• Lead complex analytic initiatives that evaluate clinical programs and solutions, delivering clear proof of value in cost, quality, and outcomes • Design and execute rigorous evaluation approaches, including systematic literature review, meta-analysis, matched case-control studies and experimental or quasi-experimental designs • Develop and apply statistical and predictive models to stratify risk, assess behavior change, and identify improvement opportunities • Translate large-scale healthcare data into actionable insights and recommendations for business and clinical leaders • Partner with stakeholders across clinical, operations, product, pharmacy, and behavioral health teams to shape analytic strategy and testing plans • Communicate results clearly to non-technical audiences, influencing decisions through compelling data storytelling • Uphold analytic standards, methods, and rigor to ensure results can be confidently used to drive material improvements

• You will work daily with cross-functional teammates to translate user requirements, wireframes, and feature specifications into data science solutions that support mission needs. • You will develop, test, and refine analytic models and workflows, contribute to automated and end-to-end testing, and help estimate the level of effort for new enhancements or requirements. • You will also serve as a technical mentor to other team members and engage with mission partners as needed to ensure solutions are practical, effective, and aligned to operational objectives.

• Drive the mission forward. • Own the science: design and lead experimentation programs including A/B tests, multi-armed bandits, causal inference studies, that directly map to product and go-to-market decisions. • Build predictive models that matter: develop and deploy models for forecasting, segmentation, propensity scoring, and opportunity sizing across Cohere's core business lines. • Lead and grow a team: manage a team of analysts and data scientists. Set the technical bar, mentor aggressively, and create an environment where exceptional people do their best work. • Act like an owner: no waiting around. You'll define analytical priorities, allocate resources, and push initiatives from question to production. • Shape strategy: partner across product, research, sales, and finance to define how Cohere grows. Your team's work will get built into products and implemented into strategy.

Company Description About Redcare Pharmacy: As Europe's leading online pharmacy, Redcare Pharmacy is driven by our dedicated teams and the latest innovations. We strive to create a pleasant and collaborative working environment in which every employee feels comfortable and is happy to contribute to our vision: "Until every human has their health". If you are looking for a meaningful career that matches your values, join our team and start your #Redcareer today. About the role As a Senior Data Scientist, you will play a key role in building production-grade data science and machine learning solutions that directly influence critical business decisions and customer experiences. You will work on one of our high-impact products, partnering closely with product, engineering, and business teams. Rather than focusing on isolated analyses, you will be involved in products end to end — from problem framing and data quality to modeling, deployment, and ongoing monitoring in production. This role is designed for a strong generalist who enjoys working across domains, applying solid statistical and machine-learning foundations to real-world problems, and turning ideas into reliable systems. Job Description About your tasks - Work in a product with colleagues from our Data & AI department and collaborate closely with product managers, engineers, and domain experts to translate business problems into data-driven solutions. - Design, build, and operate end-to-end data science and machine learning solutions, from initial problem definition to production and iteration. - Work hands-on with complex, real-world datasets, addressing challenges such as data quality, missing data, bias, and changing data distributions. - Develop, evaluate, and improve statistical and machine-learning models, making well-reasoned trade-offs between model complexity, performance, scalability, and maintainability. - Design and analyze A/B tests and experiments, including hypothesis definition, metric selection, statistical evaluation, and interpretation of results. - Define and implement robust evaluation frameworks, including appropriate baselines, metrics, and validation strategies. - Support bringing models into production using our cloud-based stack and ensuring they are reliable, monitorable, and maintainable over time. - Communicate results, assumptions, and uncertainty clearly, enabling informed decision-making rather than black-box outputs. - Support the team by sharing knowledge, setting best practices, and acting as a technical sparring partner for other data scientists. Qualifications About you - You have several years of hands-on experience as a Data Scientist, working on machine learning or advanced analytical problems in production. - You have a strong foundation in statistics and machine learning and can apply it pragmatically to real-world problems. - You understand how to combine offline model evaluation with online experimentation to assess real-world impact. - You enjoy working close to the business and can explain complex topics clearly to non-technical stakeholders. - You take ownership, work proactively, and are comfortable navigating ambiguity. - You are curious and eager to learn, but also careful and conscientious in how you work. - You value collaboration, give and receive feedback openly, and enjoy helping others grow. Additional Information About your benefits: In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits: - Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers. - Mental Health: Get quick and professional help from psychologists of Likeminded if you feel overwhelmed in private or professional life. Anonymous and free of charge. - Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. - Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. Click here to learn more. - Personal development: Grow! We support and encourage your individual development through various in- and external trainings. - And many more :) - Remote Type: Tech, Product, IT & Data