Product Managers and Engineers to deliver reliable, scalable, and user-centric solutions. 🗂️ Requirements: 4+ years of QA experience in complex product teams, Experience leading quality strategy and test design, Strong expertise in UI test automation (Playwright or Cypress), Experience with API testing, Strong SQL knowledge, Experience integrating automated tests into CI/CD pipelines, Experience using AI tools (LLMs) for coding or testing support, Ability to define clear, testable user stories with Product Managers, Experience in exploratory and automated testing for complex workflows 📃 Skills: Playwright, Cypress, Postman, REST, SQL, GitHub, Jenkins, CI/CD, LLM, Automation, API 🏢 Description: Company Description We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. Job Description ABOUT US Join our team and become a part of the global fast-growing success of Sportradar. A technology first software development company with high emphasis on achieving technical excellence and building services on best practice cloud principles. We build our own product and believe in 'you build it, you own it', so we want to give our squads autonomy to choose the right solutions. We are NASDAQ-listed and are one of the fastest-growing sports-tech companies on the planet. Our vision is built on long-term relationships with all our partners including NBA, UEFA, ATP, MLB, NHL and many more. The Live Data Services team is the heart of our live data ecosystem, gathering all the events for more than 30 sports and providing them to our clients. You will be a key creator for the platform that drives the industry’s largest sports data coverage. Our system empowers a global network of data journalists ("scouts") to collect live statistics from stadiums worldwide. THE CHALLENGE: We are looking for a Product-Minded Senior QA Engineer. We need someone who looks beyond just "testing code" and takes ownership of the entire quality lifecycle. You will work side-by-side with Product Managers to refine requirements before development starts ("Shift Left"). You are also a creator who uses modern tools (AI, Copilot) to build smart automation, ensuring our platform is fast, reliable, and easy for our scouts to use. Key Responsibilities : Requirement Ownership: Collaborate with Product Managers and Engineers to turn business ideas into clear, testable user stories. You ensure the team knows exactly what to build to avoid logic gaps later. Shift Left: Get involved in the design phase. You challenge assumptions and identify risks early, preventing bugs before a single line of code is written. Smart Automation (Creator Mindset): Build tools, bots, and scripts that improve developer efficiency. Use AI to speed up test creation and data analysis. Testing Execution: Balance deep exploratory testing (finding complex logic issues) with robust automated checks (Playwright/Cypress) for critical workflows. Release Quality: Act as the gatekeeper for quality. You validate that new features meet both technical standards and user needs. Our Toolkit: Automation: Expert in modern UI frameworks (Playwright or Cypress preferred). API & Data: Strong experience with API testing (Postman, REST Assured) and SQL. Modern Tech: Experience using AI tools (LLMs) to assist with coding and testing. CI/CD: Comfortable integrating tests into pipelines (GitHub Actions, Jenkins). ABOUT YOU: 4+ Years Experience: Proven history of leading quality strategy in complex product teams. Product Mindset: You care about the user experience and business logic, not just passing test cases. Proactive: You don’t wait for detailed instructions; you ask questions and define the path forward. Clear Communicator: You can explain technical risks simply to non-technical team members. OUR OFFER: The opportunity to work and develop within an inspiring and fast-growing company. Flat organization with high degree of individual responsibility A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and the US) Very good social and physical working environment A company culture that promotes social aspects, sports, physical exercise, and fun. Competitive salary and benefits Hybrid work model OUR RECRUITMENT PROCESS: Initial Screening : A brief conversation with our Talent Acquisition Partner to review your background, experience, and expectations Product Interview: A 60-minute interview to discuss your understanding of user needs, business goals, and real-world product impact beyond just finding bugs Technical Interview : An in-depth technical discussion covering QA fundamentals, test design and strategy, automation concepts, and problem-solving approaches, with scenario-based questions and hands-on exercises. Cultural Fit Interview (30 minutes) : A conversation with Senior Management to assess your ability to work in a matrix organization and collaborate with stakeholders We keep it simple and aim to wrap up the process within 3 weeks. Additional Information At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

🏢 Summary: Technical Researcher/Engineer role focused on researching, prototyping, and evaluating new ad tech solutions within a high-scale real-time bidding system. The position combines programming, data analysis, and experimentation to optimize bidding efficiency and improve large-scale ML-driven platforms. Work directly impacts production systems handling millions of queries per second. 🗂️ Requirements: 3+ years experience as researcher or engineer, Proficiency in programming, Strong analytical and data interpretation skills, Experience with large-scale or complex systems, Ability to build Proof of Concepts (PoCs), Experience working with real-time or distributed systems, Effective technical communication skills 📃 Skills: Python, Java, TypeScript, JavaScript, NumPy, Pandas, Jupyter, BigQuery, GCP, MachineLearning, DeepLearning, RTB, SQL 🏢 Description: As a Technical Researcher / Engineer within the Bidding Efficiency workflow, you'll play a pivotal role in exploring and understanding the latest technologies in the ad tech domain. You'll be responsible for conducting in-depth research, experimenting with new technologies, and collaborating with cross-functional teams to improve their efficacy in our systems. Your role will involve a blend of programming, research, and analytical skills to evaluate the effectiveness and feasibility of various ad tech solutions. The following skills will be crucial: Strong technical proficiency : Programming skills and the ability to understand large and complex systems and architectures. Strong desire for learning and knowledge acquisition : Openness to continuous learning and expanding skills in the ad tech domain. Independence : Ability to make decisions and take action without excessive supervision while maintaining a high standard of work. Goal-oriented mindset : Focus on achieving specific project goals and the ability to adapt in a dynamic work environment. Teamwork : Ability to effectively collaborate with team members and other teams, both internally and externally. Good communication : Ability to clearly convey knowledge and information internally between teams and in cooperation with external organizations (major browser vendors, standardization forums like W3C, GitHub discussions). Openness and willingness to experiment: Readiness to take on new challenges, explore new technologies, and seek innovative solutions. Proactive attitude : Initiative in proposing ideas and actively seeking ways to improve existing processes and solutions. Ability to build Proof of Concepts (PoCs) : Capability to create prototypes and experimental solutions to evaluate their effectiveness and utility in practice. You will work with following tech stack: Python, Java, TypeScript/JavaScript NumPy, Pandas Jupyter Notebooks BigQuery, GCP Properietary Realtime Bidding platform Agentic AI assistants and tools of your choice Must have 3+ years of experience as researcher or engineer. Proficiency in programming. Strong analytical skills and the ability to interpret data to derive meaningful insights. Good communication skills to effectively collaborate with team members and stakeholders Example projects and technologies RTB House is a performance oriented company, and our technology is our main strength. We work with more than 2000 clients across EMEA, APAC, and the Americas. Our highly optimized system serves nearly 20 million queries per second. We evaluate multiple models during a request, including deep neural nets - Machine Learning is at the very heart of our operation. We are constantly improving and extending our platform. Example projects include: Exploring the unrealised potential of various nooks and crannies inside the Realtime Bidding ecosystem, including but not limited to finding bidding inefficiencies on protocol or integration level. Work requires both in-depth inquisitive approach as well as methodical research but is potentially very rewarding - what you find and improve will immediately impact the bottom line Contest the status quo. The platform is mature and highly efficient but a complex system is never fully optimized. Help research and understand the equilibrium, design a test suite that will find the good-enough configuration balancing complexity and efficiency Many more, plus anything you can come up with! What we offer Compensation : an attractive salary and career growth opportunities Technology: access to the latest technologies and real opportunity to use of them in a large-scale and highly dynamic projects; working on extensive and rich datasets Impact: your work will be immediately impacting the company's business results and outcomes globally as well as mentor less experienced colleagues in the team Wellbeing : extremely flexible working conditions - you work when it is convenient for you and devote as much time as you can; you can work fully remotely Culture : work in a team of enthusiasts with wide experience in ML who willingly share their knowledge and learnings on a daily basis, no BS environment Purpose-Driven Work : being at heart of the system, your growing knowledge and competences will be used in practical applications directly connected to business results

🏢 Summary: Technical Researcher / Engineer role focused on researching, prototyping, and optimizing solutions within a large-scale Real-Time Bidding (RTB) and ad tech ecosystem. The position combines programming, data analysis, and experimentation to evaluate and improve bidding efficiency and system performance. Work involves building Proof of Concepts and leveraging ML-driven systems in a high-throughput production environment. 🗂️ Requirements: 3+ years experience as researcher or engineer, Proficiency in programming, Strong understanding of large-scale systems and architectures, Strong analytical skills and data interpretation ability, Ability to build Proof of Concepts (PoCs), Experience working with machine learning-driven systems, Ability to collaborate in cross-functional technical teams, Good technical communication skills 📃 Skills: Python, Java, TypeScript, JavaScript, NumPy, Pandas, Jupyter, BigQuery, GCP, RTB, MachineLearning, DeepLearning, SQL 🏢 Description: As a Technical Researcher / Engineer within the Bidding Efficiency workflow, you'll play a pivotal role in exploring and understanding the latest technologies in the ad tech domain. You'll be responsible for conducting in-depth research, experimenting with new technologies, and collaborating with cross-functional teams to improve their efficacy in our systems. Your role will involve a blend of programming, research, and analytical skills to evaluate the effectiveness and feasibility of various ad tech solutions. The following skills will be crucial: Strong technical proficiency : Programming skills and the ability to understand large and complex systems and architectures. Strong desire for learning and knowledge acquisition : Openness to continuous learning and expanding skills in the ad tech domain. Independence : Ability to make decisions and take action without excessive supervision while maintaining a high standard of work. Goal-oriented mindset : Focus on achieving specific project goals and the ability to adapt in a dynamic work environment. Teamwork : Ability to effectively collaborate with team members and other teams, both internally and externally. Good communication : Ability to clearly convey knowledge and information internally between teams and in cooperation with external organizations (major browser vendors, standardization forums like W3C, GitHub discussions). Openness and willingness to experiment: Readiness to take on new challenges, explore new technologies, and seek innovative solutions. Proactive attitude : Initiative in proposing ideas and actively seeking ways to improve existing processes and solutions. Ability to build Proof of Concepts (PoCs) : Capability to create prototypes and experimental solutions to evaluate their effectiveness and utility in practice. You will work with following tech stack: Python, Java, TypeScript/JavaScript NumPy, Pandas Jupyter Notebooks BigQuery, GCP Properietary Realtime Bidding platform Agentic AI assistants and tools of your choice Must have 3+ years of experience as researcher or engineer. Proficiency in programming. Strong analytical skills and the ability to interpret data to derive meaningful insights. Good communication skills to effectively collaborate with team members and stakeholders Example projects and technologies RTB House is a performance oriented company, and our technology is our main strength. We work with more than 2000 clients across EMEA, APAC, and the Americas. Our highly optimized system serves nearly 20 million queries per second. We evaluate multiple models during a request, including deep neural nets - Machine Learning is at the very heart of our operation. We are constantly improving and extending our platform. Example projects include: Exploring the unrealised potential of various nooks and crannies inside the Realtime Bidding ecosystem, including but not limited to finding bidding inefficiencies on protocol or integration level. Work requires both in-depth inquisitive approach as well as methodical research but is potentially very rewarding - what you find and improve will immediately impact the bottom line Contest the status quo. The platform is mature and highly efficient but a complex system is never fully optimized. Help research and understand the equilibrium, design a test suite that will find the good-enough configuration balancing complexity and efficiency Many more, plus anything you can come up with! What we offer Compensation : an attractive salary and career growth opportunities Technology: access to the latest technologies and real opportunity to use of them in a large-scale and highly dynamic projects; working on extensive and rich datasets Impact: your work will be immediately impacting the company's business results and outcomes globally as well as mentor less experienced colleagues in the team Wellbeing : extremely flexible working conditions - you work when it is convenient for you and devote as much time as you can; you can work fully remotely Culture : work in a team of enthusiasts with wide experience in ML who willingly share their knowledge and learnings on a daily basis, no BS environment Purpose-Driven Work : being at heart of the system, your growing knowledge and competences will be used in practical applications directly connected to business results

🏢 Summary: Technical Researcher / Engineer role focused on exploring, evaluating, and improving ad tech solutions within a large-scale Real-Time Bidding platform. The position combines research, programming, and data analysis to build Proof of Concepts and optimize system efficiency in a high-performance, ML-driven environment. Work directly impacts business results through experimentation and technological innovation. 🗂️ Requirements: 3+ years experience as researcher or engineer, Proficiency in programming, Strong analytical skills and data interpretation, Ability to build Proof of Concepts (PoCs), Experience working with large and complex systems, Good technical communication skills 📃 Skills: Python, Java, TypeScript, JavaScript, NumPy, Pandas, Jupyter, BigQuery, GCP, RTB, MachineLearning, DeepLearning, SQL 🏢 Description: As a Technical Researcher / Engineer within the Bidding Efficiency workflow, you'll play a pivotal role in exploring and understanding the latest technologies in the ad tech domain. You'll be responsible for conducting in-depth research, experimenting with new technologies, and collaborating with cross-functional teams to improve their efficacy in our systems. Your role will involve a blend of programming, research, and analytical skills to evaluate the effectiveness and feasibility of various ad tech solutions. The following skills will be crucial: Strong technical proficiency : Programming skills and the ability to understand large and complex systems and architectures. Strong desire for learning and knowledge acquisition : Openness to continuous learning and expanding skills in the ad tech domain. Independence : Ability to make decisions and take action without excessive supervision while maintaining a high standard of work. Goal-oriented mindset : Focus on achieving specific project goals and the ability to adapt in a dynamic work environment. Teamwork : Ability to effectively collaborate with team members and other teams, both internally and externally. Good communication : Ability to clearly convey knowledge and information internally between teams and in cooperation with external organizations (major browser vendors, standardization forums like W3C, GitHub discussions). Openness and willingness to experiment: Readiness to take on new challenges, explore new technologies, and seek innovative solutions. Proactive attitude : Initiative in proposing ideas and actively seeking ways to improve existing processes and solutions. Ability to build Proof of Concepts (PoCs) : Capability to create prototypes and experimental solutions to evaluate their effectiveness and utility in practice. You will work with following tech stack: Python, Java, TypeScript/JavaScript NumPy, Pandas Jupyter Notebooks BigQuery, GCP Properietary Realtime Bidding platform Agentic AI assistants and tools of your choice Must have 3+ years of experience as researcher or engineer. Proficiency in programming. Strong analytical skills and the ability to interpret data to derive meaningful insights. Good communication skills to effectively collaborate with team members and stakeholders Example projects and technologies RTB House is a performance oriented company, and our technology is our main strength. We work with more than 2000 clients across EMEA, APAC, and the Americas. Our highly optimized system serves nearly 20 million queries per second. We evaluate multiple models during a request, including deep neural nets - Machine Learning is at the very heart of our operation. We are constantly improving and extending our platform. Example projects include: Exploring the unrealised potential of various nooks and crannies inside the Realtime Bidding ecosystem, including but not limited to finding bidding inefficiencies on protocol or integration level. Work requires both in-depth inquisitive approach as well as methodical research but is potentially very rewarding - what you find and improve will immediately impact the bottom line Contest the status quo. The platform is mature and highly efficient but a complex system is never fully optimized. Help research and understand the equilibrium, design a test suite that will find the good-enough configuration balancing complexity and efficiency Many more, plus anything you can come up with! What we offer Compensation : an attractive salary and career growth opportunities Technology: access to the latest technologies and real opportunity to use of them in a large-scale and highly dynamic projects; working on extensive and rich datasets Impact: your work will be immediately impacting the company's business results and outcomes globally as well as mentor less experienced colleagues in the team Wellbeing : extremely flexible working conditions - you work when it is convenient for you and devote as much time as you can; you can work fully remotely Culture : work in a team of enthusiasts with wide experience in ML who willingly share their knowledge and learnings on a daily basis, no BS environment Purpose-Driven Work : being at heart of the system, your growing knowledge and competences will be used in practical applications directly connected to business results