leverage your quantitative expertise to analyze large datasets that inform decision-making
Manage data pipelines and workflows by working alongside data engineers to design and enhance data pipelines, while also developing your own processes for data handling, transformation, and analysis
Employ quantitative analysis and data visualization to uncover insights that go beyond the numbers and reveal what drives errors in our business
Discover business opportunities through data-driven insights and create impactful analytical solutions
Independently investigate data and establish a structured analytical plan to extract valuable insights
Develop, implement, and assess hypotheses to identify the factors leading to forecasting errors
Convey analytical findings and solutions through engaging narratives and visualizations, effectively involving stakeholders to support informed business decisions
Deliver actionable recommendations to senior leadership and internal stakeholders.

3+ years of experience in prescriptive and descriptive analytics, statistics, or a related discipline
Expertise in SQL and Python (Pandas) with 3+ years of professional experience
Ability to approach ambiguous problems and resolve them in a structured, hypothesis-driven manner supported by data
Develop comprehensive analytics experiments, reports, and dashboards utilizing SQL, Python, or other scripting and statistical tools
Experience collaborating with business leaders and key stakeholders to gather requirements and build solutions accordingly
Proven track record of making a measurable impact on the business's bottom line (e.g., cost savings, increased efficiency)
Familiarity with AWS and Azure platforms
Strong statistical and analytical foundation with practical experience in experimental design and ROI analysis
Proficient in investigating various data sources and systems to identify root causes and provide effective solutions, which may involve machine learning or statistical techniques
Skilled in using Microsoft Office Suite, including MS Excel and PowerPoint.

Senior Data Scientist

Key skills