LEAD DATA SCIENTIST

$200,000 - $215,000 BASE + BONUS & EQUITY

SAN FRANCISCO BAY AREA I HYBRID

An exciting opportunity to join a life sciences company improving the lives of patients with their proven-effective CPG products. Work with the team to establish, measure, & optimize marketing effectiveness with the goal of establishing best practices and direction for the organization.

THE COMPANY

With a strong product market fit and lots of data, the exec team recognizes the importance of data across the organization. The company takes an analytics-oriented data science approach to marketing. This role will utilize predictive modeling and strategic business mindset to move the company from a description data-driven organization to a forward-thinking organization.

THE ROLE

As Lead Data Scientist, you'll take on a strategic & execution-focused role alongside the leadership team, working hand in hand with the VP of Data, AI, & ML. You can expect to be doing the following...

• End-to-end predictive modeling in Python; model building, putting into production, and deriving insights around supply & demand, channel marketing effectiveness, LTV, etc.
• Hands-on keys work pulling & analyzing data; ETL work, Tableau dashboarding to track KPIs, tinkering in Jupyter Notebook
• Marketing focused partnerships; leveraging channel analytics, retention modes, & segmentation driven definition with CAC, LTV, & retention in mind
• Empowering a forward-thinking data org; utilizing the existing infrastructure and building upon it to drive revenue
• Business mindset; how the data & data outcomes relate to the business and have opportunities for optimization
• Cross-functional teamwork & project management; working with technical and non-technical stakeholders

YOUR SKILLS & EXPERIENCES

• 5+ years of experience in an equally technical execution & strategy heavy role, marketing analytics/marketing data science experience required
• Bachelors Degree in a technical field (Computer Science, Statistics, Economics, etc.), a must
• Consumer-facing experience, CPG life sciences experience & experience in subscription a plus
• Expertise in Python, model development, Tableau/Looker/Power BI, experience in a cloud tool a plus
• Ability to work autonomously with confidence, comfortable working in an ambiguous environment
• Startup experience
• Confidence working with technical & non-technical teams, including high-level stakeholders