Senior Product Data Scientist

Lorien
Slough, UK
18 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

A/B Testing Business Analytics Applications IBM ILOG CPLEX Optimization Studio (CPLEX) Usage Analysis Feature Engineering Information Technology Marketplace

Requirements

About the RoleWe are looking for a Senior Product Data Scientist to help drive product innovation through data, experimentation and advanced analytics. You will work closely with Product Managers, Engineers and business stakeholders to identify opportunities, generate insights and build scalable data science solutions that improve customer and business outcomes. The successful candidate will combine strong analytical thinking with practical implementation skills and a passion for solving complex product and optimisation challenges. What You’ll DoPartner with Product and Engineering teams to define success metrics and evaluate product performance.Conduct exploratory analysis to identify opportunities for growth and customer impact.Design and analyse experiments including A/B tests and observational studies.Build predictive models and analytical tools that support product decision-making.Develop decision science and optimisation solutions where appropriate.Create dashboards, reporting frameworks and self-service analytics capabilities.Present findings and recommendations to both technical and non-technical audiences.Collaborate with stakeholders to translate business problems into analytical solutions.Contribute to data science best practices and mentor junior team members. Preferred Experience4+ years of experience in Data Science, Product Analytics, Decision Science, Applied Science or related fields.Experience using data to influence product or business decisions.Strong understanding of statistics, experimentation and machine learning.Experience delivering end-to-end analytical projects.Experience working in cross-functional product teams.Demonstrated ability to communicate complex findings clearly. Technical SkillsPython and SQLStatistical analysis and experimentationMachine LearningData Visualisation and DashboardingCloud-based analytics environmentsData modelling and feature engineering Nice to HaveExperience with optimisation, operations research or decision science.Experience with pricing, scheduling, forecasting or resource allocation problems.Familiarity with Gurobi, CPLEX, OR-Tools or similar optimisation tools.Experience in airlines, transportation, logistics, retail, marketplace or technology companies.MSc or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science or related field.

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