Job Description
Responsibilities
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- Partner with product, engineering, marketing, finance and other relevant stakeholders to identify, prioritize, and answer the most important questions where analytics, statistical and ML modeling will have a material impact
- Drive cross functional analytic projects from beginning to end: build relationships with partner teams, frame and structure questions, collect and analyze data, summarize and present key insights in support of decision making
- Work with engineers to evangelize data best practices and implement analytics solutions
- Develop, train, and deploy ML models serving predictions and automating business processes
- Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models
- Communicate key results with self-serve tools (dashboards, analytics tools) for leadership and product management
- Develop anomaly detection, and data modelling tools to monitor key performance indicators to improve the efficiency of the products
- Design experiments for product teams to test hypothesis and help with idea generation and refinement
- Build key datasets and data pipelines using SQL/Python/ETL frameworks
Requirements
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- PhD or Masters degree in Statistics, Computer Science, Physical Sciences, Economics, Math or a related technical field
- 5+ years industry experience in data science or analytics
- A consistent track record of performing data analysis using Python, R, and/or SQL
- Experience using statistics and predictive analytics to solve complex business problems
- The versatility and willingness to learn new technologies on the job
- The ability to clearly communicate complex results to technical and non-technical audiences
- Familiarity with other data tools such as Druid, Hadoop, Tableau, Superset is a plus
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