24,419 Process Data jobs in the United States

Sr. Process Data Scientist

Date: Sep 20, 2025

Location: Austin, TX, US, 78726Keller, TX, US, 76248

Company: Corning

Requisition Number: 70323

**The company built on breakthroughs.  **

**Join us. **

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.   

How do we do this? With our people. They break through limitations and expectations – not once in a career, but every day. They help move our company, and the world, forward.  

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.  

Come break through with us. 

Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings – carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.

Role Purpose

The Senior Process Data Scientist will lead the development and deployment of advanced analytics solutions to drive strategic decision-making and operational excellence across the organization through process improvement. This role will focus on leveraging machine learning, statistical modeling, and big data technologies to uncover insights, optimize processes, and support the digital transformation journey, including Manufacturing 4.0 initiatives.

Key Responsibilities

• Design and implement scalable data science solutions for complex business problems across manufacturing, engineering, and operations.

• Lead cross-functional analytics projects from ideation to deployment, ensuring alignment with business goals.

• Develop predictive and prescriptive models using machine learning, deep learning, and statistical techniques.

• Architect and maintain robust data pipelines and analytical frameworks in collaboration with data engineering and IT teams.

• Mentor junior data scientists and analysts, fostering a culture of continuous learning and innovation.

• Partner with stakeholders to translate business needs into data-driven strategies and actionable insights.

• Create compelling visualizations and dashboards using tools like Power BI or Tableau to communicate findings effectively.

• Serve as a subject matter expert in data science, guiding best practices in data governance, model validation, and ethical AI.

• Contribute to the advancement of Manufacturing 4.0 by integrating AI/ML into process optimization and automation initiatives.

Required Qualifications

• Bachelor’s in Data Science, Computer Science, Engineering, Statistics, or a related field.

• 5+ years of experience in data science, analytics, or a related field, preferably in a manufacturing or industrial setting.

• Proficiency in Python, R, SQL, and experience with big data platforms (e.g., Databricks, Spark, Hadoop).

• Strong foundation in statistical modeling, machine learning, and data mining techniques.

• Experience with cloud platforms (e.g., Azure, AWS, GCP) and modern data architectures.

• Advanced data visualization skills using Power BI, Tableau, or similar tools.

• Excellent communication and leadership skills with the ability to influence at all levels of the organization.

Desired Qualifications

• Master’s or Ph.D. in Data Science, Computer Science, Engineering, Statistics, or a related field.

• Experience with manufacturing systems (MES, ERP) and industrial data platforms (e.g., OSI PI).

• Familiarity with MLOps practices and tools for model deployment and monitoring.

• Bilingual (English/Spanish) and experience working with international or cross-cultural teams.

• Professional certifications in Data Science, Machine Learning, or related fields.

This position does not support immigration sponsorship.

The range for this position is $97,542.00 - $134,121.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position are dependent on hours worked and may include medical, dental, vision, 401(k) plan, pension plan, life insurance coverage, disability benefits, and PTO.

**A job that shapes a life. **

**Corning offers you the total package. **

Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial, and career from day one

• As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit that grows throughout your career. We also offer a 401(k) savings plan with company matching contributions. 

• Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, and disease management programs.

• Company-wide bonuses and long-term incentives, align with key business results and ensure you are rewarded when the company performs well – when Corning wins, we all win.   

• Getting paid for our work is important but feeling appreciated and recognized for those contributions motivates us much more. That’s why Corning offers a peer-to-peer recognition program to celebrate success by recognizing colleagues who demonstrate above-and-beyond behaviors. 

We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at.

Nearest Major Market: Austin

Sr. Process Data Scientist
**Date:** Sep 20, 2025
**Location:** Austin, TX, US, 78726Keller, TX, US, 76248
**Company:** Corning
Requisition Number: 70323
**The company built on breakthroughs.  **
**Join us. **
Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.   
How do we do this? With our people. They break through limitations and expectations - not once in a career, but every day. They help move our company, and the world, forward.  
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.  
Come break through with us. 
Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings - carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.
**Role Purpose**
The Senior Process Data Scientist will lead the development and deployment of advanced analytics solutions to drive strategic decision-making and operational excellence across the organization through process improvement. This role will focus on leveraging machine learning, statistical modeling, and big data technologies to uncover insights, optimize processes, and support the digital transformation journey, including Manufacturing 4.0 initiatives.
**Key Responsibilities**
+ Design and implement scalable data science solutions for complex business problems across manufacturing, engineering, and operations.
+ Lead cross-functional analytics projects from ideation to deployment, ensuring alignment with business goals.
+ Develop predictive and prescriptive models using machine learning, deep learning, and statistical techniques.
+ Architect and maintain robust data pipelines and analytical frameworks in collaboration with data engineering and IT teams.
+ Mentor junior data scientists and analysts, fostering a culture of continuous learning and innovation.
+ Partner with stakeholders to translate business needs into data-driven strategies and actionable insights.
+ Create compelling visualizations and dashboards using tools like Power BI or Tableau to communicate findings effectively.
+ Serve as a subject matter expert in data science, guiding best practices in data governance, model validation, and ethical AI.
+ Contribute to the advancement of Manufacturing 4.0 by integrating AI/ML into process optimization and automation initiatives.
**Required Qualifications**
+ Bachelor's in Data Science, Computer Science, Engineering, Statistics, or a related field.
+ 5+ years of experience in data science, analytics, or a related field, preferably in a manufacturing or industrial setting.
+ Proficiency in Python, R, SQL, and experience with big data platforms (e.g., Databricks, Spark, Hadoop).
+ Strong foundation in statistical modeling, machine learning, and data mining techniques.
+ Experience with cloud platforms (e.g., Azure, AWS, GCP) and modern data architectures.
+ Advanced data visualization skills using Power BI, Tableau, or similar tools.
+ Excellent communication and leadership skills with the ability to influence at all levels of the organization.
**Desired Qualifications**
+ Master's or Ph.D. in Data Science, Computer Science, Engineering, Statistics, or a related field.
+ Experience with manufacturing systems (MES, ERP) and industrial data platforms (e.g., OSI PI).
+ Familiarity with MLOps practices and tools for model deployment and monitoring.
+ Bilingual (English/Spanish) and experience working with international or cross-cultural teams.
+ Professional certifications in Data Science, Machine Learning, or related fields.
**This position does not support immigration sponsorship.**
The range for this position is $97,542.00 - $134,121.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position are dependent on hours worked and may include medical, dental, vision, 401(k) plan, pension plan, life insurance coverage, disability benefits, and PTO.
**A job that shapes a life. **
**Corning offers you the total package. **
Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial, and career from day one
+ As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit that grows throughout your career. We also offer a 401(k) savings plan with company matching contributions. 
+ Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, and disease management programs.
+ Company-wide bonuses and long-term incentives, align with key business results and ensure you are rewarded when the company performs well - when Corning wins, we all win.   
+ Getting paid for our work is important but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a peer-to-peer recognition program to celebrate success by recognizing colleagues who demonstrate above-and-beyond behaviors. 
We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at.
**Nearest Major Market:** Austin

Sr. Process Data Scientist
**Date:** Sep 20, 2025
**Location:** Austin, TX, US, 78726Keller, TX, US, 76248
**Company:** Corning
Requisition Number: 70323
**The company built on breakthroughs.  **
**Join us. **
Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what's possible.   
How do we do this? With our people. They break through limitations and expectations - not once in a career, but every day. They help move our company, and the world, forward.  
At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.  
Come break through with us. 
Our Optical Communications segment has recently evolved from being a manufacturer of optical fiber and cable, hardware and equipment to being a comprehensive provider of industry-leading optical solutions across the broader communications industry.This segment is classified into two main product groupings - carrier network and enterprise network. The carrier network product group consists primarily of products and solutions for optical-based communications infrastructure for services such as video, data and voice communications. The enterprise network product group consists primarily of optical-based communication networks sold to businesses, governments and individuals for their own use.
**Role Purpose**
The Senior Process Data Scientist will lead the development and deployment of advanced analytics solutions to drive strategic decision-making and operational excellence across the organization through process improvement. This role will focus on leveraging machine learning, statistical modeling, and big data technologies to uncover insights, optimize processes, and support the digital transformation journey, including Manufacturing 4.0 initiatives.
**Key Responsibilities**
+ Design and implement scalable data science solutions for complex business problems across manufacturing, engineering, and operations.
+ Lead cross-functional analytics projects from ideation to deployment, ensuring alignment with business goals.
+ Develop predictive and prescriptive models using machine learning, deep learning, and statistical techniques.
+ Architect and maintain robust data pipelines and analytical frameworks in collaboration with data engineering and IT teams.
+ Mentor junior data scientists and analysts, fostering a culture of continuous learning and innovation.
+ Partner with stakeholders to translate business needs into data-driven strategies and actionable insights.
+ Create compelling visualizations and dashboards using tools like Power BI or Tableau to communicate findings effectively.
+ Serve as a subject matter expert in data science, guiding best practices in data governance, model validation, and ethical AI.
+ Contribute to the advancement of Manufacturing 4.0 by integrating AI/ML into process optimization and automation initiatives.
**Required Qualifications**
+ Bachelor's in Data Science, Computer Science, Engineering, Statistics, or a related field.
+ 5+ years of experience in data science, analytics, or a related field, preferably in a manufacturing or industrial setting.
+ Proficiency in Python, R, SQL, and experience with big data platforms (e.g., Databricks, Spark, Hadoop).
+ Strong foundation in statistical modeling, machine learning, and data mining techniques.
+ Experience with cloud platforms (e.g., Azure, AWS, GCP) and modern data architectures.
+ Advanced data visualization skills using Power BI, Tableau, or similar tools.
+ Excellent communication and leadership skills with the ability to influence at all levels of the organization.
**Desired Qualifications**
+ Master's or Ph.D. in Data Science, Computer Science, Engineering, Statistics, or a related field.
+ Experience with manufacturing systems (MES, ERP) and industrial data platforms (e.g., OSI PI).
+ Familiarity with MLOps practices and tools for model deployment and monitoring.
+ Bilingual (English/Spanish) and experience working with international or cross-cultural teams.
+ Professional certifications in Data Science, Machine Learning, or related fields.
**This position does not support immigration sponsorship.**
The range for this position is $97,542.00 - $134,121.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position are dependent on hours worked and may include medical, dental, vision, 401(k) plan, pension plan, life insurance coverage, disability benefits, and PTO.
**A job that shapes a life. **
**Corning offers you the total package. **
Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial, and career from day one
+ As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit that grows throughout your career. We also offer a 401(k) savings plan with company matching contributions. 
+ Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, and disease management programs.
+ Company-wide bonuses and long-term incentives, align with key business results and ensure you are rewarded when the company performs well - when Corning wins, we all win.   
+ Getting paid for our work is important but feeling appreciated and recognized for those contributions motivates us much more. That's why Corning offers a peer-to-peer recognition program to celebrate success by recognizing colleagues who demonstrate above-and-beyond behaviors. 
We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To request an accommodation, please contact us at.
**Nearest Major Market:** Austin

Remote

# Business Process & Data Analyst - Contract Extended Deadline: Fri 10/3/2025 Apply Now
UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply.

Job posting will remain open until a suitable candidate has been identified.

Initial application review 9/2/25

This is a 100% Contract position for 1 year with the possibility of extension or conversion to career status.

DESCRIPTION

Enrollment Management (EM) is a multi-unit department within the Office of the Executive Vice Chancellor-Academic Affairs. The department is led by the Associate Vice Chancellor for Enrollment Management (AVC EM), who serves as the Chief Enrollment Officer and Chief Outreach Officer of the University. EM comprises multiple high-profile, core functional units including: the Office of Undergraduate Admissions, Office of the Registrar, Financial Aid & Scholarships Office, Cal-SOAP, Creative Services, Enrollment Analytics, and the Business Office. We work to advance the academic and public service missions of UC San Diego by ensuring equitable access to education and empowering students throughout their educational journeys.

The Financial Aid and Scholarships (FAS) Office works collaboratively with the rest of Enrollment Management and other campus partners to support students from their recruitment, initial enrollment and through degree completion. The office works to ensure all admitted and continuing students have adequate financial resources available to attend UC San Diego. The FAS Office administers over $550 million in support to undergraduate students and $5 million to graduate/professional level students (excluding Health Sciences). About 70% of undergraduates receive some form of support, with this number growing each year. The staff provides outreach services, counseling, eligibility and verification determination, budgeting, awarding, reconciliation of payments, and federal, state, and university reporting. Under the general supervision of the Associate Director of Financial Aid, Business Systems, the Business Process Analyst is a project leader responsible for functions that are of major scope and complexity including developing, implementing, maintaining and executing financial aid and scholarship in-house systems for the Financial Aid and Scholarships Office.

POSITION OVERVIEW:

In this role, the incumbent applies skills as a seasoned, experienced professional with a full understanding of industry-wide business process and analysis practices and organizational policies and procedures. The Business Process and Data Analyst utilizes third party software such as Slate CRM and Microsoft Access to support critical business processes including but not limited to the College Financing Plan (CFP) calculations for preparing student aid offers; origination and processing of Alternative Loans; and Satisfactory Academic Process (SAP) monitoring.

Skills and knowledge include strong technical knowledge and experience in similar student systems environment, project management experience, and excellent written and verbal skills. Actual experience in scheduling, executing, and maintaining in house systems and business processes as well as quality control analysis and comprehensive testing and reporting is required.

This is a one-year contract position providing backfill support for the Student Information System Enterprise System Renewal (SIS ESR) with high likelihood for a multiple year commitment.

~ Cover letter highly recommended for a complete application.

QUALIFICATIONS

1. Bachelor's degree in related area and 3 years of relevant experience, and / or combination of equivalent education / experience / training.

2. Thorough knowledge of business and process analysis functions. Demonstrated knowledge of financial aid business processes.

3. Thorough Knowledge of related areas of IT. Demonstrated superior understanding of logic, understanding of advanced computer systems and automated data processing and web based technology, including a general knowledge of current development and technology in the data processing/telecommunications field, knowledge of computer interface media, data communication and their data formatting, storage, transporting, and backup capabilities.

4. Strong skills and knowledge of methodologies associated with analysis of processes and problems, information flow and architecture.

5. In-depth understanding and skill in process and systems requirement documentation standards, such as Use Case modeling, User Story creations and narrative description.

6. Demonstrated ability to work with others from diverse backgrounds.

7. Thorough knowledge of business processes and procedures. Ability to consult with, understand and interpret users' data needs and develop new business processes using third party software to meet those needs. (For example, analysis, projection studies and statistical reports.)

8. Demonstrated testing and test planning skills. Demonstrated experience with difficult beta testing and quality assurance for program/module enhancements and modifications to support complex financial aid business processes.

9. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization. Interpersonal and communications skills to work with both technical and non-technical personnel at various levels in the organization. Ability to train users in a positive and thorough manner on the use of software support tools, automated systems, data transfer and IBM mainframe access. Excellent interpersonal skills including tact, diplomacy, and flexibility to communicate in a helpful, effective and informative manner in person, by telephone, and by email.

10. Strong technical knowledge and experience in the development, implementation and maintenance of administrative and student service information systems in a pc-based network environment.

11. Proven project leadership ability and experience in organizing the work of several staff engaged in the development, implementation and maintenance of sophisticated networked applications.

12. Demonstrated experience in quality control processes and analytical review of data and processes to ensure accuracy of outcomes.

13. Knowledge of student information systems and related financial systems that are required to deliver mission critical services.

14. Demonstrated knowledge of their party tools such as SQL and Access.

15. Demonstrated ability to adapt to frequent interruptions and a fluctuating workload, including the ability to work under pressure to meet deadlines while handling multiple priorities.

SPECIAL CONDITIONS

• Duties may require direct contact with children (defined as individuals under the age of 18). Completion of the Child Abuse and Neglect Reporting Act (CANRA) form is required.

• Job offer is contingent upon a satisfactory clearance based on background check results.

• The ideal candidate will thrive in a fast-paced environment where expectations for performance and productivity are high.

• Available to work evenings/weekends during peak periods; some domestic travel may be expected.

• Cover letter highly recommended for a complete application.

• UC San Diego Policy will not allow this Staff position to receive work visa sponsorship.

Pay Transparency Act

Annual Full Pay Range: 79,200 - 143,400 (will be prorated if the appointment percentage is less than 100%)

Hourly Equivalent: 37.93 - 68.68

Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable).

Apply Now

If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.

To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community.

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

For the University of California's Anti-Discrimination Policy, please visit:

UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information.

Apply

As a Process Data Architect , you will be responsible as a SQL Server Administrator, Data Engineer, and Data Scientist. You will be responsible for the installation, configuration, maintenance, and performance tuning of SQL Server databases, as well as designing, implementing, and maintaining ETL pipelines, and conducting data analysis to support data-driven decision-making. You will ensure the availability, security, and integrity of database environments, support both application development and operational needs, and utilize data science methodologies to extract insights from large datasets. The position also involves collaborating with various teams to provide strategic insights into database architecture, optimization, and predictive modeling.

Who are we?

This is a great opportunity to join a growth-oriented company within the aerospace industry that has been in business for over 100 years! We specialize in manufacturing aluminum and magnesium products for commercial, regional, corporate and military aircraft and engines.

What will you do?

• Database Administration: Install and configure SQL Server instances in line with best practices and security standards. Perform regular database maintenance tasks such as backups, indexing, and updates to maintain database health.
• Data Engineering: Design, implement, and maintain efficient ETL pipelines to ensure seamless data flow between systems. Integrate data from multiple sources and ensure the architecture supports both operational and analytical workloads.
• Data Science & Analytics: Conduct exploratory data analysis, develop predictive models, and deliver actionable insights from complex datasets. Use machine learning algorithms to identify trends, forecast outcomes, and drive business decisions.
• Optimization & Performance: Monitor database performance and implement optimization strategies to enhance efficiency and security. Tune queries and database structures to ensure optimal performance for both real-time and batch data processes.
• Security & Compliance: Design and maintain disaster recovery plans and high availability solutions, regularly testing these systems to ensure reliability. Implement and monitor security protocols to safeguard data integrity and ensure compliance with industry standards.
• Collaboration: Work closely with application developers, system administrators, data analysts, and other stakeholders to address database-related needs, provide technical support, and align data models with business goals.
• Documentation & Reporting: Maintain documentation of database configurations, data pipelines, processes, and procedures. Generate reports on database performance, ETL pipeline metrics, and data science outcomes for management review.

What will make you successful?

• Bachelor's degree in computer science, Data Science, Information Technology, or a related field. Equivalent work experience in both SQL Server administration and data science may be considered.
• Minimum of 2-5 years of experience in SQL Server database administration, with expertise in SQL Server 2016/2017/2019/2022 environments.
• Proven experience as a Data Engineer or Data Scientist, with hands-on experience in data pipeline design and advanced data analysis.
• Proficiency in Transact-SQL (T-SQL) scripting.
• Experience in performance tuning, query optimization, and troubleshooting.
• Strong knowledge of SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), and SQL Server Analysis Services (SSAS).
• Experience with cloud-based database solutions, particularly Azure SQL Database.
• Expertise in programming languages such as Python or C#, and experience with data visualization tools.
• Solid understanding of database security principles and data engineering best practices.
• Experience with machine learning algorithms and statistical modeling.
• Experience and working knowledge of Ignition and Ignition SQL
• Experience and skills to ensure quality and integrity of large data sets including identification and resolution of data inconsistencies and errors
• Experience and working knowledge of SAS Viya database requirements and VA and VS analytics. Experience in writing, optimizing and maintaining SAS scripts for data processing and reporting preferred.
• Strong analytical and problem-solving skills with the ability to navigate, manage, and troubleshoot large datasets.
• Excellent communication and teamwork abilities, with the capacity to work cross-functionally.
• Detail-oriented with a focus on continuous improvement and innovation in both database management and data science methodologies.

What do we have to offer?

• Salary $100,000.00-$125,000.00
• 5% quarterly bonus potential
• Positive and collaborative work environment
• Flexible schedule
• Paid training
• Educational Assistance
• 401K with match
• PTO

Consolidated Precision Products (CPP) is an industry-leading manufacturer of highly engineered components and sub-assemblies, supplying the commercial aerospace, military and industrial markets with small-to-large "function critical" products. CPP provides its customers with a "total solution" source, taking them from concept to finished product with one of the broadest and most diverse product offerings in the industry. More information about our company can be found at: />
Sponsorship is not available for this role. Candidates must be legally authorized to work in the U.S. on a permanent and consistent basis without company sponsorship now and in the future.

This position requires use of information or access to hardware which is subject to the International Traffic in Arms Regulations (ITAR). All applicants must be U.S. persons within the meaning of ITAR. ITAR defines a U.S. person as a U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee.

CPP Corporation is an Equal Opportunity Employer that recruits, hires, trains, and promotes employees in all job classifications without regard to race, color, religion, age, sex, sexual orientation, gender identity, marital status, national origin, disability, veteran's status, or other legally protected status.

This is a non-management position
This is a full time position

Job Description:

Machine Learning/Vision Specialist - Process Data Scientist

Collaborate with Innovative 3Mers Around the World

Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company you choose to work at, and its leaders, will support and guide you. With a diversity of people, global locations, technologies, and products, 3M is a place where you can collaborate with other curious, creative 3Mers.

This position provides an opportunity to transition from other private, public, government, or military experience to a 3M career.

The Impact You'll Make in this Role

As a Machine Learning/Vision Specialist - Process Data Scientist, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:

• Integrating diverse data sources into a cohesive analysis framework using industry best practices and documentation.

• Driving advanced model adoption through rigorous understanding of the state-of-the-art data science methodologies.

• Collaborating with the Corporate Research Process Lab to develop and implement advanced algorithms for new process development of films, adhesives, nonwovens, and other high-value articles.

• Designing and integrating advanced data analytics schemes which may include predictive modeling, nonlinear analysis, sensor data integration, and machine vision techniques.

• Driving successful technology scale-up from laboratory to manufacturing and assisting with troubleshooting process and product quality issues.

• Effectively documenting, communicating, and disseminating research results through the framework of 3M's new technology and product introduction programs.

• Providing data science and machine vision expertise to support manufacturing operations and transfer technology to 3M's technical community through consulting and teaching.

Your Skills and Expertise

To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:

• Bachelor's degree or higher in Chemical Engineering, Mechanical Engineering, Computer Science, Data Science, or Machine Learning/AI (completed and verified prior to start) from an accredited university.

Additional qualifications that could help you succeed even further in this role include:

• A Master's or Ph.D. degree with demonstrated expertise in machine learning, data science, and machine vision.

• Strong understanding of data science techniques and theory, including machine vision. Ability to integrate diverse data sources into a cohesive analysis framework using industry best practices and documentation.

• Over 3 years of experience in machine learning, data science, and machine vision in a private, public, government, or military environment.

• Evidence of strong, hands-on skills with industrial data analysis including experience with data integration, programming, machine learning models, and machine vision systems.

• Experience with a wide range of programming languages including Python and C++.

• Skills relating to the following: machine learning model development, machine vision systems, open source software development, Linux, GitHub, cloud computing.

• Excellent interpersonal skills and the ability to excel in cross-functional environments.

Work location:

• On site in Woodbury, MN

Travel: May include up to 10% domestic

Relocation Assistance: May be authorized

Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

Supporting Your Well-being

3M offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.

Chat with Max

For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.

Applicable to US Applicants Only:The expected compensation range for this position is $141,150 - $172,517, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at:

Good Faith Posting Date Range 07/14/2025 To 08/13/2025 Or until filled

All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.

Learn more about 3M's creative solutions to the world's problems at or on Instagram, Facebook, and LinkedIn @3M.

Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.

Pay & Benefits Overview:

3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.

Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.

3M Global Terms of Use and Privacy Statement

Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms.

Please access the linked document by clicking here ( , select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.

At 3M we apply science in collaborative ways to improve lives daily as our employees connect with customers all around the world. Learn more about 3M's creative solutions to global challenges at or on Twitter @3M or @3MNews.

3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.

**Job Description:**
Machine Learning/Vision Specialist - Process Data Scientist
**Collaborate with Innovative 3Mers Around the World**
Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company you choose to work at, and its leaders, will support and guide you. With a diversity of people, global locations, technologies, and products, 3M is a place where you can collaborate with other curious, creative 3Mers.
This position provides an opportunity to transition from other private, public, government, or military experience to a 3M career.
**The Impact You'll Make in this Role**
As a Machine Learning/Vision Specialist - Process Data Scientist, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:
+ Integrating diverse data sources into a cohesive analysis framework using industry best practices and documentation.
+ Driving advanced model adoption through rigorous understanding of the state-of-the-art data science methodologies.
+ Collaborating with the Corporate Research Process Lab to develop and implement advanced algorithms for new process development of films, adhesives, nonwovens, and other high-value articles.
+ Designing and integrating advanced data analytics schemes which may include predictive modeling, nonlinear analysis, sensor data integration, and machine vision techniques.
+ Driving successful technology scale-up from laboratory to manufacturing and assisting with troubleshooting process and product quality issues.
+ Effectively documenting, communicating, and disseminating research results through the framework of 3M's new technology and product introduction programs.
+ Providing data science and machine vision expertise to support manufacturing operations and transfer technology to 3M's technical community through consulting and teaching.
**Your Skills and Expertise**
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
+ Bachelor's degree or higher in Chemical Engineering, Mechanical Engineering, Computer Science, Data Science, or Machine Learning/AI (completed and verified prior to start) from an accredited university.
Additional qualifications that could help you succeed even further in this role include:
+ A Master's or Ph.D. degree with demonstrated expertise in machine learning, data science, and machine vision.
+ Strong understanding of data science techniques and theory, including machine vision. Ability to integrate diverse data sources into a cohesive analysis framework using industry best practices and documentation.
+ Over 3 years of experience in machine learning, data science, and machine vision in a private, public, government, or military environment.
+ Evidence of strong, hands-on skills with industrial data analysis including experience with data integration, programming, machine learning models, and machine vision systems.
+ Experience with a wide range of programming languages including Python and C++.
+ Skills relating to the following: machine learning model development, machine vision systems, open source software development, Linux, GitHub, cloud computing.
+ Excellent interpersonal skills and the ability to excel in cross-functional environments.
**Work location:**
+ **On site in Woodbury, MN**
**Travel: May include up to 10% domestic**
**Relocation Assistance: May be authorized**
**Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).**
**Supporting Your Well-being**
3M offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.
**Chat with Max**
For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.
Applicable to US Applicants Only:The expected compensation range for this position is $141,150 - $172,517, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: Faith Posting Date Range 07/14/2025 To 08/13/2025 Or until filled
All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.
Learn more about 3M's creative solutions to the world's problems at or on Instagram, Facebook, and LinkedIn @3M.
Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.
Pay & Benefits Overview: does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.
**Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.**
**3M Global Terms of Use and Privacy Statement**
Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms.
Please access the linked document by clicking here ( , select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.
At 3M we apply science in collaborative ways to improve lives daily as our employees connect with customers all around the world. Learn more about 3M's creative solutions to global challenges at or on Twitter @3M or @3MNews.
3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.

Overview
**Your Future at M.C. Dean**
We're seeking people driven to excellence and inspired to have a meaningful impact powering, automating, integrating, and securing the world's most critical infrastructure and facilities. This translates into fulfilling opportunities for employees driven to excel in a meaningful career. As an employee at M.C. Dean, you will join forces with more than 5,800 professionals who engineer and deploy automated, secure and resilient power and technology systems; and deliver the management platforms essential for long-term system sustainability. Together, we transform the way complex, large-scale systems are designed, delivered, and sustained-enhancing client outcomes, improving lives, and changing the world for the better.
We are seeking an **Operational Process & Data Analyst 5** to join our Security and Electronic Systems (SES) business Unit. As part of (SES) Strategic Business Unit you will be part of a team that designs, engineers, integrates, operates and maintains electronic security services inclusive of intrusion detection, access control, biometric authentication, video surveillance, audio visual, it systems, perimeter defense and command and control systems for federal, local and commercial customers across high-growth markets.
Responsibilities
+ Drive/significantly contribute to and collaborate with team members on a variety of analytical, product development, implementation, training, and customer critical event efforts. Customers will include Federal, commercial, and internal customers.
+ Support establishing client relationships, assessing client issues and proposing project solutions; review, coordinate, and summarize client correspondence to assist the project leadership's understanding of client priorities, scope changes, deadlines, and deliverables; use this experience to develop project leadership skills and assume those responsibilities.
+ Structure and conduct research - open source and enclave specific; intent to understand emerging directives, mission requirements, and compliance requirements. Specific research emphasis will be on emerging Federal/Intelligence Community/Department of Defense emerging requirements around technology and cybersecurity.
+ Perform requirements analysis and problem-framing to establish the foundation for follow-on analysis and efforts.
+ Develop operational concepts and requirements that can be translated into technical requirements.
+ Analyze, document, and implement changes to processes and procedures.
+ Analyze, document, and support implementation of changes to organizational constructs and training methods.
+ Plan and conduct data collection, data analysis, and decision support activities; including interaction with customers and industry stakeholders.
+ Prepare documentation, reports, and presentations defining problems, evaluation, and possible/recommended concepts or solutions-recommendations could be across operations, processes, personnel/staffing, training, materiel solutions, policy, etc.
+ Perform descriptive, inferential, and/or predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
+ Support implementation of proposed recommendations.
+ Support planning and facilitation of training/education, as required, around implemented concepts.
+ Professionally interact with leadership and staff personnel in both industry and government settings.
+ Create and maintain dashboards, reports, and visualizations to communicate insights and recommendations to customers and internal stakeholders
+ Conduct research and benchmarking to provide context and best practices for data analysis and interpretation
+ Collaborate with team members across disciplines and customer/business partners to understand their data needs and provide solutions that support their goals and initiatives.
+ Ensure data quality, accuracy, and compliance with applicable standards.
+ Work independently on designated or special projects; direct other team members as required during analysis and implementation efforts.
+ Plan and prepare Plan of Actions & Milestones (POA&Ms) for implementation of proposed recommendations.
+ Think creatively and communicate thoughts both in terms of structured narrative and visual graphics.
Qualifications
**Clearance/Citizen Type:** Applicants selected will be subject to a government security investigation and must meet eligibility requirements, including U.S. Citizenship, for access to classified information; **ACTIVE TS/SCI Clearance is REQUIRED with the ability to obtain a TS/SCI w/ POLY**
**Key Requirements:**
+ Bachelor's degree with 10+ years of experience; Master's degree with 7+ years of experience is preferred.
+ Proficiency with MS Office suite, specifically MS Word, MS Excel, and MS PowerPoint.
+ Demonstrated management consulting experience.
+ Demonstrated mastery of research techniques.
+ Demonstrated experience building training or education materials and facilitating learning sessions.
+ Experience working with Department of Defense customers and demonstrated experience with Department of Defense or similar federal doctrine and guidance.
+ Demonstrated process analysis/re-engineering experience; process development certification desired (e.g., Lean Six Sigma).
+ Demonstrated experience creating Standard Operating Procedures (SOPs), user guides, work instructions, policies, etc.
+ Demonstrated descriptive, inferential, and predictive data analysis using Excel, SQL, R, Python, Power BI, Tableau, or similar.
+ Strong writing skills.
+ Demonstrated experience and application of systems architecture frameworks (e.g., TOGAF, DODAF, FEAF, etc.).
**What we offer:**
+ A collaborative team inspired by the way engineering and innovation enhance customer outcomes, improve lives, and change the world for the better. We are driven by our core values of agility, expertise, and trust.
+ An opportunity to lead and build a business with the support of an industry-leading firm that has been in business for 75 years.
+ Investment in your skills and expertise through a combination of professional and technical training programs, including leadership training and tuition reimbursement.
+ Open and transparent communication with senior leadership as well as local office management.
**Abilities:**
+ Exposure to computer screens for an extended period of time.
+ Sitting for extended periods of time.
+ Reach by extending hands or arms in any direction.
+ Have finger dexterity in order to manipulate objects with fingers rather than whole hands or arms, for example, using a keyboard.
+ Listen to and understand information and ideas presented through spoken words and sentences.
+ Communicate information and ideas in speaking so others will understand.
+ Read and understand information and ideas presented in writing.
+ Apply general rules to specific problems to produce answers that make sense.
+ Identify and understand the speech of another person.
**Travel:**
+ Travel outside the Washington, DC Metro Area is limited to 5% annual.
Pay Range
USD $149,840.00 - USD $224,760.00 /Yr.

Overview

NISA Investment Advisors, LLC (NISA) offers customized investment solutions for tax-exempt and taxable institutional clients. NISA manages over $285 billion in fixed income and equity securities and over $159 billion in derivative notional value. We seek bright, motivated individuals who can contribute to our growing team of professionals. Candidates with a high degree of independent thinking skills, strong analytical and quantitative skills, and team playing abilities are encouraged to apply.

Responsibilities

The Data Engineer, Data Management is a member of NISA's Data Engineering team responsible for creating, updating, and supporting ETL/ELT data pipelines for a variety of stakeholders across the enterprise. They will define, design, develop, unit test, and support new and existing solutions to meet complicated and time-sensitive business requirements. In addition, the Data Engineer supports and manages high-severity production incident resolution, performs code reviews, and participates in on-call rotations. They should be comfortable working in a fast-paced team environment and have the skills to troubleshoot and resolve data integration issues independently.

Qualifications

• Bachelors degree in Computer Science or a related field or relevant work experience required
• 3+ years of experience with ETL/ELT
• 3+ years of experience with SQL
• Experience with Python, C#, or similar high-level language
• Experience with AWS, AWS Lambda, S3, Airflow, and related technologies
• Professional work experience with Databricks or PySpark
• Demonstrated team player who works well in a fast-paced environment and can adapt to changing priorities, demands, and timelines
• Strong analytical and innovative problem-solving skills, along with a solid attention to detail
• Excellent customer support skills

Preferred Experience

• Microsoft SQL Server database development
• SSIS development
• Working knowledge of BPA Automate or a similar business automation tool
• Developing software in an Agile environment

NISA's culture encourages collaboration and innovation. We seek self-motivated, intellectually curious individuals willing to push themselves and others in an environment that celebrates fresh thinking. We equip employees with the resources needed to excel and we encourage personal development. NISA is dedicated to internally cultivating and rewarding talent. Employees at NISA are provided with a wide range of benefits, including health, dental, vision and life insurance options, paid time off, a competitive retirement plan, onsite cafeteria, fitness center, a health and wellness program and an educational assistance program.

NISA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Job Details
Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

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