Manager, Data Science

Responsibilities

We are seeking a Manager Data Science to lead a multidisciplinary team of Machine Learning Engineers Operations Research Analysts and Statisticians. This leader will drive advanced analytics solutions that improve manufacturing reliability optimize supply chain and logistics accelerate R&D and strengthen commercial decision-making across Eastman. The role spans strategy delivery and people leadership with accountability for model lifecycle management high-quality experimental design optimization at scale and responsible AI oversight.

Team Leadership & Talent Development
o Lead mentor and grow a 15-person team (ML Engineering Operations Research Statistics).
o Set clear goals accountability frameworks and career development plans.
o Foster a culture of scientific rigor safety and continuous improvement.
Analytics Strategy & Portfolio Management
o Build and execute a roadmap aligned to manufacturing excellence commercial disciplines supply chain optimization and R&D innovation.
o Prioritize initiatives using business value feasibility risk and time-to-impact.
o Define and track KPIs for model performance and business outcomes.
Solution Delivery & Technical Excellence
o Oversee end-to-end development of ML/AI OR optimization and statistical solutions (discovery through deployment and monitoring).
o Direct initiatives such as: process optimization production scheduling inventory/demand planning logistics network optimization price/mix analytics formulation design and experimental design.
o Ensure reproducibility scalability and robust MLOps practices.

Responsible AI & Compliance
o Partner with the Responsible AI council to enforce policies on data ethics transparency bias mitigation safety and model risk management.
o Establish documentation standards (model cards data lineage) human-in-the-loop controls and production guardrails.
o Align with quality systems regulatory requirements cybersecurity and data privacy policies.
Cross-Functional Collaboration
o Engage closely with Manufacturing Supply Chain R&D Commercial IT/Data Architecture etc. to translate business problems into analytical solutions.
o Work with Data Architecture and Data Management teams to ensure high-quality data pipelines metadata standards and governance.
o Communicate insights and decisions to executives and operational stakeholders.

Qualifications

Bachelors degree required advanced degree (M.S./Ph.D.) preferred in Operations Research Statistics Computer Science Chemical Engineering Industrial Engineering or related field.
8 years of experience in Data Science/Analytics or related role including 3 years leading technical teams.
Proven delivery of production-grade ML/AI and optimization solutions with measurable business impact.
Expertise in:
o Machine learning: supervised/unsupervised learning time series anomaly detection NLP feature engineering model monitoring.
o Operations research (preferred): mathematical programming network optimization scheduling simulation.
o Statistics: designed experiments multivariate analysis statistical process control regression analysis and data modeling.
Knowledge of software engineering practices: version control code reviews testing CI/CD containerization.
Excellent stakeholder management and communication skills; ability to translate analytics into decisions.
Knowledge of data governance privacy and model risk frameworks.

Note:

Eastman will not accept applicants for this offered position who require visa sponsorship including those whose status is F-1 visa OPT who subsequently would require ongoing visa sponsorship.