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Solstice Advanced Materials

Lead Data Scientist

Solstice Advanced Materials

Lead Data Scientist providing expertise in machine learning and data modeling for supply chain and finance. Transforming business needs into actionable data science solutions and driving innovation.

Posted 4/21/2026full-timeMorris Plains • New Jersey, North Carolina, Texas • 🇺🇸 United StatesSenior💰 $165,000 - $195,000 per yearWebsite

Tech Stack

Tools & technologies
AzureCloudPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact
  • Lead the design and implementation of Gen AI for tailored AI predictions in the manufacturing and supply chain space.
  • Spearhead development of Agentic architectures, including multi-agent patterns, deliver innovative AI solutions.
  • Identify high-impact opportunities in demand planning, inventory management, financial forecasting, and document processing.
  • Provide deep data science expertise and thought leadership in Supply Chain and Finance functions, understanding domain-specific challenges and KPIs.
  • Develop and deploy predictive models and optimization algorithms that address critical ISC and other domain problems.
  • Lead end-to-end data science projects – defining concrete opportunities from vague problem statements, data extraction and exploration through model training, validation, and deployment.
  • Partner closely with Supply Chain analysts, Logistics managers, Finance controllers, and IT data teams to gather requirements and implement data-driven solutions.
  • Ensure that analytics initiatives adhere to necessary compliance and governance standards.

Requirements

What you’ll need
  • Advanced degree (Bachelor’s or above) in Data Science, Statistics, Computer Science, Operations Research, or related field.
  • 8+ years of experience in data science or advanced analytics roles, including deploying solutions that drive measurable value (ideally in supply chain and/or finance contexts).
  • Expert-level programming in Python and SQL; proficiency with libraries/frameworks such as pandas, scikit-learn, TensorFlow/PyTorch; experience with Databricks or Azure Cloud ML services.
  • Strong grasp of statistical modeling, machine learning algorithms, and data mining techniques for time-series forecasting and classification/regression.
  • Solid understanding of supply chain (demand forecasting, S&OP, inventory optimization), finance (budgeting/planning, reporting, cost analysis) and similar enterprise function concepts.
  • Excellent problem-solving and ability to break ambiguous problems into actionable data questions; strong communication skills to influence business leaders.

Benefits

Comp & perks
  • employer-subsidized Medical, Dental, Vision, and Life Insurance
  • Short-Term and Long-Term Disability
  • 401(k) match
  • Flexible Spending Accounts
  • Health Savings Accounts
  • EAP
  • Educational Assistance
  • Parental Leave
  • Paid Time Off (for vacation, personal business, sick time, and parental leave)
  • 12 Paid Holidays

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data scienceadvanced analyticsprogrammingPythonSQLstatistical modelingmachine learningdata miningpredictive modelsoptimization algorithms
Soft Skills
problem-solvingcommunicationleadershipcollaborationinfluencing