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.
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.
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
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.
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).
Additional Information
The base salary range for this role is listed above.
Total compensation includes base salary, annual company-based performance bonus, and equity. Under e.l.f.’s annual bonus program, employees are eligible to earn up to 200% of their target bonus when company performance exceeds defined goals. In addition, e.l.f. provides a variety of other benefits to employees, including medical, dental, and vision insurance, a retirement savings plan, gender neutral parental leave, and unlimited paid time off. The amount of total compensation (including base salary) offered will be based on a wide range of factors, including geographic location, experience, specific skills, and qualifications.
Compensation components are subject to change at the company’s discretion
This job description is intended to describe the general nature and level of work being performed in this position. It also reflects the general details considered necessary to describe the principal functions of the job identified, and shall not be considered, as detailed description of all the work required inherent in the job. It is not an exhaustive list of responsibilities, and it is subject to changes and exceptions at the supervisors’ discretion.
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