10 Library Sciences jobs in the United States

Assistant Professor - Information Systems (Data Science Cluster)
**FACULTY VACANCY ANNOUNCEMENT**
**"At Baruch College we believe that student success is everyone's responsibility"**
The Zicklin School of Business at Baruch College, City University of New York, is seeking applicants for a full-time tenure-track faculty position in Information Systems in the Paul H. Chook Department of Information Systems and Statistics. The position is open only at the Assistant Professor level and begins in the Fall 2026 semester. Preference will be given to applicants who conduct research at the intersection of data science and cybersecurity. This position is part of an interdisciplinary cluster of faculty members with expertise in data sciences across Baruch's three schools (The Marxe School of Public and International Affairs, Weissman School of Arts and Science, and Zicklin School of Business). The department's IS division is highly ranked in research productivity in top journals (24th nationwide in 2024 based on publications at MISQ, ISR, JAIS and JMIS over the last three years).
The largest accredited collegiate school of business in the United States, Baruch College's Zicklin School of Business has earned a national and international reputation for excellence. It offers nationally ranked undergraduate, part-time, and full-time MBA programs, specialized masters, and doctoral programs. The Paul H. Chook Department of Information Systems and Statistics offers undergraduate majors and minors in Information Systems (IS) and in Statistics and Quantitative Modeling (SQM). It also offers four specialized MS degrees in IS, Business Analytics, Statistics, Quantitative Methods & Modeling, along with a PhD program in IS. It also provides courses for our MBA program.
**QUALIFICATIONS**
Applicants must either have or expect completion of Ph.D. in Information Systems or related fields. They should have a proven record or the potential for high-quality scholarly research leading to publications in premier peer-reviewed journals in Information Systems. They must also be able to teach various courses in the department, including, but not limited to, data science, cybersecurity, information assurance, ethical hacking, systems analysis and design, and programming, among others. Preference will be given to applicants who conduct research at the intersection of data science and cybersecurity.
**COMPENSATION**
$147,300- $162,300; commensurate with qualifications and experience
CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development.
**HOW TO APPLY**
Visit access the employment page, log in or create a new user account, and search for this vacancy using the Job ID or Title. Select "Apply Now" and provide the requested information.
Applicants must provide a cover letter, a current CV, a sample research paper, names of three references (with letters to be submitted at a later stage), and student course evaluations if available. Applicants are also required to submit a narrative statement describing their commitment to and experience with working effectively with faculty and staff, and teaching students in a pluralistic urban campus environment with a substantial population of students who are among the first generation of their family to attend a college or university.
**CLOSING DATE**
Open until filled. Review of applications will begin on October 1, 2025.
**JOB SEARCH CATEGORY**
CUNY Job Posting: Faculty
**EQUAL EMPLOYMENT OPPORTUNITY**
CUNY encourages people with disabilities, minorities, veterans and women to apply. At CUNY, Italian Americans are also included among our protected groups. Applicants and employees will not be discriminated against on the basis of any legally protected category, including sexual orientation or gender identity. EEO/AA/Vet/Disability Employer.
Job ID
30868
Location
Baruch College

Description
We are looking for a leader of AGI-and Nova led team in LLM technologies for applications across Alexa, AWS, and other Amazon businesses. In this role, you will innovate in the fastest-moving fields of current AI research, in particular in how to integrate a broad range of structured and unstructured information into AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products.
If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience managing high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all the way to production. You will work with other science and engineering teams as well as business stakeholders to maximize velocity and impact of your team's contributions.
It's an exciting time to be a leader in AI research. In Amazon's AGI Information team, you can make your mark by improving information-driven experience of Amazon customers worldwide!
Basic Qualifications
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Master's degree
Preferred Qualifications
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- PhD
- Familiarity with training and evaluating LLMs / Generative AI systems
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

At Polaris Inc., we have fun doing what we love by driving change and innovation. We empower employees to take on challenging assignments and roles with an elevated level of responsibility in our agile working environment. Our people make us who we are, and we create incredible products and experiences that empower us to Think Outside.

Digital & Information Technology - Predictive Data Science Internship - Summer 2026

Internship Program Overview
The Polaris D&IT Predictive Data Science Internship is a tailored 12-week paid summer internship designed for emerging juniors and seniors who are interested in pursuing a career in a leading global powersports industry.

As a D&IT Predictive Data Science Intern, you will create recommendations for complex business decisions using a wide variety of data science techniques-from exploratory data analysis to predictive analytics. In this track, you will develop advanced end-to-end analytics and technology solutions that drive value for Polaris and its customers.

You may interact with:
Analytics
You will work with Data Analysts and Modern Workplace teams to explore and interpret data, uncover insights, and support data-driven decision-making. This includes building dashboards, visualizations, and reports that communicate findings clearly to both technical and non-technical audiences.

Data Management
Collaborate with Technical Product Managers and Data Engineers to integrate, prepare, and manage large, varied datasets. You'll gain experience in data architecture, pipeline development, and the tools that support scalable data operations.

Data Science
Work alongside Data Scientists to design, build, and implement predictive models and machine learning algorithms. You'll contribute to production-ready solutions that enhance business performance and customer experience.

Internship Locations Include: Many D&IT Interns are based out of our corporate headquarters in Minneapolis, MN, but could also include Osceola, WI, Roseau, MN, Spirit Lake, IA, Huntsville, AL, Wyoming, MN, Battle Ground, WA, Wilmington, OH, & Vermillion, SD

As a Polaris intern it is important that you embrace the adventure and remain open to any placement opportunity. By being adaptable, you will gain diverse experiences and develop a broader skill set, which are essential for your professional development and success within Polaris.

Our internship program is crafted to build the foundational skills and experiences essential for your career success. Upon completing the internship, those who demonstrate exceptional performance and a strong passion for learning may be offered a returning internship or a position in our rotational leadership development program.

In addition to meaningful project work, you will participate in intentional programming and professional development offerings such as:

• Mentorship: you are paired with one of our DP associates for mentor support throughout your 12-weeks.
  

• Programming Hours: weekly functional and centralized learning sessions to broaden your knowledge base, both within and beyond your program.
  

• Networking - intentional time with peers and leaders at Polaris to build your professional network.
  

• Intern Innovation Challenge: internal case study designed to promote cross functional development where you and your team will present creative and practical solutions to a real 'Polaris' problem to our executive leadership.
  

• Early Talent Summit Week : participate in our 3-day event in our Wyoming, MN office. This immersive experience brings together all US interns and DPs for professional development, structured networking, a DP graduation event, inspiring executive speakers, and a thrilling team ride on some of your favorite Polaris vehicles.
  

• Community Engagement : opportunity to get involved in your local community.
  

• Final Presentations : present to our senior level leaders to showcase your career aspirations and recap your internship experience.
  

The Selection Process:

Applications are open from August -November each year. Applications will be reviewed and shortlisted candidates will typically be contacted for an initial phone screen by the end of November. Candidates selected to move forward will be invited to participate in a virtual panel interview with an identified HR business partner and functional leader. Successful candidates would move forward to an offer. You will partner with the Early Talent team in January to complete a survey that provides a deeper look at your specific interests, strengths & career goals. All specific internship assignments are communicated in February , after aligning based on your specific interests and business demand.

Intern Relocation Assistance:

Polaris offers a relocation program for interns who qualify through our mobility vendor. To qualify for these services your home address must be 35 miles or more from the office where you will be working. Benefits include a lump sum (grossed up to offset tax liability), access to a relocation counselor to explain the resources available to you and aid securing short-term housing available to you. Your responsibilities will include daily transportation to and from the office.

Required Qualifications:

• Pursuing a bachelor's/master's degree in a related field with an intended graduation date between August 2026-May 2028.
  

• Minimum overall GPA of 3.0
  

• Must be able to commit to a full 12-week internship, working 40 hours per week, within one of the following date ranges:
  

• May 18th - August 7th, 2026.
  

• June 1st - August 21st, 2026.
  

• Willing and able to relocate.
  

• Must be a U.S. person (U.S. citizen, U.S. national, lawful permanent resident, asylee, or refugee) and not require sponsorship for employment now or in the future.
  

• Must have reliable transportation for daily commuting to and from the office.
  

• Previous experience with Microsoft Office software tools (Excel, Outlook, PowerPoint, Teams, and Word).
  

Preferred Qualifications:

• Previous internship/co-op experience or involvement in relevant projects.
  

• Demonstrated strengths in analysis, creative problem-solving, communication, interpersonal relationships, self-motivation, and leadership.
  

• Strong interest in long-term career development and participation in leadership development programs.
  

• Previous leadership experience in work, organizations, or classroom.
  

• Completion of at least two years of university coursework
  

This is more than an internship - It's the beginning of your career with Polaris.

We hope you're ready for the ultimate adventure!

The starting pay range for Minnesota is $23.00 to $31.50 per hour, plus eligibility for overtime. Individual pay and positioning within the range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography. While individual pay could fall anywhere in the range based on these factors, it is not common to start at the high end or top of the range.

To qualify for this position, former employees must be eligible for rehire, and current employees must be in good standing.

We are an ambitious, resourceful, and driven workforce, which empowers us to Think Outside. Apply today!

About Polaris

As the global leader in powersports, Polaris Inc. (NYSE: PII) pioneers product breakthroughs and enriching experiences and services that have invited people to discover the joy of being outdoors since our founding in 1954. Polaris' high-quality product line-up includes the Polaris RANGER®, RZR® and Polaris GENERAL™ side-by-side off-road vehicles; Sportsman® all-terrain off-road vehicles; military and commercial off-road vehicles; snowmobiles; Indian Motorcycle® mid-size and heavyweight motorcycles; Slingshot® moto-roadsters; Aixam quadricycles; Goupil electric vehicles; and pontoon and deck boats, including industry-leading Bennington pontoons. Polaris enhances the riding experience with a robust portfolio of parts, garments, and accessories. Proudly headquartered in Minnesota, Polaris serves more than 100 countries across the globe.

EEO Statement

Polaris Inc. is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law. Applicants with a disability that are in need of an accommodation to complete the application process, or otherwise need assistance or an accommodation in the recruiting process, should contact Human Resources at or To read more about employment discrimination protection under U.S. federal law, see: Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov).

At Polaris Inc., we have fun doing what we love by driving change and innovation. We empower employees to take on challenging assignments and roles with an elevated level of responsibility in our agile working environment. Our people make us who we are, and we create incredible products and experiences that empower us to Think Outside.

Digital & Information Technology - Predictive Data Science Internship - Summer 2026

Internship Program Overview

The Polaris D&IT Predictive Data Science Internship is a tailored 12-week paid summer internship designed for emerging juniors and seniors who are interested in pursuing a career in a leading global powersports industry.

As a D&IT Predictive Data Science Intern, you will create recommendations for complex business decisions using a wide variety of data science techniques-from exploratory data analysis to predictive analytics. In this track, you will develop advanced end-to-end analytics and technology solutions that drive value for Polaris and its customers.

You may interact with:

Analytics

You will work with Data Analysts and Modern Workplace teams to explore and interpret data, uncover insights, and support data-driven decision-making. This includes building dashboards, visualizations, and reports that communicate findings clearly to both technical and non-technical audiences.

Data Management

Collaborate with Technical Product Managers and Data Engineers to integrate, prepare, and manage large, varied datasets. You'll gain experience in data architecture, pipeline development, and the tools that support scalable data operations.

Data Science

Work alongside Data Scientists to design, build, and implement predictive models and machine learning algorithms. You'll contribute to production-ready solutions that enhance business performance and customer experience.

Internship Locations Include: Many D&IT Interns are based out of our corporate headquarters in Minneapolis, MN, but could also include Osceola, WI, Roseau, MN, Spirit Lake, IA, Huntsville, AL, Wyoming, MN, Battle Ground, WA, Wilmington, OH, & Vermillion, SD

As a Polaris intern it is important that you embrace the adventure and remain open to any placement opportunity. By being adaptable, you will gain diverse experiences and develop a broader skill set, which are essential for your professional development and success within Polaris.

Our internship program is crafted to build the foundational skills and experiences essential for your career success. Upon completing the internship, those who demonstrate exceptional performance and a strong passion for learning may be offered a returning internship or a position in our rotational leadership development program.

In addition to meaningful project work, you will participate in intentional programming and professional development offerings such as:

• Mentorship : you are paired with one of our DP associates for mentor support throughout your 12-weeks.

• Programming Hours : weekly functional and centralized learning sessions to broaden your knowledge base, both within and beyond your program.

• Networking - intentional time with peers and leaders at Polaris to build your professional network.

• Intern Innovation Challenge : internal case study designed to promote cross functional development where you and your team will present creative and practical solutions to a real 'Polaris' problemto our executive leadership.

• Early Talent Summit Week : participate in our 3-day event in our Wyoming, MN office. This immersive experience brings together all US interns and DPs for professional development, structured networking, a DP graduation event, inspiring executive speakers, and a thrilling team ride on some of your favorite Polaris vehicles.

• Community Engagement : opportunity to get involved in your local community.

• Final Presentations : present to our senior level leaders to showcase your career aspirations and recap your internship experience.

The Selection Process:

Applications are open from August -November each year. Applications will be reviewed and shortlisted candidates will typically be contacted for an initial phone screen by the end of November. Candidates selected to move forward will be invited to participate in a virtual panel interview with an identified HR business partner and functional leader. Successful candidates would move forward to an offer. You will partner with the Early Talent team in January to complete a survey that provides a deeper look at your specific interests, strengths & career goals. All s pecific internship assignments are communicated in February , after aligning based on your specific interests and business demand?

Intern Relocation Assistance:

Polaris offers a relocation program for interns who qualify through our mobility vendor. To qualify for these services your home address must be 35 miles or more from the office where you will be working. Benefits include a lump sum (grossed up to offset tax liability), access to a relocation counselor to explain the resources available to you and aid securing short-term housing available to you. Your responsibilities will include daily transportation to and from the office.

Required Qualifications:

• Pursuing a bachelor's/master'sdegree in a related field with an intended graduation date between August 2026-May 2028.

• Minimum overall GPA of 3.0

• Must be able to commit to a full 12-week internship, working 40 hours per week, within one of the following date ranges:

• May 18th - August 7th, 2026.

• June 1st - August 21st, 2026.

• Willing and able to relocate.

• Must be a U.S. person (U.S. citizen, U.S. national, lawful permanent resident, asylee, or refugee) and not require sponsorship for employment now or in the future.

• Must have reliable transportation for daily commuting to and from the office.

• Previous experiencewith Microsoft Office software tools (Excel, Outlook, PowerPoint, Teams, and Word).

Preferred Qualifications:

• Previous internship/co-op experience or involvement in relevant projects.

• Demonstrated strengths in analysis, creative problem-solving, communication, interpersonal relationships, self-motivation, and leadership.

• Strong interest in long-term career development and participation in leadership development programs.

• Previous leadership experience in work, organizations, or classroom.

• Completion of at least two years of university coursework

This is more than an internship - It's the beginning of your career with Polaris.

We hope you're ready for the ultimate adventure!

The starting pay range for Minnesota is $23.00 to $31.50 per hour, plus eligibility for overtime. Individual pay and positioning within the range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography. While individual pay could fall anywhere in the range based on these factors, it is not common to start at the high end or top of the range.

To qualify for this position, former employees must be eligible for rehire, and current employees must be in good standing.

We are an ambitious, resourceful, and driven workforce, which empowers us to Think Outside. Apply today!

About Polaris

As the global leader in powersports, Polaris Inc. (NYSE: PII) pioneers product breakthroughs and enriching experiences and services that have invited people to discover the joy of being outdoors since our founding in 1954. Polaris' high-quality product line-up includes the Polaris RANGER®, RZR® and Polaris GENERAL side-by-side off-road vehicles; Sportsman® all-terrain off-road vehicles; military and commercial off-road vehicles; snowmobiles; Indian Motorcycle® mid-size and heavyweight motorcycles; Slingshot® moto-roadsters; Aixam quadricycles; Goupil electric vehicles; and pontoon and deck boats, including industry-leading Bennington pontoons. Polaris enhances the riding experience with a robust portfolio of parts, garments, and accessories. Proudly headquartered in Minnesota, Polaris serves more than 100 countries across the globe. (

EEO Statement

Polaris Inc. is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law. Applicants with a disability that are in need of an accommodation to complete the application process, or otherwise need assistance or an accommodation in the recruiting process, should contact Human Resources at or . To read more about employment discrimination protection under U.S. federal law, see: Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) .

At Polaris, the need for diverse perspectives and experiences enables our vision of Best People, Best Team. We value our differences and align our passions to do great work. As a highly efficient growth company, we are driven to be agile and adaptable to support our customers. At Polaris we unite to create memorable adventures. Learn more at

**At Polaris Inc., we have fun doing what we love by driving change and innovation. We empower employees to take on challenging assignments and roles with an elevated level of responsibility in our agile working environment. Our people make us who we are, and we create incredible products and experiences that empower us to Think Outside.**
**Digital & Information Technology - Predictive Data Science Internship - Summer 2026**
**Internship Program Overview**
The Polaris D&IT Predictive Data Science Internship is a tailored 12-week paid summer internship designed for emerging juniors and seniors who are interested in pursuing a career in a leading global powersports industry.
As a D&IT Predictive Data Science Intern, you will create recommendations for complex business decisions using a wide variety of data science techniques-from exploratory data analysis to predictive analytics. In this track, you will develop advanced end-to-end analytics and technology solutions that drive value for Polaris and its customers.
You may interact with:
**Analytics**
You will work with Data Analysts and Modern Workplace teams to explore and interpret data, uncover insights, and support data-driven decision-making. This includes building dashboards, visualizations, and reports that communicate findings clearly to both technical and non-technical audiences.
**Data Management**
Collaborate with Technical Product Managers and Data Engineers to integrate, prepare, and manage large, varied datasets. You'll gain experience in data architecture, pipeline development, and the tools that support scalable data operations.
**Data Science**
Work alongside Data Scientists to design, build, and implement predictive models and machine learning algorithms. You'll contribute to production-ready solutions that enhance business performance and customer experience.
Internship Locations Include: Many D&IT Interns are based out of our corporate headquarters in Minneapolis, MN, but could also include Osceola, WI, Roseau, MN, Spirit Lake, IA, Huntsville, AL, Wyoming, MN, Battle Ground, WA, Wilmington, OH, & Vermillion, SD
As a Polaris intern it is important that you embrace the adventure and remain open to any placement opportunity. By being adaptable, you will gain diverse experiences and develop a broader skill set, which are essential for your professional development and success within Polaris.
Our internship program is crafted to build the foundational skills and experiences essential for your career success. Upon completing the internship, those who demonstrate exceptional performance and a strong passion for learning may be offered a returning internship or a position in our rotational leadership development program.
In addition to meaningful project work, you will participate in intentional programming and professional development offerings such as:
+ **Mentorship** **:** you are paired with one of our DP associates for mentor support throughout your 12-weeks.
+ **Programming** **Hours** **:** weekly functional _and_ centralized learning sessions to broaden your knowledge base, both within and beyond your program.
+ **Networking** - intentional time with peers and leaders at Polaris to build your professional network.
+ **Intern Innovation Challenge** **:** internal case study designed to promote cross functional development where you and your team will present creative and practical solutions to a real 'Polaris' problemto our executive leadership.
+ **Early Talent Summit Week** _:_ participate in our 3-day event in our Wyoming, MN office. This immersive experience brings together all US interns and DPs for professional development, structured networking, a DP graduation event, inspiring executive speakers, and a thrilling team ride on some of your favorite Polaris vehicles.
+ **Community Engagement** : opportunity to get involved in your local community.
+ **Final Presentations** : present to our senior level leaders to showcase your career aspirations and recap your internship experience.
**The Selection Process:**
Applications are open from August -November each year. Applications will be reviewed and shortlisted candidates will typically be contacted for an initial phone screen by the end of November. Candidates selected to move forward will be invited to participate in a virtual panel interview with an identified HR business partner and functional leader. Successful candidates would move forward to an offer. You will partner with the Early Talent team in January to complete a survey that provides a deeper look at your specific interests, strengths & career goals. **All** **s** **pecific** **internship assignments** **are communicated in** **February** , after aligning based on your specific interests and business demand. 
**Intern Relocation Assistance:**
Polaris offers a relocation program for interns who qualify through our mobility vendor. To qualify for these services your home address must be 35 miles or more from the office where you will be working. Benefits include a lump sum (grossed up to offset tax liability), access to a relocation counselor to explain the resources available to you and aid securing short-term housing available to you. Your responsibilities will include daily transportation to and from the office.
**Required Qualifications:**
+ Pursuing a bachelor's/master'sdegree in a related field with an intended graduation date between August 2026-May 2028.
+ Minimum overall GPA of 3.0
+ Must be able to commit to a full 12-week internship, working 40 hours per week, within one of the following date ranges:
+ May 18th - August 7th, 2026.
+ June 1st - August 21st, 2026.
+ Willing and able to relocate.
+ Must be a U.S. person (U.S. citizen, U.S. national, lawful permanent resident, asylee, or refugee) and not require sponsorship for employment now or in the future.
+ Must have reliable transportation for daily commuting to and from the office.
+ Previous experiencewith Microsoft Office software tools (Excel, Outlook, PowerPoint, Teams, and Word).
**Preferred Qualifications:**
+ Previous internship/co-op experience or involvement in relevant projects.
+ Demonstrated strengths in analysis, creative problem-solving, communication, interpersonal relationships, self-motivation, and leadership.
+ Strong interest in long-term career development and participation in leadership development programs.
+ Previous leadership experience in work, organizations, or classroom.
+ Completion of at least two years of university coursework
_This is more than an internship -_ _It's_ _the beginning of your career with Polaris._
_We hope_ _you're_ _ready for the ultimate adventure!_
The starting pay range for Minnesota is $23.00 to $31.50 per hour, plus eligibility for overtime. Individual pay and positioning within the range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography. While individual pay could fall anywhere in the range based on these factors, it is not common to start at the high end or top of the range.
To qualify for this position, former employees must be eligible for rehire, and current employees must be in good standing.
_We are an ambitious, resourceful, and driven workforce, which empowers us to Think Outside._ _Apply today!_
**About Polaris**
As the global leader in powersports, Polaris Inc. (NYSE: PII) pioneers product breakthroughs and enriching experiences and services that have invited people to discover the joy of being outdoors since our founding in 1954. Polaris' high-quality product line-up includes the Polaris RANGER®, RZR® and Polaris GENERAL side-by-side off-road vehicles; Sportsman® all-terrain off-road vehicles; military and commercial off-road vehicles; snowmobiles; Indian Motorcycle® mid-size and heavyweight motorcycles; Slingshot® moto-roadsters; Aixam quadricycles; Goupil electric vehicles; and pontoon and deck boats, including industry-leading Bennington pontoons. Polaris enhances the riding experience with a robust portfolio of parts, garments, and accessories. Proudly headquartered in Minnesota, Polaris serves more than 100 countries across the globe. ( Statement**
_Polaris Inc. is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law. Applicants with a disability that are in need of an accommodation to complete the application process, or otherwise need assistance or an accommodation in the recruiting process, should contact Human Resources at or_ _. To read more about employment discrimination protection under U.S. federal law, see:_ _Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov)_ .
At Polaris, the need for diverse perspectives and experiences enables our vision of Best People, Best Team. We value our differences and align our passions to do great work. As a highly efficient growth company, we are driven to be agile and adaptable to support our customers. At Polaris we unite to create memorable adventures. Learn more at

**At Polaris Inc., we have fun doing what we love by driving change and innovation. We empower employees to take on challenging assignments and roles with an elevated level of responsibility in our agile working environment. Our people make us who we are, and we create incredible products and experiences that empower us to Think Outside.**
**Digital & Information Technology - Predictive Data Science Internship - Summer 2026**
**Internship Program Overview**
The Polaris D&IT Predictive Data Science Internship is a tailored 12-week paid summer internship designed for emerging juniors and seniors who are interested in pursuing a career in a leading global powersports industry.
As a D&IT Predictive Data Science Intern, you will create recommendations for complex business decisions using a wide variety of data science techniques-from exploratory data analysis to predictive analytics. In this track, you will develop advanced end-to-end analytics and technology solutions that drive value for Polaris and its customers.
You may interact with:
**Analytics**
You will work with Data Analysts and Modern Workplace teams to explore and interpret data, uncover insights, and support data-driven decision-making. This includes building dashboards, visualizations, and reports that communicate findings clearly to both technical and non-technical audiences.
**Data Management**
Collaborate with Technical Product Managers and Data Engineers to integrate, prepare, and manage large, varied datasets. You'll gain experience in data architecture, pipeline development, and the tools that support scalable data operations.
**Data Science**
Work alongside Data Scientists to design, build, and implement predictive models and machine learning algorithms. You'll contribute to production-ready solutions that enhance business performance and customer experience.
Internship Locations Include: Many D&IT Interns are based out of our corporate headquarters in Minneapolis, MN, but could also include Osceola, WI, Roseau, MN, Spirit Lake, IA, Huntsville, AL, Wyoming, MN, Battle Ground, WA, Wilmington, OH, & Vermillion, SD
As a Polaris intern it is important that you embrace the adventure and remain open to any placement opportunity. By being adaptable, you will gain diverse experiences and develop a broader skill set, which are essential for your professional development and success within Polaris.
Our internship program is crafted to build the foundational skills and experiences essential for your career success. Upon completing the internship, those who demonstrate exceptional performance and a strong passion for learning may be offered a returning internship or a position in our rotational leadership development program.
In addition to meaningful project work, you will participate in intentional programming and professional development offerings such as:
+ **Mentorship** **:** you are paired with one of our DP associates for mentor support throughout your 12-weeks.
+ **Programming** **Hours** **:** weekly functional _and_ centralized learning sessions to broaden your knowledge base, both within and beyond your program.
+ **Networking** - intentional time with peers and leaders at Polaris to build your professional network.
+ **Intern Innovation Challenge** **:** internal case study designed to promote cross functional development where you and your team will present creative and practical solutions to a real 'Polaris' problemto our executive leadership.
+ **Early Talent Summit Week** _:_ participate in our 3-day event in our Wyoming, MN office. This immersive experience brings together all US interns and DPs for professional development, structured networking, a DP graduation event, inspiring executive speakers, and a thrilling team ride on some of your favorite Polaris vehicles.
+ **Community Engagement** : opportunity to get involved in your local community.
+ **Final Presentations** : present to our senior level leaders to showcase your career aspirations and recap your internship experience.
**The Selection Process:**
Applications are open from August -November each year. Applications will be reviewed and shortlisted candidates will typically be contacted for an initial phone screen by the end of November. Candidates selected to move forward will be invited to participate in a virtual panel interview with an identified HR business partner and functional leader. Successful candidates would move forward to an offer. You will partner with the Early Talent team in January to complete a survey that provides a deeper look at your specific interests, strengths & career goals. **All** **s** **pecific** **internship assignments** **are communicated in** **February** , after aligning based on your specific interests and business demand. 
**Intern Relocation Assistance:**
Polaris offers a relocation program for interns who qualify through our mobility vendor. To qualify for these services your home address must be 35 miles or more from the office where you will be working. Benefits include a lump sum (grossed up to offset tax liability), access to a relocation counselor to explain the resources available to you and aid securing short-term housing available to you. Your responsibilities will include daily transportation to and from the office.
**Required Qualifications:**
+ Pursuing a bachelor's/master'sdegree in a related field with an intended graduation date between August 2026-May 2028.
+ Minimum overall GPA of 3.0
+ Must be able to commit to a full 12-week internship, working 40 hours per week, within one of the following date ranges:
+ May 18th - August 7th, 2026.
+ June 1st - August 21st, 2026.
+ Willing and able to relocate.
+ Must be a U.S. person (U.S. citizen, U.S. national, lawful permanent resident, asylee, or refugee) and not require sponsorship for employment now or in the future.
+ Must have reliable transportation for daily commuting to and from the office.
+ Previous experiencewith Microsoft Office software tools (Excel, Outlook, PowerPoint, Teams, and Word).
**Preferred Qualifications:**
+ Previous internship/co-op experience or involvement in relevant projects.
+ Demonstrated strengths in analysis, creative problem-solving, communication, interpersonal relationships, self-motivation, and leadership.
+ Strong interest in long-term career development and participation in leadership development programs.
+ Previous leadership experience in work, organizations, or classroom.
+ Completion of at least two years of university coursework
_This is more than an internship -_ _It's_ _the beginning of your career with Polaris._
_We hope_ _you're_ _ready for the ultimate adventure!_
The starting pay range for Minnesota is $23.00 to $31.50 per hour, plus eligibility for overtime. Individual pay and positioning within the range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography. While individual pay could fall anywhere in the range based on these factors, it is not common to start at the high end or top of the range.
To qualify for this position, former employees must be eligible for rehire, and current employees must be in good standing.
_We are an ambitious, resourceful, and driven workforce, which empowers us to Think Outside._ _Apply today!_
**About Polaris**
As the global leader in powersports, Polaris Inc. (NYSE: PII) pioneers product breakthroughs and enriching experiences and services that have invited people to discover the joy of being outdoors since our founding in 1954. Polaris' high-quality product line-up includes the Polaris RANGER®, RZR® and Polaris GENERAL side-by-side off-road vehicles; Sportsman® all-terrain off-road vehicles; military and commercial off-road vehicles; snowmobiles; Indian Motorcycle® mid-size and heavyweight motorcycles; Slingshot® moto-roadsters; Aixam quadricycles; Goupil electric vehicles; and pontoon and deck boats, including industry-leading Bennington pontoons. Polaris enhances the riding experience with a robust portfolio of parts, garments, and accessories. Proudly headquartered in Minnesota, Polaris serves more than 100 countries across the globe. ( Statement**
_Polaris Inc. is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law. Applicants with a disability that are in need of an accommodation to complete the application process, or otherwise need assistance or an accommodation in the recruiting process, should contact Human Resources at or_ _. To read more about employment discrimination protection under U.S. federal law, see:_ _Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov)_ .
At Polaris, the need for diverse perspectives and experiences enables our vision of Best People, Best Team. We value our differences and align our passions to do great work. As a highly efficient growth company, we are driven to be agile and adaptable to support our customers. At Polaris we unite to create memorable adventures. Learn more at

Description
Unleash Your Potential at the Forefront of AI Innovation
At Amazon, we're on a mission to revolutionize the way the world leverages machine learning. Amazon is seeking graduate student scientists who can turn revolutionary theory into awe-inspiring reality. As an Applied Science Intern focused on Information and Knowledge Management in Machine Learning, you will play a critical role in developing the systems and frameworks that power Amazon's machine learning capabilities. You'll be at the epicenter of this transformation, shaping the systems and frameworks that power our cutting-edge AI capabilities.
Imagine a role where you develop intuitive tools and workflows that empower machine learning teams to discover, reuse, and build upon existing models and datasets, accelerating innovation across the company. You'll leverage natural language processing and information retrieval techniques to unlock insights from vast repositories of unstructured data, fueling the next generation of AI applications.
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.
Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.
Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.
Key job responsibilities
We are particularly interested in candidates with expertise in: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages
In this role, you'll collaborate with brilliant minds to develop innovative frameworks and tools that streamline the lifecycle of machine learning assets, from data to deployed models in areas at the intersection of Knowledge Management within Machine Learning. You will conduct groundbreaking research into emerging best practices and innovations in the field of ML operations, knowledge engineering, and information management, proposing novel approaches that could further enhance Amazon's machine learning capabilities.
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.
A day in the life
- Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
- Design, development and evaluation of highly innovative ML models for solving complex business problems.
- Research and apply the latest ML techniques and best practices from both academia and industry.
- Think about customers and how to improve the customer delivery experience.
- Use and analytical techniques to create scalable solutions for business problems.
Basic Qualifications
- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
- Experience with one or more of the following: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience building machine learning models or developing algorithms for business application
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $107.40/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Description
Unleash Your Potential as an AI Trailblazer
At Amazon, we're on a mission to revolutionize the way people discover and access information. Our Applied Science team is at the forefront of this endeavor, pushing the boundaries of recommender systems and information retrieval. We're seeking brilliant minds to join us as interns and contribute to the development of cutting-edge AI solutions that will shape the future of personalized experiences.
As an Applied Science Intern focused on Recommender Systems and Information Retrieval in Machine Learning, you'll have the opportunity to work alongside renowned scientists and engineers, tackling complex challenges in areas such as deep learning, natural language processing, and large-scale distributed systems. Your contributions will directly impact the products and services used by millions of Amazon customers worldwide.
Imagine a role where you immerse yourself in groundbreaking research, exploring novel machine learning models for product recommendations, personalized search, and information retrieval tasks. You'll leverage natural language processing and information retrieval techniques to unlock insights from vast repositories of unstructured data, fueling the next generation of AI applications.
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.
Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.
Must be eligible and available for a full-time (40h / week) 12 week internship between May 2026 and September 2026
Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.
Key job responsibilities
We are particularly interested in candidates with expertise in: Knowledge Graphs and Extraction, Programming/Scripting Languages, Time Series, Machine Learning, Natural Language Processing, Deep Learning,Neural Networks/GNNs, Large Language Models, Data Structures and Algorithms, Graph Modeling, Collaborative Filtering, Learning to Rank, Recommender Systems
In this role, you'll collaborate with brilliant minds to develop innovative frameworks and tools that streamline the lifecycle of machine learning assets, from data to deployed models in areas at the intersection of Knowledge Management within Machine Learning. You will conduct groundbreaking research into emerging best practices and innovations in the field of ML operations, knowledge engineering, and information management, proposing novel approaches that could further enhance Amazon's machine learning capabilities.
The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.
A day in the life
- Design, implement, and experimentally evaluate new recommendation and search algorithms using large-scale datasets
- Develop scalable data processing pipelines to ingest, clean, and featurize diverse data sources for model training
- Conduct research into the latest advancements in recommender systems, information retrieval, and related machine learning domains
- Collaborate with cross-functional teams to integrate your innovative solutions into production systems, impacting millions of Amazon customers worldwide
- Communicate your findings through captivating presentations, technical documentation, and potential publications, sharing your knowledge with the global AI community
Basic Qualifications
- Are enrolled in a PhD
- Are 18 years of age or older
- Work 40 hours/week minimum and commit to 12 week internship maximum
- Can relocate to where the internship is based
- Experience programming in Java, C++, Python or related language
- Experience with one or more of the following: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience building machine learning models or developing algorithms for business application
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $107.40/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.