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Vuori · 1 day ago

Director, Data Science & AI

Carlsbad, CA

Full-time

Onsite

Director/Executive

$181K/yr - $243K/yr

12+ years exp

Vuori is a company redefining athletic apparel with a focus on a casual aesthetic suitable for everyday life. They are seeking an experienced Director of Data Science to lead their applied data science team, focusing on delivering scalable solutions that enhance consumer intelligence and personalization across various business functions.

ApparelBrand MarketingE-CommerceFashionMarketingRetailSales

Responsibilities

Translate the analytics strategy into an actionable data science roadmap, working closely with the technology and business leaders

Own execution of predictive and prescriptive analytics use cases across business functions, with emphasis on customer intelligence, retention, and personalization

Establish repeatable workflows for model development, testing, deployment, and monitoring in production

Collaborate with Marketing, CRM, Digital Product, and product teams to develop customer-facing data products and segmentation strategies

Support lifecycle marketing, acquisition, and retention through predictive modeling (e.g., churn prediction, next-best-action, lookalike modeling)

Work closely with merchandising, planning, and eCommerce to deliver customer-informed product recommendations, channel strategy, and pricing decisions

Partner with Data Engineering and Data Platform teams to ensure infrastructure supports scalable consumer data models

Lead and mentor a team of data scientists focused on both customer and operational use cases

Drive best practices for feature engineering, model development, and reproducibility

Develop a center of excellence for consumer analytics, with reusable frameworks and playbooks

Define and track business impact of consumer analytics initiatives: customer retention uplift, increase in average order value, reactivation rates, etc

Implement A/B and multivariate testing to validate personalization and targeting strategies

Ensure transparency, governance, and ethical use of customer data in all modeling efforts

Qualification

Data Science LeadershipConsumer AnalyticsPredictive ModelingPythonSQLCustomer SegmentationChurn PredictionPersonalized RecommendationsData Privacy RegulationsTeam DevelopmentBusiness AcumenApparel Retail ExperienceEthical AI Practices

Required

12+ years of experience in data science or advanced analytics, with at least 3 years leading teams

Demonstrated success applying data science to consumer behavior, personalization, and lifecycle marketing in a B2C or retail apparel context

Experience delivering models such as: Customer segmentation (RFM, behavioral, ML-based), Customer lifetime value (CLV) modeling, Personalized recommendations, Churn prediction & win-back targeting, Multi-touch attribution or media mix modeling

Strong hands-on ability in Python, SQL, and tools like Pandas, scikit-learn, or Spark

Business acumen and the ability to translate complex analysis into practical, audience-tailored recommendations

Bachelor's or Master's in a quantitative discipline (e.g., Statistics, Applied Math, Computer Science)

Apparel or fashion retail experience where brand affinity, style preferences, and return behavior play key roles

Experience with modern marketing stacks (e.g., CDPs (hightouch), Attentive, Braze etc)

Familiarity with real-time data applications for web/app personalization

Working knowledge of data privacy regulations and ethical AI practices related to customer data