Senior Data Scientist, Analytics

About the role

We are looking for an experienced Data Scientist that can immediately contribute to our analytical expertise and is passionate about helping people be their best selves. You will be working closely with our product, care, customer success and machine learning teams in particular. Key responsibilities will include building data models that provide relevant and intuitive analytics to both internal and external stakeholders.

Responsibilities

• Turn lead into gold. Our AI engine outputs a range of “features” that give insight into the kinds of challenges, opportunities and progress members describe in life. We’re just starting to reveal patterns at the population level that are implicit in this data and you will accelerate this. 

• Partner with organizations in Ginger to understand analytical needs, consult with your technical knowledge, build data models, and present analysis insights. Examples include:

  • Address care-related quality assurance, measure treatment effectiveness, assessing operational efficiency, forecasting both supply and demand.

  • Work with product teams to understand product engagement, feature use patterns, etc.

• Team up with machine learning engineers to evaluate and monitor machine learning model outputs in both development and production environments, providing quantitative recommendations to this team based on your insights.

• Develop expertise on mental healthcare data sets and lead their modeling to enable insights.

• Design experiments and determine appropriate statistical approaches to answer specific data science, product, clinical care or business questions.

• Boost the team's analytical sophistication by prototyping new tooling (e.g. Looker connects with Python) that unlock new classes or insights from varied data sources.

• Foster a culture of broad access to data and autonomy in obtaining answers by implementing dashboards and other tools that help your data customers extract, analyze, and visualize data easier and faster.

• Use appropriate tools (e.g. Python, R) to analyze and visualize data.

• Maintain and add to existing analytics infrastructure (Looker).

Applicable Skills

• MS with 3+ years of experience (or BS with 5+ years of experience) in statistics, data science or appropriate quantitative fields.

• Experience in querying large and complex SQL databases and doing ETL across systems and databases (Plus: Redshift, Spark/Hadoop, AWS).

• Experience in analyzing data statistically using Python.

• Strongly prefer someone with industry experience working with machine learning and data engineering teams, product teams, consumer marketing, or customer facing teams.

• Experience preparing, modeling, and transforming business data to better understand the needs and performance of the company.

• Experience with building visualizations, trend analysis, forecasts, statistical testing, and data-storytelling.

• Development experience in business intelligence, data warehouses, and related technologies (Plus: Looker).

• Strong communication skills and business acumen - translate key metrics into the language of stakeholders , and contextualize results within the data customer’s domain.