Gesundheitswesen jobs in Germany

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Your mission with us

Are you passionate about turning data into actionable insights and building the infrastructure to support rapid experimentation?
At Sidekick Health, you will thrive in a fast-paced, collaborative environment within our Commercial Tech team, focused on acquiring users and scaling our digital health products. We are looking for a hands-on Growth Data Scientist (f/m/d) who thrives in multidisciplinary teams and enjoys wearing many hats. In this role, you'll work closely with developers, product managers, and marketers to uncover insights, build scoring models, optimize experiments, and ensure the data flows seamlessly across our systems.

What you can expect from us

• Design, build, and continuously improve lead scoring models to help us identify and prioritize the most promising users.
• Set up and evaluate A/B tests and experiments to help the team learn quickly and make data-informed growth decisions.
• Improve tracking and attribution, ensuring that campaign performance is correctly measured across the funnel - from click to conversion.
• Build and maintain dashboards that provide real-time visibility into performance, funnel conversion rates, and experiment outcomes.
• Develop and maintain robust data pipelines to send conversion and attribution signals to advertising platforms (e.g., Meta, Google), enabling performance optimization and remarketing.
• Collaborate with backend and frontend developers to build analytics infrastructure and ensure clean, reliable tracking across our systems.
• Review queries and scripts from teammates and provide feedback to ensure data quality and performance.
• Participate in team rituals and discovery processes, helping shape how we define and measure success in our user acquisition funnels.

• Proven experience working in growth, marketing analytics, or data science roles, ideally in high-velocity, cross-functional teams.
• Mastery of SQL - you're confident writing advanced queries, debugging issues, and improving performance.
• Proficient in Python, especially for data analysis, statistical modeling, and pipeline automation.
• Experience designing and validating lead scoring or predictive models that drive business decisions.
• Deep understanding of A/B testing frameworks and experimental design, including statistical significance and confidence intervals.
• Familiarity with marketing data flows, including attribution models, campaign tracking, and event-based analytics.
• Experience working with cloud data warehouses like BigQuery, Snowflake, or Redshift.
• Excellent communication and collaboration skills - you enjoy working alongside developers, marketers, and product people.
• Fluent in English; German is a plus.

• Experience setting up or reviewing frontend tracking and instrumentation.
• Exposure to ad tech ecosystems, including sending events to platforms like Meta or Google Ads.
• Familiarity with tools like Matomo, Google Analytics, Amplitude,orBraze.
• Experience contributing to and reviewing code in Git-based workflows.

• Mission-driven work: Join an international team shaping the future of healthcare and improving the lives of patients across the globe.
• Cross-functional collaboration: Be part of an agile, product-led team with flat hierarchies, autonomy, and a high sense of ownership.
• Personal development: Benefit from our feedback-driven culture and tailored learning opportunities to support your growth.
• Attractive compensation & tools: Competitive salary, MacBook, ergonomic workstation, and flexible working hours with full remote options.
• Health & mobility perks: Subsidized Wellpass/Urban Sports Club, Deutschland-Ticket, and a company pension scheme.
• Culture & community:A welcoming office in Hamburg with regular team events, sports initiatives, and a work culture that puts people first.