Über
At Bask Health, Product Data Scientists are at the heart of our mission to revolutionize healthcare. They uncover key insights, shape product development, and influence a culture of data-informed (not data-driven) decision-making. By working cross-functionally, our data scientists help guide what we build and how we build it, ensuring our solutions deliver real-world impact. Why You’ll Love Working at Bask Health
Discover actionable insights Seek objective truths through analysis, challenging assumptions, and uncovering the stories hidden in the data to guide decision-making. Drive meaningful change Apply your analytical, statistical, and technical expertise to generate insights that directly influence our product decisions and business strategy. Work with advanced tools Utilize cutting-edge techniques like regression analysis, segmentation, and A/B testing to inform product optimization and continuous improvement. Join us and play a pivotal role in shaping innovative solutions that transform telehealth, empower patients, and redefine the future of healthcare. Requirements Educational Background
Bachelor’s degree
in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field. Advanced degrees (e.g., Master’s or PhD) in relevant disciplines are a plus. Experience
3+ years
of experience in data analysis, data science, or a related field, with a proven track record of influencing product decisions through data insights. Experience working with cross-functional teams, including product managers, engineers, and designers. Experience in healthcare, telehealth, or related industries is highly desirable but not mandatory. Technical Skills
Experts
in programming languages such as Python & SQL for data manipulation and analysis. Strong experience with data visualization tools (e.g., Tableau, Looker, or similar). Experience with Alteryx (1+ Year) Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation. Experience with A/B testing and designing experiments. Familiarity with data tools (e.g., Segment, Snowflake), ETL tooling and cloud platforms (e.g., AWS, Google Cloud) is a bonus. Analytical Skills
Ability to extract actionable insights from complex datasets. Strong problem-solving skills and a keen sense of curiosity. Experience applying machine learning techniques is a plus. Soft Skills
Excellent communication skills, with the ability to translate complex data into understandable insights for non-technical stakeholders. Strong project management skills, with the ability to prioritize tasks and meet deadlines. Collaborative and proactive mindset.
Wünschenswerte Fähigkeiten
- A/B Testing
- Alteryx
- Hypothesis Testing
- Looker
- Python
- SQL
- Segmentation
- Tableau
Berufserfahrung
- Data Scientist
Sprachkenntnisse
- English
Hinweis für Nutzer
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