Senior Data Scientist building and maintaining forecasting models for Relay Network logistics. Collaborating with teams to drive operational decisions based on predictive models.
Responsibilities
Build and maintain forecasting models within your domain
Learn the operational processes your models serve
Monitor model performance in production
Contribute to methodology decisions
Translate operational problems into data science problems
Work with Finance for reliable handoff between operational and financial models
Quantify the impact of model errors on cost per parcel
Influence the squad's technical direction
Requirements
5+ years of experience in a data science or quantitative modelling role
Strong Python and SQL
Understanding of interconnected systems and demand forecasting
Experience with time-series forecasting methods
Comfort working across the modelling lifecycle
Communication skills with non-technical stakeholders
Experience using AI tools
Benefits
Generous equity, richer than 99% of European startups, with annual top-ups to share Relay’s success.
Private health & dental coverage, so comprehensive you’d need to be a partner at a Magic Circle law firm to match it.
25 days of holidays
Enhanced parental leave.
Hardware of your choice.
Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more).
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