Head of Data Science

We run a marketplace with over 300,000 active sellers and fulfillment centres in four regions. Since 1992, the company has expanded from listings into payments, shipping and seller financing.

This is a backfill for a team member who moved to another team. This hire will own our demand forecasting models and the process for keeping them accurate as conditions change. This is a full-time remote role. We use an employer of record in Nepal, so you get a proper employment contract, not a freelance agreement. Our standups are at 9:00 AM Pacific.

Your responsibilities:

• Present findings to product, marketing and finance leaders with clear recommendations
• Design and analyse A/B tests, including power calculations and guardrail metrics
• Segment customers and build churn and lifetime value models
• Package reusable code instead of leaving it in one-off notebooks

Qualifications:

• 10+ years of applied data science experience
• Data visualization in matplotlib, seaborn, Plotly or a BI tool
• Solid grasp of statistical inference, regression and experimental design
• Familiarity with Git and working in shared codebases
• Strong Python (pandas, NumPy, scikit-learn) and SQL

Preferred qualifications:

• Published research or strong Kaggle results
• Spark for large datasets

Benefits:

Pay: NPR 290,000 - NPR 340,000 a month

• Monthly internet allowance
• Public holidays observed per your country
• Company laptop
• Two weeks of paid leave at year end

The posting will close once we have a strong shortlist.

We look at every application, usually within a week.

Start: Within 30 days.

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