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VP – Data Science & Analytics
Company | Fashion Nova |
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Location | Los Angeles, CA, USA |
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Salary | $246022 – $360000 |
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Type | Full-Time |
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Degrees | Bachelor’s |
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Experience Level | Senior, Expert or higher |
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Requirements
- Bachelor’s degree or foreign equivalent in Computer Science, Electronics Engineering or related field
- Five (5) years of post-baccalaureate experience as a V.P. or Director of Data Science and Analytics, Director of Finance and Strategy-eCommerce or in a related position
- Experience must include advanced analytics, statistical analysis, AI & Machine Learning models; XGBoost and Random Forest algorithms; Geo-based statistical A/B tests; statistical methods including machine learning algorithms (regression, clustering) and data visualization tools, Tableau and MicroStrategy; SQL, data mining, Python; and A/B Testing and Experiment Design.
Responsibilities
- Build a high performing, responsive team of data scientists, and analysts that can gather and synthesize data quickly and accurately
- Partner with engineering and product teams to design experiments, analyze results, and deliver insights
- Support data-informed decision-making across the entire company
- Partner with the product team to design and analyze root cause effective A/B tests
- Work closely with Marketing to optimize monthly advertising budgets based on customer insights
- Participate with Fashion Nova’s executive team, help set business strategy, initiate and debate key strategic topics and opportunities from your team’s work, and drive bold high-impact decisions
- Collaborate with cross-functional partners in product, engineering, operations, finance, and marketing to define and build data-informed business strategy
- Determine how to leverage data science, machine learning, and other analytical techniques to offer actionable insights and improve user experiences
- Provide timely turnarounds on data requests for ‘one-off’ activities, such as acquisition, partnership analyses and new product initiatives
- Utilize strong technical expertise to coach and develop the team, guiding them on career paths and fostering their growth
- Position supervises one data engineer and two data analysts.
Preferred Qualifications
No preferred qualifications provided.