Lead Data Scientist

Job summary:

This is a backfill for a team member who moved to another team. AN Apps needs someone comfortable with both statistics and production code. Expect messy, real data and a fair amount of time on feature engineering and validation. This is a full-time remote role. We use an employer of record in Sweden, so you get a proper employment contract, not a freelance agreement. You will need at least 4 hours of overlap with US Central time. Good written English matters here, since most updates are written.

What you'll be doing:

• Validate model performance and document assumptions and limitations.
• Review peers' analyses for statistical correctness.
• Develop time series forecasts with Prophet, statsmodels or gradient-boosted approaches.
• Present findings to product, marketing and finance leaders with clear recommendations.
• Work with ML engineers to move models into production and monitor drift.
• Design and analyse A/B tests, including power calculations and guardrail metrics.
• Segment customers and build churn and lifetime value models.

About you:

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

Why work with us:

• Annual team retreat.
• 24 days paid time off.
• Paid parental leave.
• Paid sick days.
• Annual salary review.
• Performance bonus.

Company overview:

Profitable, no outside investors, and no plans to take any. We grow when customers pay us. Two developers, a designer and a support lead make up most of the company, so everyone touches the product.

This posting may close early if we receive enough applications.

Start: Flexible.

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