LEAD DATA SCIENTIST - Marketing Analytics

SAN FRANCISCO BAY AREA (1-2 days Onsite)

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

THE COMPANY:

This wellness company focuses on developing supplements and probiotics aimed at enhancing gut health, improving digestion, and supporting metabolic balance. Leveraging scientific research and personalized data insights, the company tailors its formulations to meet individual health needs.

THE ROLE:

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. 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:

• Lead end-to-end predictive modeling using Python, including building models, deploying them into production, and generating insights related to supply and demand, channel marketing effectiveness, lifetime value (LTV), and more.
• Hands-on data work including ETL processes, building Tableau dashboards to monitor KPIs, and experimenting with Jupyter Notebooks for in-depth analysis.
• Drive marketing initiatives by leveraging channel analytics, defining retention strategies, and applying segmentation techniques to optimize metrics such as CAC, LTV, and retention.
• Strengthen a forward-thinking data organization by utilizing existing infrastructure and expanding upon it to drive revenue and business growth.
• Align data-driven outcomes with business goals, identifying opportunities for optimization and increased efficiency.
• Collaborate cross-functionally, managing projects and working closely with both technical and non-technical stakeholders to ensure data initiatives align with broader business objectives.

YOUR SKILLS AND EXPERIENCE:

• Strong proficiency in Python & A visualization tool (Tableau, Powerbi, Looker, etc)
• 5+ YOE in in Data Science, Marketing Analytics, or Advanced/Statistical Modeling
• Bachelor's degree (technical or STEM)
• Experience working with a modern data stack (ex: Snowflake, Fivetran, dbt, airflow, etc)
• Exposure to cloud tools (GCP, AWS, Azure, etc)
• Ability to build, deploy, and manage data models in production environments
• Consumer-facing experience or background in consumer-driven industry
• Marketing Analytics Experience - ie channel performance, customer segmentation, CAC, LTV, retention
• Proven experience working autonomously and spearheading projects with minimal oversight

MUST BE AUTHORIZED TO WORK IN THE US