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Internship Manufacturing Data Scientist Jobs (NOW HIRING)

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

The Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University ... Experience gained through internships, co-ops, academic research, or applied capstone projects is ...

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Data Scientist * Full Time * Onsite/Hybrid Preferred The Data Scientist is responsible for ... internship experience, or equivalent hands-on industry experience may be considered in lieu of ...

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. * Outstanding ...

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

As a Data Scientist, you will be responsible for harvesting insights from a complex array of data ... including internships working with complex datasets, including curation, querying, aggregation ...

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 ...

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 ...

... 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 ...

Hybrid Job Purpose LP Building Solutions, a large specialty building products manufacturer, is looking for a full-time data scientist to join the data analytics team. Leveraging advanced analytical ...

New

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 ...

Description Lead the end-to-end delivery of data science and AI initiatives across manufacturing and operations Develop and deploy scalable models for scheduling, optimization, predictive maintenance ...

New

... interns on the team. • Other duties as assigned. Knowledge & Qualifications • Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science ...

Data Scientist

Orlando, FL · On-site

$107K/yr

Technical Leadership & Mentorship (10%) • Lead and manage a pipeline of talent, including interns, co-ops, and associate-level data scientists, providing coaching on model development methodologies ...

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

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Internship Manufacturing Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do internship manufacturing data scientist jobs pay per year?

As of Jun 12, 2026, the average yearly pay for internship manufacturing data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Internship Manufacturing Data Scientist vs Manufacturing Data Analyst?

AspectInternship Manufacturing Data ScientistManufacturing Data Analyst
Required CredentialsEnrolled in or recent graduate of a data science, statistics, or related programBachelor's degree in data analysis, statistics, or related field
Work EnvironmentInternship setting within manufacturing companies, often collaborative teamsFull-time role in manufacturing or industrial settings, focusing on data reporting
Employer & Industry UsageTypically used in manufacturing firms for training and project workCommonly employed for ongoing data analysis and reporting tasks

The Internship Manufacturing Data Scientist is an entry-level, training-focused role aimed at developing data science skills within manufacturing. In contrast, a Manufacturing Data Analyst is a full-time position focused on analyzing manufacturing data to support decision-making. While both roles involve working with manufacturing data, the internship emphasizes learning and skill development, whereas the analyst role involves ongoing data analysis responsibilities.

What cities are hiring for Internship Manufacturing Data Scientist jobs? Cities with the most Internship 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 Internship Manufacturing Data Scientist jobs? States with the most job openings for Internship Manufacturing Data Scientist jobs include:
Manufacturing Data Analyst

Manufacturing Data Analyst

Howmet Aerospace

Whitehall, MI

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago


Howmet Aerospace rating

7.7

Company rating: 7.7 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

46th of 60 rated aerospace companies


Job description

This Manufacturing Data Analyst will be located in the Plant 5 Ti-Cast Operation.

Job Roles

  • Data-informed consultant--listens well to understand processes and critical performance aspects, then provides data-informed insights and recommendations; maintains focus as an internal partner versus outside observer; balances predictive insights with problem solving and allocates time (both to projects and globally) accordingly
  • Strategy support--understands plant, campus, segment and enterprise strategy and prioritizes efforts accordingly; quantifies prospective interventions using common metrics; uses analytics to improve stakeholders’ ability to identify and achieve toward established hoshin
  • Forecast oriented--comprehends how both project and system-oriented decisions and interventions scale into the future; analyzes trends, anticipates business needs based on partner input and prioritizes focal points accordingly
  • Persuasion and influence--is objectively persuasive based on data, and interpersonally persuasive based on the ability to create trust and emphasize common goals; overcomes skepticism and invites hypothesis testing; understands the culture and how to accomplish things within it, yet has the courage to challenge existing methods
  • System creation--standardizes data use to create structure and systems of information and access; makes recommendations that, over time, alter existing systems or create new systems
  • Measurement implementation--collaborates with stakeholders to create measurement for interventions; tracks effectiveness as a guiding standard; learns information and outcomes that might initially be unfamiliar or outside incumbent expertise; maximizes and proves returns on investment at local and global levels
  • Builder/creator--has an entrepreneurial spirit to build a position/department/practice that grows and provides increasing benefits over time; enjoys the challenge of creating possibilities and proving concepts; believes in the prospective benefits and wants to scale them
  • Translator and storyteller--acts as liaison between information and application; synthesizes information and conveys it in the best form for stakeholder understanding and use; creates narratives from numbers, creating clear and engaging ideal state scenarios toward which the enterprise can strive
  • Complexity comfort--manages the tension between what we know and what we don’t know, between what we can implement now and what we must implement later; understands the breadth and depth of available information, yet introduces it to others in discerned measures, always toward practical and aspirational outcomes; transitions between global and local focus with ease
  • Interpersonally adept--builds and maintains relationships at varying levels throughout the organization; inspires trust and connection based on objectivity, expertise and curiosity

Job Responsibilities

This role serves as the plant’s primary resource for the following operational systems and functions:

  1. Serve as the plant’s Power BI owner; build, maintain, and continuously improve dashboards tracking production rate, yield, downtime, scrap, and quality

  2. Serve as the site’s subject matter expert and primary user for OHCMS (One Howmet Casting Manufacturing System), Howmet’s internal manufacturing execution and lot traceability system, act as backup to the Lot Trace Administrator and maintain lot integrity across production operations

  3. Support inventory management functions including data pulls, reconciliation support, and reporting tied to production and supply chain accuracy

  4. Pull, clean, and consolidate production data from MES systems including OHCMS, establish and maintain data standards and governance protocols for site-level data

  5. Perform cost modeling in support of manufacturing engineering and operations decisions

  6. Translate raw operational data into actionable insights for frontline supervisors and plant leadership (this role bridges the floor and the boardroom, not just the boardroom)

  7. Analyze and disseminate data to relevant audiences

  8. Make recommendations based on synthesis and interpretation of data

  9. Align recommendations to business outcomes

  10. Serve as link between information and application functions

  11. Create and monitor standardized systems of gathering, understanding and sharing data

  12. Improve performance from job level to enterprise adoption and adaptation


Basic Qualifications

  • Bachelor’s degree from an accredited institution

  • ​Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

Preferred Qualifications

  • Hands-on experience manipulating and applying advanced statistical analysis methods to real-world data
  • Bachelor’s degree in Data Science, Statistics, or Mathematics from an accredited institution

  • Prior experience with Howmet, Arconic, or comparable aerospace tier-one manufacturing systems strongly preferred

  • Minimum of 2 years of experience in manufacturing

  • Minimum of 2 years of experience with practical application of analytic statistical tools

  • In depth knowledge of statistical software packages

  • Proven success manipulating and applying advanced statistical analysis methods to real-world data

  • Self-starter, strong interpersonal skills and ability to function and drive to excel within a team environment

  • Strong written and oral communication skills, project planning ability, and ability to effectively use MS Office applications

  • Candidates must demonstrate hands-on Power BI development experience, not familiarity alone

  • Demonstrated experience with MES or ERP-type shop floor systems (OHCMS, SAP, Oracle, or equivalent)

  • Ability to serve as a system backup and cross-train others on data platforms and lot traceability tools

  • Experience supporting inventory accuracy and production data reconciliation in a high-mix, low-volume manufacturing environment

Company Description

Howmet Aerospace, headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company’s primary businesses focus on jet engine components, aerospace fastening systems and titanium structural parts necessary for mission-critical performance and efficiency in aerospace and defense applications, as well as forged wheels for commercial transportation. Howmet Aerospace is transforming the next phase of more fuel-efficient, quieter aerospace engines and sustainable ground transportation. For more information, visit www.howmet.com/joinus

What Howmet Aerospace employees say

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About Howmet Aerospace

Sourced by ZipRecruiter

Howmet Aerospace Inc. (NYSE: HWM), headquartered in Pittsburgh, Pennsylvania, is a leading global provider of advanced engineered solutions for the aerospace and transportation industries. The Company's sales for 2021 approximated $5 billion. The Company's primary businesses focus on jet engine components, aerospace fastening systems, titanium structural parts and forged wheels. With nearly 1,150 granted and pending patents, the Company's differentiated technologies promote more fuel efficiency for aircraft and commercial transportation. Howmet is proud to be an Equal Employment Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Pittsburgh, PA, US

Year founded

1888