Sr. Manager, Supply Chain Data Scientist

e.l.f. BeautyOakland, CA
7d$105,000 - $140,000Hybrid

About The Position

e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Keys Soulcare, a groundbreaking lifestyle beauty brand created with Alicia Keys, Naturium, high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it’s a daily routine that nourishes your skin barrier over time. In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 27 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last six fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry. Visit our Career Page to learn more about our team: https://www.elfbeauty.com/work-with-us Position Summary The Senior Manager, Supply Chain Data Scientist serves as a senior technical and strategic thought partner, defining solution architectures, influencing product and business decisions, and ensuring that analytical solutions are both technically rigorous and operationally viable. The ideal candidate can lead end-to-end solutioning independently, manage ambiguity and complex stakeholder dynamics, and communicate technical and business risk effectively across teams and leadership levels. SQL and Python programming, and working with ML modeling will be a daily activity as you work with Snowflake data sets to build out planning and network optimization models.

Requirements

  • 5+ years of experience with advanced SQL and Python programming for data mapping, transformation and querying.
  • Prefer 3+ years’ experience within Supply Planning, Inventory Optimization, or Supply Chain Analytics.
  • Strong communication skills with the ability to lead cross-functional data initiatives.
  • Proven organizational skills, problem-solving ability, and leadership experience.
  • Bachelor’s degree minimum, advanced degree preferred.
  • High drive for results and willing to work in a demanding & rapid paced environment.
  • Excellent communication skills both verbal and written.
  • Excellent analytical, follow-up, and attention to detail skills.
  • Ability to work autonomously across functions to meet deadlines and drive tasks to completion.
  • System implementation experience a plus.
  • Excellent Excel Skills and knowledge; proficient in Microsoft Suite (Word and PowerPoint).

Responsibilities

  • Lead the framing, design, and delivery of advanced optimization and machine learning solutions for high-impact retail supply chain challenges.
  • Lead successful implementation and development of advanced planning and scheduling software, including network optimization and scenario planning.
  • Creating supply chain planning tools to improve planning processes, increasing accuracy and efficiency
  • Developing, implementing, and maintaining key performance indicators for supply chain planning
  • Build ad hoc reports for supply chain planning functions to help improve planning processes and communications
  • Refining statistical and machine learning forecasting models to minimize forecast error and bias
  • Develop Supply planning tools that include rough cut and finite capacity constraining

Benefits

  • competitive pay and benefits
  • bonus eligibility (200% of target over the last six fiscal years)
  • equity
  • flexible time off
  • year-round half-day Fridays
  • hybrid 3 day in office, 2 day at home work environment
  • medical, dental, and vision insurance
  • a retirement savings plan
  • gender neutral parental leave
  • unlimited paid time off
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