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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencemachine learningpredictive modelingoptimization algorithmsstatistical modelingtime-series forecastingclassificationregressiondata miningMLOps

Soft Skills

problem-solvingcommunicationleadershipcollaborationanalytical thinkinginfluencingdata-driven decision makingthought leadershiptranslating complex findingsattention to detail

Certifications

advanced degree in Data Scienceadvanced degree in Statisticsadvanced degree in Computer Scienceadvanced degree in Operations Research