Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via email$ 246022 - 360000
1 Vacancy
Position: VP Data Science & Analytics
Location: 2801 E. 46th St. Vernon CA 90058
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 Novas executive team help set business strategy initiate and debate key strategic topics and opportunities from your teams 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.
Educ./experience:Bachelors degree or foreign equivalent in Computer Science Electronics Engineering or related field plus 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.
To apply please email your resume to:
Salary range: $246022 - $360000/year
#LI-DNI
Required Experience:
Exec
Full-Time