Principal Data Scientist, Value Chain Optimization (Ref : 191387)

Title : Principal Data Scientist, Value Chain Optimization (Ref : 191387)

Salary : $230,000-275,000 + Bonus & LTI

Locations : NYC, San Fran, or Dallas

Contact : Nicholas.david@forsythbarnes.com

Our client stands out as a key player in the retail industry, specifically within the apparel and accessories sector. This organization is committed to using advanced analytics and innovative strategies to improve operational effectiveness and achieve superior business outcomes. By prioritizing sustainable practices and a customer-centric approach, they aspire to lead the market while contributing positively to societal welfare.

This opportunity calls for a Principal Data Scientist focused on enhancing supply chain efficiencies. The ideal candidate will utilize their extensive data science expertise to address complex problems and will play a vital role in aligning with the strategic objectives of the organization.

Requirements

• Direct experience building predictive or optimization models for supply chain, value chain, or manufacturing operations.
• Advanced proficiency in Python, R, Spark, Hive, and SQL for large-scale data manipulation in both on-prem and cloud environments (e.g., Azure, AWS, GCP).
• Strong knowledge of machine learning and statistical modeling techniques, including regression, time-series forecasting, boosted trees, neural networks, and reinforcement learning.
• Familiarity with optimization and simulation methods such as mixed-integer programming, heuristics, or Monte Carlo simulation.
• Proven ability to translate analytical findings into operational actions and measurable business impact.
• Strong collaboration and communication skills; able to work effectively with engineering, operations, and executive stakeholders.
• Experience leading data-driven initiatives that influence supply chain or value chain transformation.

Key Responsibilities