Senior Data Scientist (Forecasting)

A bit about us

More than 9,000 organisations use our HR and payroll suite, from regional hospitals to school districts. On-call rotates weekly and pays a flat stipend whether or not the pager goes off.

The position

Brassline has an opening for a Senior Data Scientist (Forecasting). Applied data science role. We care more about whether your model gets used than about its AUC on a holdout set. This hire will own our demand forecasting models and the process for keeping them accurate as conditions change. This role is fully remote within the UK. You get a company laptop and a headset before you start.

Essential duties and responsibilities

• Build predictive models in Python using scikit-learn, XGBoost or LightGBM
• Pull and shape data with SQL from Snowflake, BigQuery or Databricks
• Partner with data engineering on feature tables and data quality
• Estimate causal effects with difference-in-differences, propensity matching or regression discontinuity
• Segment customers and build churn and lifetime value models
• Review peers' analyses for statistical correctness
• Develop time series forecasts with Prophet, statsmodels or gradient-boosted approaches
• Work with ML engineers to move models into production and monitor drift

You'll need

• 6+ years of applied data science experience
• MS or PhD in statistics, economics, computer science, physics or another quantitative field, or a BS plus equivalent experience
• Comfort with Jupyter, VS Code or Databricks notebooks
• Ability to communicate uncertainty and tradeoffs to non-technical audiences
• Solid grasp of statistical inference, regression and experimental design

Benefits

Salary range: £41,000 - £47,000 pa

• Private medical insurance
• Pension scheme with 5% employer contribution
• 25 days holiday plus bank holidays

Start: Flexible.

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