Principal Data Scientist - Machine Learning (8-15 yrs)

Company Overview :

Blink Health is the fastest growing healthcare technology company that builds products to make prescriptions accessible and affordable to everybody. Our two primary products - BlinkRx and Quick Save - remove traditional roadblocks within the current prescription supply chain, resulting in better access to critical medications and improved health outcomes for patients.

BlinkRx is the world's first pharma-to-patient cloud that offers a digital concierge service for patients who are prescribed branded medications. Patients benefit from transparent low prices, free home delivery, and world-class support on this first-of-its-kind centralized platform. With BlinkRx, never again will a patient show up at the pharmacy only to discover that they can't afford their medication, their doctor needs to fill out a form for them, or the pharmacy doesn't have the medication in stock.

We are a highly collaborative team of builders and operators who invent new ways of working in an industry that historically has resisted innovation. Join us!

Blink Health is fixing how broken, opaque, and unfair healthcare is. We're a well-funded healthcare technology company on a mission. We're changing healthcare through technology and transparency. With our proprietary technology, everyone now has access to the lowest prices on over 15,000 medications. But there is more work to do.

We are a continuously learning, curious, collaborative team dedicated to inventing new ways of working in an industry that historically has resisted innovation. We're assembling the experienced and talented team to get this done.

About the role :

Blink is seeking an experienced and energetic Principal Data Scientist to join our Data Science Team. This is a small and growing team of versatile analysts positioned at the center of everything at Blink Health.

The Data Science and Monetization team is responsible for tackling some of the company's most difficult problems and distilling its large volumes of data into relevant, actionable knowledge. Candidates must have a strong foundation of technical and quantitative skills and be focused on how insights can impact business results. While analytic rigor is a must, this is an applied research function where impact matters more than techniques utilized. Areas of focus range from business intelligence, predictive modeling, product testing, pricing strategy, financial modeling, self-service reporting automation, data architecture development, and marketing decision support.

Opportunities for cross-functional projects are plentiful for Analytics team members. The team regularly collaborates with the Product, Marketing, Data Engineering, and Strategy teams.

What You'll Do :

- Partner with cross-functional teams to help improve decision making with data, including helping build a culture of data driven decision making.

- Define, measure, and analyze business metrics and product KPIs

- Design and built ML algorithms for text and image processing

- Formulate objective functions and write new/ use existing algorithms to optimize

- Conduct exploratory analysis to inform product strategy and evaluate recently released or existing products or features

- Produce work that aids the decision-making process of the executive team

What You'll Need :

- A bias for action in applying analytics to solve problems and a focus on identifying efficient solutions to complex issues.

- Enjoy developing and defending an evidence-based point-of-view

- A strong command of SQL and relational databases

- Comfort with large, disparate datasets

- Experience in Looker, Tableau or other similar BI tools

- Clear communication skills to a wide and diverse audience, including Digital Marketers, Product Managers, a Financial Strategist, and a Data Engineer

- An ability to prioritize disparate requests and communicate timelines and statuses to a broad audience

- A growth mindset and deep intellectual curiosity

- At least 8 years of professional experience with reporting responsibilities

- An educated grasp of eCommerce and digital marketing

Extras :

- Functional programming experience in Python, R, or another language

- Social science research experience

- Financial reporting and/or pricing strategy experience