6 Research Strong Worchester jobs in Columbus

Job Description

Work Arrangement

Remote: This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

The Role

The Lead Data Science Statistician - AV Safety Data Analysis will drive the statistical methods used to development and evaluation of autonomous vehicle (AV) performance safety metrics ranging from straightforward to advanced machine learning outputs. This position is part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department in the Global Product Safety, System, and Certification (GPSSC) organization. The SAFE-ADS department serves as the central body for automated driving system (ADS) safety. GM's vision is zero crashes, zero emissions, and zero congestion - AV safety is at the heart of driving forward this vision. If you seek to solve complex data science challenges and see your work drive positive safety change, this role is for you.

The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve. They will have experience in automative, safety, and/or robotic industries and understand how to integrate physics and engineering into the foundational statistical methods and approaches. The technical leader is a self-starter and comfortable solving ambiguous problems. They are passionate about data and creating valuable insights that drive continuous safety improvements and confidence in the system.

As a technical leader in the SAFE-ADS data science team, you will provide robust statistical expertise and guidance, weigh alternatives, and explain the different approaches to senior leaders. You will address safety assurance related questions related to ADS behavioral performance and validation. This role involves working with large-scale data generated by the ADS system. One of the key elements is to scale data science work and accelerating time-to-delivery in insights which requires the integration of physics and engineering principles. As a leader, you'll play a key role in defining and advancing GM's AV quantitative measurement and risk assessment efforts. Your work will contribute to enhancing and scaling our existing safety risk assessment framework and help to ensure coverage of our operational design domain, foundational components of the overall safety case that guides decision-making and drives engineering across the entire AV technology stack.

What You'll Do (Responsibilities)

• Develop and standardize best practices of statistical estimations and uncertainty model for use in ADS safety risk assessment framework

• Work with the team to develop and implement scalable ADS performance measurement solutions to help ensure safe and compliant on-road behavior and build confidence in the results

• Use an iterative method of development to share early results, identify emerging risks, and provide ongoing guidance

• Assess bias estimation and subsampling strategies used by system engineering

• Support Data Engineering and Software & Services (S&S) in the develop and automate pipelines and tooling of the measurement and risk framework

• Conduct statistical analysis to evaluate ADS driving software aggregate measures

• Raise the bar for on-road safety by continuously improving safety and AV measurement, and developing a feedback loop for software improvements

• Collaborate across various AV development teams, including GPSSC, S&S, Data Engineering, and Legal organizations

• Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team and cross-functionally

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate

Your Skills & Abilities (Required Qualifications)

• M.S. degree in quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)

• 8+ minimum years of overall relevant experience, 5 years of which should be experience as a Data Scientist and/or Statistician in a corporate or government setting

• Expertise in statistical modeling, machine learning and/or deep learning techniques

• Prior experience with causal inference using instrumented variables and other forms of multifactor attribution methods

• Expertise generating insights from multiple large-scale datasets

• Proficiency in SQL and Python

• Experience with data visualization tools and techniques

• Collaborative team player and excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders

• Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems

What Will Give You a Competitive Edge (Preferred Qualifications)

• PhD in a quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)

• Experience in safety, automotive, or robotics data science is preferred

Compensation:

• The expected base compensation for this role is $160,200- $245,400 USD Annually

• Actual base compensation within the identified range will vary based on factors relevant to the position

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance

Benefits:

GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources ( .

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:

Our Company (

Our Culture

How we hire? (

Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.

Explore our global locations (

We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.

Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.

The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Data Analysis and Simulation Co-op/Intern- Summer 2026

This job description reflects potential openings for the Summer 2026 Co-op/Internship Session (May-August). This is a general job description and represents multiple openings in various departments. Honda offers both single and multi-semester co-ops and internships. College students must apply to the requisition pertaining to their major and semester of interest.

Please note: Sponsorship for employment visa status for these positions is unavailable. Applicants requiring sponsorship for employment visa status now or in the future (e.g., F-1 CPT/OPT, H-1B, TN, etc.) will not be considered.

More about the Data Analysis and Simulation Co-op/ Intern at Honda

The below descriptions reflect potential environments and duties within our various Engineering Data Analytics Co-op/Intern positions that we offer. Work environments and projects may include but are not limited to:

Data Analysis and Simulation (Data Science, Machine Learning, Computational Modeling) :

• Develop and implement algorithms for data analysis, machine learning and simulation.
• Support design, test, and new model groups with data-driven insights and predictive modeling.
• Conduct computational simulations to predict material and part behavior and perfor mance.
• Collect, organize, an d anal yze large datasets to identify trends and correlations.
• Summarize analysis re sults in report form and present findings to internal or external stakeholders.
• Analyze current processes and identify automation or coding solutions for process improvement.
• Collaborate with cross-functional teams to integrate modeling results into product development

What you need to be successful in this role

Required :

• Legally authorized to work in the U.S. without sponsorship • Basic Business coursework
• Minimum 2.5 Cumulative GPA or higher (You will be required to provide your current transcript)
• Class status- Sophomore (by credit hour) or above
• Availability to work a minimum of 10 weeks at 40 hours per week
• Enrollment in a Bachelor's or Master's degree program studying Computer Science, Materials Science Engineering, Data Science
• Valid U.S. Driver's License (exceptions considered on a case-by-case basis)
• Ability to sec ure own transportation to and from work each day
  • *Public transportation an d ride share services are limited in some of our locations. Co-ops are responsible for securing their own transportation to and from work each day, and must have a reliable plan for transportation in order to be eligible for a position. Regular in-person attendance is required, and transportation issues will not be excused.

Desired :

• Computer Science, Information Systems, Data Science and Analytics, Data Engineering, Programming, Statistics, Artificial Intelligence, Materials Science, Machine Learning, Finite Element Analysis

Position Location

Data Analysis and Simulation Co-op/ Intern positions are offered in the cities/ states listed below, if you are selected to move forward in the process, you will be given the opportunity to make selections on your location preferences:

• Raymond, Ohio (45 minutes northwest of Columbus, Ohio)
• Marysville, Ohio (45 minutes northwest of Columbus, Ohio)

Honda Co-operative and Learning Internships Program Benefits

Housing Accommodations: Honda offers housing at a shared cost or a housing stipend based on location for our Co-ops and Interns. It is not required to opt-in to but is available should you need housing at the time of your Co-op/ Internship with Honda.

Textbook Reimbursement : If applicable.

Honda Business Resource Groups : One of the ways Honda gives diversity a voice is through its business resource groups. The associate-led, company-supported groups have members aligned across different dimensions of diversity such as gender, ethnicity, ability, life stage and experiences. The groups provide networking opportunities, a chance to give back and professional development. Some groups have even given feedback on Honda

products, making them more appealing to all. Embracing all views is what will drive us into the future. Honda wants passionate, driven people to be a part of that future.

Performance Feedback: Honda Co-ops and Interns will have the opportunity to receive informal and formal feedback from their leaders, ask questions and express future interest in a scheduled mid-term and final evaluation.

Mentorship: Each Co-op/ Intern is assigned a mentor in your department to help you navigate your time at Honda.

On-site Wellness Center: Co-ops and Interns have access to join our Wellness Centers (varies by location). Our Wellness Centers are full gyms equipped with cardio machines, weights, basketball courts, pools, dieticians, personal trainers and group fitness classes.

Paid overtime: Co-ops and Interns will receive 1.5 times their hourly rate of pay for any overtime worked.

Hourly Wage Range: $23.35-$30.21

Pay will be based on several variables that include, but not limited to, geographic location, work experience, education, etc.

Consideration for full time employment: Our Cooperative Learning Internships program is utilized as a talent pipeline for our full-time positions!

Additional details regarding Honda Co-op and Intern benefits are provided upon offer.

**Job Description**
**Work Arrangement**
**Remote:** This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager.
**Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**The Role**
The Lead Data Science Statistician - AV Safety Data Analysis will drive the statistical methods used to development and evaluation of autonomous vehicle (AV) performance safety metrics ranging from straightforward to advanced machine learning outputs. This position is part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department in the Global Product Safety, System, and Certification (GPSSC) organization. The SAFE-ADS department serves as the central body for automated driving system (ADS) safety. GM's vision is zero crashes, zero emissions, and zero congestion - AV safety is at the heart of driving forward this vision. If you seek to solve complex data science challenges and see your work drive positive safety change, this role is for you.
The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve. They will have experience in automative, safety, and/or robotic industries and understand how to integrate physics and engineering into the foundational statistical methods and approaches. The technical leader is a self-starter and comfortable solving ambiguous problems. They are passionate about data and creating valuable insights that drive continuous safety improvements and confidence in the system.
As a technical leader in the SAFE-ADS data science team, you will provide robust statistical expertise and guidance, weigh alternatives, and explain the different approaches to senior leaders. You will address safety assurance related questions related to ADS behavioral performance and validation. This role involves working with large-scale data generated by the ADS system. One of the key elements is to scale data science work and accelerating time-to-delivery in insights which requires the integration of physics and engineering principles. As a leader, you'll play a key role in defining and advancing GM's AV quantitative measurement and risk assessment efforts. Your work will contribute to enhancing and scaling our existing safety risk assessment framework and help to ensure coverage of our operational design domain, foundational components of the overall safety case that guides decision-making and drives engineering across the entire AV technology stack.
**What You'll Do (Responsibilities)**
+ Develop and standardize best practices of statistical estimations and uncertainty model for use in ADS safety risk assessment framework
+ Work with the team to develop and implement scalable ADS performance measurement solutions to help ensure safe and compliant on-road behavior and build confidence in the results
+ Use an iterative method of development to share early results, identify emerging risks, and provide ongoing guidance
+ Assess bias estimation and subsampling strategies used by system engineering
+ Support Data Engineering and Software & Services (S&S) in the develop and automate pipelines and tooling of the measurement and risk framework
+ Conduct statistical analysis to evaluate ADS driving software aggregate measures
+ Raise the bar for on-road safety by continuously improving safety and AV measurement, and developing a feedback loop for software improvements
+ Collaborate across various AV development teams, including GPSSC, S&S, Data Engineering, and Legal organizations
+ Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team and cross-functionally
**This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate**
**Your Skills & Abilities (Required Qualifications)**
+ M.S. degree in quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
+ 8+ minimum years of overall relevant experience, 5 years of which should be experience as a Data Scientist and/or Statistician in a corporate or government setting
+ Expertise in statistical modeling, machine learning and/or deep learning techniques
+ Prior experience with causal inference using instrumented variables and other forms of multifactor attribution methods
+ Expertise generating insights from multiple large-scale datasets
+ Proficiency in SQL and Python
+ Experience with data visualization tools and techniques
+ Collaborative team player and excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders
+ Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems
**What Will Give You a Competitive Edge** **(Preferred Qualifications)**
+ PhD in a quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
+ Experience in safety, automotive, or robotics data science is preferred
**Compensation:**
+ The expected base compensation for this role is $160,200- $245,400 USD Annually
+ Actual base compensation within the identified range will vary based on factors relevant to the position
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
**Benefits:**
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Data Management and Analysis Co-op/Intern - Spring 2026

This job description reflects potential openings for the Spring 2026 Co-op/Internship Session (January-April) . This is a general job description and represents multiple openings in various departments. Honda offers both single and multi-semester co-ops and internships. College students must apply to the requisition pertaining to their major and semester of interest.

More about the Data Management and Analysis Co-op/ Intern at Honda

The below descriptions reflect potential environments and duties within our various Data Management and Analysis Co-op/ Intern positions that we offer. Work environments and projects may include but are not limited to:

Manufacturing

• Working with various manufacturing departments and production control teams to develop required reports for department project roll-outs
• Interface with appropriate upper management and production leadership to determine musts and wants for project data and reporting functions
• Design, create and issue appropriate production associate reporting paperwork within the International Organization for Standardization (ISO) framework for areas as needed
• Support development of operation standards and/ or training materials for project implementation

What you need to be successful in this role

Required :

• Basic Business coursework
• Minimum 2.5 Cumulative GPA or higher (You will be required to provide your current transcript)
• Class status- Sophomore (by credit hour) or above
• Availability to work a minimum of 10 weeks at 40 hours per week
• Enrollment in a Bachelor's or Master's degree program studying Data Analytics, Business, or related field
• Valid U.S. Driver's License (exceptions considered on a case-by-case basis)
• Ability to secure own transportation to and from work each day
  • *Public transportation and ride share services are limited in some of our locations. Co-ops are responsible for securing their own transportation to and from work each day, and must have a reliable plan for transportation in order to be eligible for a position. Regular in-person attendance is required, and transportation issues will not be excused.

Desired :

• Programming with languages like Python, R or Java, Data Management or modeling, Data Mining, Visual Analytics, Statistics

Position Locations

Data Analytics Co-op/ Intern positions are offered in the cities/ states listed below, if you are selected to move forward in the process, you will be given the opportunity to make selections on your location preferences:

• Marysville, Ohio (45 minutes northwest of Columbus, Ohio)
• Raymond, Ohio (45 minutes northwest of Columbus, Ohio)
• Greensburg, Indiana (55 minutes southeast of Indianapolis, Indiana and 60 minutes northwest of Cincinnati, Ohio)
• East Liberty, Ohio (55 minutes northwest of Columbus, Ohio)
• Troy, Ohio (30 minutes north of Dayton, Ohio)
• Lincoln, Alabama (45 minutes northeast of Birmingham, Alabama)
• Torrance, California (30 minutes south of Downtown Los Angeles, California)

Honda Co-operative and Learning Internships Program Benefits

Housing Accommodations: Honda offers housing at a shared cost or a housing stipend based on location for our Co-ops and Interns. It is not required to opt-in to but is available should you need housing at the time of your Co-op/ Internship with Honda.

Textbook Reimbursement: If applicable.

Honda Business Resource Groups: One of the ways Honda gives diversity a voice is through its business resource groups. The associate-led, company-supported groups have members aligned across different dimensions of diversity such as gender, ethnicity, ability, life stage and experiences. The groups provide networking opportunities, a chance to give back and professional development. Some groups have even given feedback on Honda products, making them more appealing to all. Embracing all views is what will drive us into the future. Honda wants passionate, driven people to be a part of that future.

Performance Feedback: Honda Co-ops and Interns will have the opportunity to receive informal and formal feedback from their leaders, ask questions and express future interest in a scheduled mid-term and final evaluation.

Mentorship: Each Co-op/ Intern is assigned a mentor in your department to help you navigate your time at Honda.

On-site Wellness Center: Co-ops and Interns have access to join our Wellness Centers (varies by location). Our Wellness Centers are full gyms equipped with cardio machines, weights, basketball courts, pools, dieticians, personal trainers and group fitness classes.

Paid overtime: Co-ops and Interns will receive 1.5 times their hourly rate of pay for any overtime worked.

Hourly Wage Range: $23.35-$30.21

Pay will be based on several variables that include, but not limited to, geographic location, work experience, education, etc.

Consideration for full time employment: Our Cooperative Learning Internships program is utilized as a talent pipeline for our full-time positions!

Additional details regarding Honda Co-op and Intern benefits are provided upon offer.

Data Management and Analysis Co-op/Intern - Summer 2026

This job description reflects potential openings for the Summer 2026 Co-op/Internship Session (May-August). This is a general job description and represents multiple openings in various departments. Honda offers both single and multi-semester co-ops and internships. College students must apply to the requisition pertaining to their major and semester of interest.

More about the Data Management and Analysis Co-op/ Intern at Honda

The below descriptions reflect potential environments and duties within our various Data Management and Analysis Co-op/ Intern positions that we offer. Work environments and projects may include but are not limited to:

Manufacturing

• Working with various manufacturing departments and production control teams to develop required reports for department project roll-outs
• Interface with appropriate upper management and production leadership to determine musts and wants for project data and reporting functions
• Design, create and issue appropriate production associate reporting paperwork within the International Organization for Standardization (ISO) framework for areas as needed
• Support development of operation standards and/ or training materials for project implementation

What you need to be successful in this role

Required :

• Basic Business coursework
• Minimum 2.5 Cumulative GPA or higher (You will be required to provide your current transcript)
• Class status- Sophomore (by credit hour) or above
• Availability to work a minimum of 10 weeks at 40 hours per week
• Enrollment in a Bachelor's or Master's degree program studying Data Analytics, Business, or related field
• Valid U.S. Driver's License (exceptions considered on a case-by-case basis)
• Ability to secure own transportation to and from work each day
  • *Public transportation and ride share services are limited in some of our locations. Co-ops are responsible for securing their own transportation to and from work each day, and must have a reliable plan for transportation in order to be eligible for a position. Regular in-person attendance is required, and transportation issues will not be excused.

Desired :

• Programming with languages like Python, R or Java, Data Management or Modeling, Data Mining, Visual Analytics, Statistics

Position Locations

Data Analytics Co-op/ Intern positions are offered in the cities/ states listed below, if you are selected to move forward in the process, you will be given the opportunity to make selections on your location preferences:

• Marysville, Ohio (45 minutes northwest of Columbus, Ohio)
• Raymond, Ohio (45 minutes northwest of Columbus, Ohio)
• Greensburg, Indiana (55 minutes southeast of Indianapolis, Indiana and 60 minutes northwest of Cincinnati, Ohio)
• Torrance, California (30 minutes south of Downtown Los Angeles, California)

Honda Co-operative and Learning Internships Program Benefits

Housing Accommodations: Honda offers housing at a shared cost or a housing stipend based on location for our Co-ops and Interns. It is not required to opt-in to but is available should you need housing at the time of your Co-op/ Internship with Honda.

Textbook Reimbursement: If applicable.

Honda Business Resource Groups: One of the ways Honda gives diversity a voice is through its business resource groups. The associate-led, company-supported groups have members aligned across different dimensions of diversity such as gender, ethnicity, ability, life stage and experiences. The groups provide networking opportunities, a chance to give back and professional development. Some groups have even given feedback on Honda products, making them more appealing to all. Embracing all views is what will drive us into the future. Honda wants passionate, driven people to be a part of that future.

Performance Feedback: Honda Co-ops and Interns will have the opportunity to receive informal and formal feedback from their leaders, ask questions and express future interest in a scheduled mid-term and final evaluation.

Mentorship: Each Co-op/ Intern is assigned a mentor in your department to help you navigate your time at Honda.

On-site Wellness Center: Co-ops and Interns have access to join our Wellness Centers (varies by location). Our Wellness Centers are full gyms equipped with cardio machines, weights, basketball courts, pools, dieticians, personal trainers and group fitness classes.

Paid overtime: Co-ops and Interns will receive 1.5 times their hourly rate of pay for any overtime worked.

Hourly Wage Range: $23.35-$30.21

Pay will be based on several variables that include, but not limited to, geographic location, work experience, education, etc.

Consideration for full time employment: Our Cooperative Learning Internships program is utilized as a talent pipeline for our full-time positions!

Additional details regarding Honda Co-op and Intern benefits are provided upon offer.