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Manufacturing Data Scientist Jobs (NOW HIRING)

Lutron Electronics

Data Scientist

Boston, MA · On-site

As a Data Scientist, you will apply data science, analytics, machine learning, and AI to improve ... Lutron Electronics is tech-based company that manufactures a variety of energy-saving light ...

Guru Schools

Data Scientist

Raritan, NJ · On-site

Overview: - Data Scientist (Contract-Based) Johnson & Johnson is currently seeking a Data Scientist ... Experience with Demand/Supply Planning, Manufacturing, Inventory Management and Supply Chain ...

Ultra Clean Technology

Data Scientist

Phoenix, AZ · On-site

The Data Scientist will play a crucial role in developing advanced analytics and machine learning ... manufacturing and supply chain use cases such as supplier lead time prediction, inventory ...

Judge Group, Inc.

Data Scientist

Jacksonville, FL · On-site

$55 - $60/hr

Remote (USA), with 25%-30% travel required across USA Type: 6 months + Extension possible : * 8-10 years of experience as a Data Scientist, with 2-3 years in manufacturing (preferred) * Hands-on in ...

QuantumClean

Data Scientist

Phoenix, AZ

The Data Scientist will serve as a key contributor to the company's data and analytics strategy, partnering with manufacturing, supply chain, quality, and IT stakeholders to deliver advanced ...

ATI

Data Scientist

Cudahy, WI · On-site

... of manufacturing processes. A successful Data Scientist will work cross-functionally across multiple levels, operate effectively in early-stage development of processes and procedures, and will ...

Vantive

Data Scientist - Sciences

Oakdale, MN · On-site

The Data Scientist will be responsible for supporting the Global R&D Sciences team to design ... Experience working with laboratory or manufacturing data * Experience designing experiments (DOE)

UCT Alumni Association

Data Scientist

Phoenix, AZ · On-site

The Data Scientist will serve as a key contributor to the company's data and analytics strategy, partnering with manufacturing, supply chain, quality, and IT stakeholders to deliver advanced ...

BIOMARIN PHARMACEUTICAL

Data Scientist 2

Novato, CA · On-site

Data Scientists in TOPS contribute to owning, developing and executing the organization ... Identify and frame AI opportunities across Technical Development, Manufacturing, Quality, and ...

Toyota

Principal Data Scientist

Plano, TX · On-site

Experience applying data science in product quality, manufacturing quality, or related industrial ... quality domains * Experience in automotive or advanced manufacturing environments * Proficiency ...

Cavallo Solutions

Data Scientist

Grand Rapids, MI · On-site

Using our customers' data and advanced data science, we are building products that allow our ... We've been helping manufacturing and distribution companies increase productivity since 2003 ...

Nissan Motor Co., Ltd.

Data Scientist

Smyrna, TN · On-site

The Data Scientist owns end-to-end execution-from problem framing and solution design to model ... Strong cross-functional business acumen, especially within manufacturing, supply chain, or ...

swirecc

Data Scientist

Draper, UT · On-site

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data science and advanced analytics for large manufacturing and retail company. Employ Artificial Intelligence ...

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Manufacturing Data Scientist information

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$37.5K

$122.7K

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How much do manufacturing data scientist jobs pay per year?

As of Jun 9, 2026, the average yearly pay for manufacturing data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Manufacturing Data Scientist position, and why are they important?

To thrive as a Manufacturing Data Scientist, you need strong analytical abilities, proficiency in statistics, data modeling, and a degree in engineering, mathematics, or a related field. Familiarity with tools such as Python, R, SQL, machine learning platforms, and experience with manufacturing systems like MES or ERP are typically required. Strong problem-solving, communication, and the ability to collaborate across cross-functional teams are important soft skills. These qualifications are essential for analyzing complex manufacturing data, driving process improvements, and facilitating successful adoption of data-driven decisions on the production floor.

What are some common challenges a Manufacturing Data Scientist faces in their daily work?

Manufacturing Data Scientists often work with large and varied datasets from different machines and systems, which can be noisy or incomplete, requiring careful data cleaning and preprocessing. They also face the challenge of translating technical findings into actionable insights for engineers, plant managers, and non-technical stakeholders. Collaboration across departments, such as operations, quality assurance, and IT, is a key part of the job, making clear communication and project management skills vital. Adapting data solutions to legacy equipment or evolving production lines can add complexity, but these challenges provide valuable opportunities to drive impactful process improvements.

What is a Manufacturing Data Scientist job?

A Manufacturing Data Scientist analyzes data from production lines, sensors, and quality control systems to optimize manufacturing processes. They use machine learning, statistical modeling, and data visualization to improve efficiency, reduce waste, and enhance product quality. Their responsibilities include predictive maintenance, defect detection, and process automation. By leveraging data, they help manufacturers make data-driven decisions to improve productivity and reduce operational costs.

More about Manufacturing Data Scientist jobs
What cities are hiring for Manufacturing Data Scientist jobs? Cities with the most Manufacturing Data Scientist job openings:
What are the most commonly searched types of Manufacturing Data Scientist jobs? The most popular types of Manufacturing Data Scientist jobs are:
What states have the most Manufacturing Data Scientist jobs? States with the most job openings for Manufacturing Data Scientist jobs include:
What job categories do people searching Manufacturing Data Scientist jobs look for? The top searched job categories for Manufacturing Data Scientist jobs are:
Manufacturing Data Scientist jobs near you
Infographic showing various Manufacturing Data Scientist job openings in the United States as of June 2026, with employment types broken down into 63% Full Time, 33% Part Time, 2% Contract, and 2% Nights. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Director, Process Data Science and Statistics lead

Director, Process Data Science and Statistics lead

AstraZeneca

Santa Monica, CA • On-site

Full-time

Posted 12 days ago

AstraZeneca rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

16th of 71 rated pharmaceutical

Job description

We are seeking an experienced leader, Director, Process Data Science and Statistics lead, Process Engineering, within the Cell Therapy Technical Operations function. This role is responsible for end-to-end statistical strategy, data infrastructure, and AI/ML capabilities that enable regulatory submissions, process characterization, and commercial manufacturing readiness for pivotal-stage cell therapy programs.
The Director will own statistical and digital strategies for comparability assessments, process characterization studies, and commercial process monitoring of the cell therapy programs. This role builds and maintains data systems, analytical platforms, and AI-enabled tooling that connect process characterization and manufacturing execution data to statistical analysis and decision support - scaling from early process development through late-stage clinical development and commercial and post-commercial manufacturing.
This position reports to the Executive Director, Process Engineering, Cell Therapy Development and Operations, and is located in either Santa Monica, CA or Gaithersburg, MD.
Accountabilities
Statistical Strategy & Regulatory Support
  • Own end-to-end statistical strategy for comparability assessments (site transfers, significant process changes), process characterization, and aids in control strategy development for pivotal-stage cell therapy programs
  • Apply rigorous statistical frameworks (equivalence testing, process capability analysis, variance component analysis, tolerance intervals) to evaluate drug product quality and generate defensible regulatory narratives under tight timelines
  • Support authoring CMC sections of IND amendments and regulatory submissions; respond to agency questions on manufacturing data and statistical methods
  • Design and analyze DOE studies for process characterization and LVV manufacturing, including risk-based parameter selection and interaction modeling
  • Support process and product characterization for early development activities

Process Monitoring & Reporting
  • Design and maintain process monitoring programs for pivotal and commercial manufacturing, including statistical control charts, alert/action limits, and trend detection
  • Support CMC process and product characterization analysis during early development
  • Build structured interactive reports and dashboards delivering real-time batch visibility, in-process trend tracking, and decision support across programs
  • Support efforts to incorporate AI and ML technologies during early CMC process development

Data Infrastructure & Digital Systems
  • Partner with IT to define requirements for data pipelines and analytical platforms (including tools such as Snowflake, Streamlit applications, other cloud platforms enabling automated reporting) that connect process development and manufacturing execution data to statistical analysis and decision support
  • Drive manufacturing data digitization strategy, working with IT and manufacturing sites to establish scalable data capture and integration for commercial readiness
  • Collaborate with IT to build and maintain data systems including interactive applications for process simulation, lab equipment data integration, and LLM-enabled data analysis and review
  • Develop and deploy AI/ML solutions for process development and manufacturing process understanding, including predictive modeling, clustering, and automated data analysis workflows
  • Support data digitization strategy for process optimization.

Technical Leadership & Mentorship
  • Shape long-term digital manufacturing and data science strategy, driving AI/ML integration and scalable infrastructure to enable commercial readiness
  • Support data science strategy and strategic plans for incorporating AI/ML during early CMC Process Development.
  • Mentor scientists and engineers in statistical rigor, DOE principles, and applied data science to elevate organizational capability
  • Collaborate cross-functionally with R&D, MSAT, Manufacturing Operations, Quality, and IT to align data capabilities with program needs

Required Qualifications
Education
  • Ph.D. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field with 6+ years of industry experience
  • OR M.S. in Chemical Engineering, Biochemical Engineering, Biotechnology, Data Science, Statistics, or related field with 10+ years of industry experience
  • OR B.S. with 12+ years of hands-on industry experience

Technical Skills
  • Demonstrated expertise in applied data science and statistical methods for process development or manufacturing (equivalence testing, process capability, variance components, DOE, control charting)
  • Proficiency in Python (pandas, scipy, statsmodels, scikit-learn, plotly) and SQL for data analysis and pipeline development
  • Experience with software development practices including version control, automation, and reproducible analysis workflows
  • Experience supporting regulatory submissions (IND, BLA) with statistical analysis and CMC documentation
  • Strong communication skills with ability to translate complex statistical findings into actionable insights for cross-functional audiences and regulatory-ready narratives

Soft Skills
  • Excellent cross-functional communication and collaboration in matrixed environments
  • Ability to work independently, set priorities, and deliver under time-sensitive regulatory timelines
  • Strategic thinking with ability to shape long-term data and analytics roadmaps

Preferred Qualifications
  • 5+ years of experience working with cloud data systems (AWS, Snowflake, Databricks, or similar)
  • Experience building interactive analytical applications (Streamlit, Dash, or similar)
  • Experience with AI/ML methods applied to manufacturing or bioprocess problems, including LLM-based tooling
  • Experience in cell therapy or biologics manufacturing
  • Experience with DOE design and analysis for process characterization
  • Track record of building and deploying automated reporting and process monitoring systems

When we put unexpected teams in the same room, we fuel bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
The annual base salary for this position ranges from $161,252.80 - $241,879.20. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related experience. If hired, employee will be in an "at-will position" and we reserve the right to modify base salary (and any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Why AstraZeneca?
At AstraZeneca's Biopharmaceuticals R&D division, we are nimble and agile, always harnessing our diverse knowledge. We are part of the solution, turning our drug development strategies into reality. Work at all stages of development to translate our life-changing science into medicines to get the best results for AstraZeneca, patients in need and healthcare professionals. We are a diverse and open-minded team harnessing our different skills and experiences. Our differences enable us to explore new ideas and ways of doing things. It keeps us on our toes and excited for what's next.
Ready to make a difference? Apply today and join us in our mission to create life-changing medicines!
So, what's next!
Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it's yours.
Where can I find out more?
Check out our landing page for more information on our BPD group https://careers.astrazeneca.com/bpd
Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/
Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/
Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en
Date Posted
28-May-2026
Closing Date
18-Jun-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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