VP, Data Science & Analytics

About the Role

Key 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, including the science, tools, and process of measuring towards an outstanding user experience.
• 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 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.

Requirements

• Bachelor's degree or foreign equivalent in Computer Science, Electronics Engineering or related field.
• Five (5) years of post-baccalaureate experience as a VP or Director of Data Science and Analytics, Director of Finance and Strategy-eCommerce, or in a related position.
• Experience with advanced analytics, statistical analysis, AI & Machine Learning models.
• Experience with XGBoost and Random Forest algorithms.
• Experience with geo-based statistical A/B tests.
• Knowledge of statistical methods including machine learning algorithms (regression, clustering) and data visualization tools such as Tableau and MicroStrategy.
• Proficiency in SQL, data mining, and Python.
• Experience with A/B Testing and Experiment Design.

Qualifications

• Bachelor's degree or foreign equivalent in relevant technical field.
• Five years of relevant post-baccalaureate experience in data science, analytics, or related leadership roles.

Benefits & Perks

• Salary range: $246,022 - $360,000/year