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Tech Stack
Tools & technologiesNumpyPandasPythonSQL
About the role
Key responsibilities & impact- Support the development and implementation of statistical, machine learning, and AI models to improve product development, pricing strategies, and customer experiences.
- Contribute to the design, refinement, and continuous improvement of rule based and analytical decision support logic used in pricing and commercial processes.
- Stay abreast of relevant research and industry developments and help the team prototype and evaluate new data science and AI techniques, including responsible use of generative AI where appropriate.
- Collaborate closely with cross functional teams (data science, data engineering, pricing, and business partners) to identify opportunities where analytics and AI can deliver measurable value.
- Partner with pricing, sales, and business stakeholders to translate commercial policies, objectives, and constraints into analytically sound and explainable solutions.
- Analyze historical and transactional data to calibrate recommendations, validate outcomes, identify edge cases, and assess business impact across markets.
- Communicate findings, recommendations, and tradeoffs through clear documentation, presentations, and visualizations, tailoring insights to both technical and non-technical audiences.
- Follow established practices for data privacy, security, and responsible AI; proactively raise risks, assumptions, and questions and partner with the team to address them.
Requirements
What you’ll need- 1–3 years of relevant experience (including internships, co ops, or academic projects) applying statistics and Python to real world datasets.
- Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related field required, master’s degree a plus.
- Fluency in English, both written and verbal.
- Hands on knowledge of applied statistics and experimentation (e.g., hypothesis testing, confidence intervals, A/B testing) and core machine learning concepts (e.g., classification, regression, model evaluation).
- Proficiency in Python for data analysis (pandas, NumPy) and working knowledge of SQL for querying data.
Benefits
Comp & perks- Competitive benefits plans
- A variety of medical insurance plans
- Employee Assistance Program
- Employee resource groups
- Recognition
- Flexible time off plans
- Vacation and holiday leave
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
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Hard Skills & Tools
statisticsmachine learningAI modelsdata analysishypothesis testingA/B testingclassificationregressionmodel evaluationPython
Soft Skills
collaborationcommunicationdocumentationpresentationproblem-solvinganalytical thinkingadaptabilityattention to detailstakeholder engagementcritical thinking