Hybrid Principal Data Scientist

at Solstice Advanced Materials

• Job title: Principal Data Scientist
• Job type: Full Time
• Experience level: Lead
• Salary: $180,000 - $210,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, Cloud, ERP, Pandas, Python, PyTorch, Scikit-Learn, SQL, Tensorflow
• Location requirements: Hybrid, Morris Plains, United States

About the role

• Principal Data Scientist providing technical expertise and innovative solutions for Solstice’s analytics initiatives. Leading data-driven projects in supply chain and finance domains.

Responsibilities

• 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 (e.g., forecast accuracy, working capital, cost variances).
• Identify high-impact analytics opportunities in areas like demand planning, inventory management, financial forecasting, and risk analysis.
• Develop and deploy predictive models and optimization algorithms that address critical ISC and other domain problems.
• Build machine learning models for forecasting (e.g. supply and demand, cash flow), anomaly detection in financial transactions, optimization of supply chain networks, and other applied AI & Gen AI solutions.
• Ensure models are robust, scalable, and deliver measurable improvements (e.g. increased forecast accuracy, reduced costs).
• Lead end-to-end data science projects – defining concrete opportunities from vague problem statements, data extraction and exploration through model training, validation, and deployment.
• Work hands-on with large, complex datasets (e.g., ERP data, supply chain data, financial ledgers) to extract insights.
• Maintain high standards of data quality and model performance, and implement MLOps best practices for versioning, monitoring, and continuous improvement of models in production.
• Partner closely with Supply Chain analysts, Logistics managers, Finance controllers, and IT data teams to gather requirements and implement data-driven solutions.
• Translate complex analytical findings into actionable business insights (e.g. identifying drivers of inventory write-offs or cost overruns) and communicating these insights to non-technical stakeholders to inform decision-making.
• Ensure that analytics initiatives adhere to necessary compliance and governance standards.
• When developing models, ensure they incorporate checks to meet regulatory requirements.
• Stay abreast of the latest developments in data science, AI, and relevant industry trends.

Requirements

• 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

• 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