Data Scientist

Job not on LinkedIn

October 10

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Bask Health

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Healthcare Insurance • SaaS • eCommerce

Bask Health is a robust platform providing a comprehensive suite of customizable telehealth solutions. It offers tools such as a questionnaire builder, patient portals, and pharmacy fulfillment services, all secured with strong encryption and HIPAA-compliance. Bask Health seamlessly integrates telehealth and e-commerce, enabling streamlined patient care from consultation to delivery. The platform supports entrepreneurs, doctors, and developers by offering scalable no-code solutions that enhance user experience and business growth. With its nationwide pharmacy network, Bask Health empowers businesses to efficiently manage prescriptions, patient data, and order fulfillment across the entire digital health landscape.

11 - 50 employees

⚕️ Healthcare Insurance

☁️ SaaS

🛍️ eCommerce

💰 Pre Seed Round on 2022-05

📋 Description

• Product Data Scientist at Bask Health, uncovering key insights, shaping product development, and influencing decision-making. • Work cross-functionally to guide product development and ensure solutions deliver real-world impact. • Utilize cutting-edge techniques like regression analysis, segmentation, and A/B testing to inform product optimization and continuous improvement. • Play a pivotal role in shaping innovative solutions that transform telehealth and empower patients.

🎯 Requirements

• Bachelor’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related field. • 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. • Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis. • Strong experience with data visualization tools (e.g., Tableau, Looker, or similar). • Proficiency in statistical techniques such as regression analysis, hypothesis testing, clustering, and segmentation. • Experience with A/B testing and designing experiments. • Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Google Cloud) is a bonus. • Ability to extract actionable insights from complex datasets. • Strong problem-solving skills and a keen sense of curiosity. • 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.