Manager, Data Science jobs in United States
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Eastman · 7 hours ago

Manager, Data Science

Eastman is a global specialty materials company that produces a broad range of products found in items people use every day. They are seeking a Manager, Data Science to lead a multidisciplinary team and drive advanced analytics solutions that improve manufacturing reliability and optimize supply chain and logistics.

Advanced MaterialsChemicalManufacturing
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Responsibilities

Lead, mentor, and grow a 15-person team (ML Engineering, Operations Research, Statistics)
Set clear goals, accountability frameworks, and career development plans
Foster a culture of scientific rigor, safety, and continuous improvement
Build and execute a roadmap aligned to manufacturing excellence, commercial disciplines, supply chain optimization, and R&D innovation
Prioritize initiatives using business value, feasibility, risk, and time-to-impact
Define and track KPIs for model performance and business outcomes
Oversee end-to-end development of ML/AI, OR optimization, and statistical solutions (discovery through deployment and monitoring)
Direct initiatives such as: process optimization, production scheduling, inventory/demand planning, logistics network optimization, price/mix analytics, formulation design, and experimental design
Ensure reproducibility, scalability, and robust MLOps practices
Partner with the Responsible AI council to enforce policies on data ethics, transparency, bias mitigation, safety, and model risk management
Establish documentation standards (model cards, data lineage), human-in-the-loop controls, and production guardrails
Align with quality systems, regulatory requirements, cybersecurity, and data privacy policies
Engage closely with Manufacturing, Supply Chain, R&D, Commercial, IT/Data Architecture, etc. to translate business problems into analytical solutions
Work with Data Architecture and Data Management teams to ensure high-quality data pipelines, metadata standards, and governance
Communicate insights and decisions to executives and operational stakeholders

Qualification

Machine learningOperations researchStatisticsData governanceSoftware engineering practicesStakeholder managementCommunication skills

Required

Bachelor's 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: Machine learning: supervised/unsupervised learning, time series, anomaly detection, NLP, feature engineering, model monitoring
Operations research (preferred): mathematical programming, network optimization, scheduling, simulation
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

Company

Founded in 1920, Eastman is a global specialty materials company that produces a broad range of products found in items people use every day.

Funding

Current Stage
Late Stage
Total Funding
unknown
2021-06-09Acquired

Leadership Team

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Stephanie Yeap
APEX ERG Global Co-Chair & Co-Founder
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Ruben Rietveld
Segment CFO
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Company data provided by crunchbase