Lead Data Scientist
San Francisco, CA
Applications have closed
Pendulum
Improve glucose control, metabolic health, gut function, and support a healthy weight. The only brand with live Akkermansia. Pendulum Metabolic Daily | Optimizes metabolism Pendulum Akkermansia | For gut health Pendulum Glucose Control | For...Pendulum has created proprietary pipelines to build a unique discovery platform that identifies key, novel bacterial strains and the prebiotics that feed them.
We are a highly collaborative team of scientists, engineers, physicians, marketers and salespeople interested in improving human health by using the latest research from diverse fields, such as microbiology, molecular biology, high-throughput genomics, distributed computing, pharmaceutical development and nutrition. We believe strongly in an individual’s transparency and strong communication to enable the most effective and efficient path to team success.
If you’re interested in building a new category of products that will help improve the lives of people globally and you love working in a cross-functional, collaborative, inspiring environment, please continue reading!
We are seeking an individual with a proven track record working with commercial teams to develop, communicate and maintain metrics, dashboards and predictive models to achieve key business objectives. The ideal candidate will enjoy explaining complex data and analytics concepts and tradeoffs to technical and non-technical audiences. As a technical leader, ideal candidates will define and communicate standards across the organization, work with engineering teams to align activities with business goals and mentor data scientists and analysts across the organization.
Responsibilities
- Partner with commercial teams to develop and define metrics and visualizations that guide data-driven decisions
- Partner with engineering and technical teams to prioritize data engineering efforts and standards
- Work with data engineering team to define, implement and organize user-facing analytics tools, e.g., dashboards, metrics and predictive models
- Guide A/B testing experimental design, analysis and interpretation
- Design, implement and apply appropriate analytics techniques using R or Python
- Define analytics best practices, visualization guides, standards and mentor analysts and data scientists across the organization
- Provide leadership to identify and define KPIs and metrics that need to be used for tracking execution strategy
- Work with business teams to show why certain metrics should or should not be used based on data driven insights
- Summarize and highlight key data-driven insights to executive team to inform key decisions and drive improved outcomes
- Review work and provide valuable feedback on analyses produced by analysts, data scientists and engineers
Requirements
- Master’s or PhD in Statistics, Computer Science or another quantitative field
- 8+ years of industry experience in Data Science and Analytics
- 6+ years experience in Python, R and SQL
- Experience leading complex cross functional projects and teams
- Experience promoting best practices and excellence across an analytics team
- Experience developing a vision, roadmap, datasets, and tooling in a nascent area
- Experience working with modern cloud based data stack
- Knowledge of statistics fundamentals, EDA, hypothesis testing, experimental design and analysis
- Knowledge of predictive modeling, forecasting and sequential testing
- Experience working on customer analytics to drive user growth, retention/churn, attribution, and LTV models
- Excellent oral and written communication skills
- Intensely curious problem solver who stays current on the latest techniques and introduces new methods when appropriate
Salary & Benefits
- 155,000 to 170,000 (DOE)
- Medical, Dental, and Vision
- Commuter Benefits
- Life & STD Insurance
- Company match on 401 (k)
- Flexible Time Off (FTO)
- Equity
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Biology Computer Science EDA Engineering KPIs Pharma PhD Pipelines Predictive modeling Python R Research SQL Statistics Testing
Perks/benefits: 401(k) matching Equity Flex hours Flex vacation Health care Insurance Startup environment Team events
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