Senior Data Scientist, Forecasting

Clients range from single-location retailers to franchise groups with hundreds of stores, all running our point-of-sale and loyalty software. Laptops are MacBook Pros, and you pick your own editor.

Job summary:

This is a new role. The team has doubled in size over the past year. The Experimentation team works directly with product and finance. You'll design experiments, build forecasts and explain the results. We're hiring another Senior Data Scientist, Forecasting to build models and run analyses that change decisions on pricing, retention and demand. Remote, open to candidates across the US. Standard office hours, Monday to Friday, with flexibility around them.

What you'll do:

• Present findings to product, marketing and finance leaders with clear recommendations.
• Translate vague business questions into problems the data can actually answer.
• Validate model performance and document assumptions and limitations.
• Segment customers and build churn and lifetime value models.
• Develop time series forecasts with Prophet, statsmodels or gradient-boosted approaches.
• Estimate causal effects with difference-in-differences, propensity matching or regression discontinuity.

Requirements:

• 7+ years of applied data science experience.
• Strong Python (pandas, NumPy, scikit-learn) and SQL.
• Data visualization in matplotlib, seaborn, Plotly or a BI tool.

What you get:

Salary: $97.50 - $111.50 an hour

• Referral program.
• $1,000 home office setup budget.

Chesapeake Cloud is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

We are unable to sponsor visas for this position.

We review applications on a rolling basis.

Duration: 9 months. Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Chesapeake Cloud.