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Data Science In Manufacturing Sector Jobs (NOW HIRING)

... manufacturing systems. * Partner with senior engineers/leaders to understand needs and formulate ... D. degree in Computer Science, Statistics, Applied Statistics, Operations Research or related ...

Stay up to date with industry trends, research progress, and new technologies in data science and semiconductor manufacturing Minimum Qualifications: * B.S./M.S. degree or equivalent experience in ...

Data Scientist with strong Statistical Fundamentals learning Python with Pandas and NumPy ... Any unauthorized disclosure, dissemination, distribution, copying or the taking of any action in ...

... in the manufacturing sector. * Anticipate $140,000 - $190,000, BOE * Benefits include: Health ... Generate reports and analyze data for performance insights Qualifications: * Bachelor's degree in ...

Data Science Engineer

Lisle, IL · On-site

$112.90K - $135.60K/yr

Preferred : • Internship or project experience in manufacturing, supply chain, inventory planning ... data science and software projects demonstrating deployments, services, or integrated solutions ...

New

... in the manufacturing sector. * Anticipate $140,000 - $190,000, BOE * Benefits include: Health ... Generate reports and analyze data for performance insights Qualifications: * Bachelor's degree in ...

... in the manufacturing sector. * Anticipate $140,000 - $190,000, BOE * Benefits include: Health ... Generate reports and analyze data for performance insights Qualifications: * Bachelor's degree in ...

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Data Science In Manufacturing Sector information

What is the difference between Data Science In Manufacturing Sector vs Data Analyst in Manufacturing Sector?

AspectData Science In Manufacturing SectorData Analyst in Manufacturing Sector
Required CredentialsDegree in Data Science, Statistics, or related field; programming skillsDegree in Statistics, Mathematics, or related field; analytical skills
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData reporting, data visualization, basic analysis
Employer & Industry UsageUsed for optimizing manufacturing processes, predictive maintenanceUsed for reporting, trend analysis, operational insights

Data Science in Manufacturing Sector focuses on developing predictive models and advanced analytics to optimize production and maintenance. Data Analysts primarily handle data reporting and visualization to support operational decisions. Both roles are essential but differ in complexity and scope.

Senior Manager Data Science & AI

Full-time

Posted 2 days ago


Bollinger Shipyards rating

5.5

Company rating: 5.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

Job Summary:
Bollinger Shipyards is seeking a Senior Manager for Data Science & AI to establish and scale enterprise AI and machine learning capabilities. This role focuses on leading the development and operationalization of AI solutions to enhance forecasting, operational efficiency, and decision-making processes.
Responsibilities:
• Define and execute the enterprise roadmap for AI, machine learning, and advanced analytics initiatives
• Identify and prioritize high-value AI and predictive analytics use cases aligned to operational and strategic objectives
• Lead development of models supporting forecasting, cost estimation, scheduling, bidding optimization, operational efficiency, and intelligent automation
• Establish standards and governance for model development, validation, deployment, monitoring, and lifecycle management
• Ensure AI and ML solutions are integrated into enterprise workflows and production systems
• Partner with Data Engineering teams to ensure availability of scalable, high-quality datasets for model development
• Collaborate with business leaders to drive adoption and measurable business value from AI capabilities
• Evaluate emerging AI technologies, platforms, and opportunities relevant to Bollinger’s operational environment
• Lead and develop data science and ML engineering resources
• Ensure responsible, secure, and compliant use of AI technologies and enterprise data
• Establish KPIs and performance measures for AI initiatives and operational impact
Qualifications:
Required:
• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related field
• 8+ years of experience in data science, AI, machine learning, or advanced analytics roles
• 3+ years of leadership experience
• Proven experience leading enterprise AI and ML initiatives from concept through operational deployment
• Strong background in statistical modeling, machine learning, predictive analytics, and optimization techniques
• Experience working with large and complex enterprise datasets
• Experience leading technical teams and enterprise-scale initiatives
Preferred:
• Experience in manufacturing, industrial, shipbuilding, engineering, or operational environments
• Experience with Azure AI, ML Ops, cloud AI platforms, and modern AI frameworks
• Familiarity with Generative AI, intelligent automation, and agent-based AI applications
• Experience operationalizing AI solutions within ERP or operational systems
• Knowledge of AI governance, model risk management, and responsible AI practices
Company:
Bollinger Shipyards is a shipbuilding company offering new construction, repair, conversion products, and services. Founded in 1946, the company is headquartered in New Orleans, USA, with a team of 5001-10000 employees. The company is currently Late Stage.