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Seasonal Microsoft Machine Learning Jobs (NOW HIRING)

AEG

Data Scientist, Machine Learning

Orlando, FL · On-site

The Data Scientist, Machine Learning will support Basketball Operations by developing and deploying ... Proficient in all Microsoft Office products and other related computer skills required. * Ability ...

PROS

Machine Learning Engineer II

Houston, TX · On-site

$93.10K - $127.50K/yr

Machine Learning Engineer II About PROS: PROS, Inc. is the leading offer management provider to the ... Familiarity with Linux environments and cloud platforms, preferably Microsoft Azure. * Strong ...

Pantheon Data LLC

Machine Learning Engineer

Charlotte, NC · On-site

$110K - $140K/yr

Position Overview Pantheon Data is seeking a Machine Learning Engineer to join our core product ... Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint.

Pantheon Data

Machine Learning Engineer

Charlotte, NC · On-site

$110K - $140K/yr

Position Overview Pantheon Data is seeking a Machine Learning Engineer to join our core product ... Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint.

Pantheon Data

Machine Learning Engineer

Charlotte, NC · Remote

$110K - $140K/yr

Position Overview Pantheon Data is seeking a Machine Learning Engineer to join our core product ... Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint.

Syntiant

Senior Engineer, Machine Learning

Redwood City, CA · On-site

$125K - $150K/yr

The Senior Engineer, Machine Learning will be responsible for developing state-of-the-art audio and ... Microsoft's M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge ...

Syntiant

Senior Engineer, Machine Learning

Irvine, CA · On-site

$125K - $150K/yr

The Senior Engineer, Machine Learning will be responsible for developing state-of-the-art audio and ... Microsoft's M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge ...

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Seasonal Microsoft Machine Learning information

What are the most commonly searched types of Microsoft Machine Learning jobs? The most popular types of Microsoft Machine Learning jobs are:
Seasonal Microsoft Machine Learning jobs near you
Infographic showing various Seasonal Microsoft Machine Learning job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 71% Full Time, 23% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 69% Physical, and 31% Remote job distribution.

Data Scientist, Machine Learning

AEG

Orlando, FL • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago

Job description

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.
Before we get into the specifics of the role, there are a few things we want you to know: At the Orlando Magic, our approach is to not only learn as much about you as we can, but for you to learn about us. This is definitely a two-way street, so time with your potential new leader, teammates, and/or other departments that the role will work with is critical. It isn't just, "what are we looking for", but also, "what do we have to offer you" and "are we the right fit for you." While every position is different, our interview process is typically a three-step process, sometimes more depending on the level and nature of the role.
What we offer you:
  • Staff tickets to Magic home games, learning and development opportunities, Employee Resource Groups (ERGs), company sponsored events, volunteer opportunities & outings for every employee.
  • Fantastic benefits that include: medical, dental, vision, 401(k) with company matching, mental wellness resources, subsidized gym memberships, maternity & paternity leave.
  • Culture built on Community, Innovation, Legendary and Teamwork!
A quick summary about the Data Scientist, Machine Learning: The Data Scientist, Machine Learning will support Basketball Operations by developing and deploying machine learning models to inform decision making across player evaluation, game strategy, and player development. This role will own key parts of the model development lifecycle, from experimentation and training to production deployment, with a focus on spatiotemporal modeling, scalable data pipelines, and reliable model delivery. This is an in-person opportunity in Orlando, FL.
What the Data Scientist, Machine Learning will do:
  • Build and productionize machine learning models that support basketball decision making.
  • Design and maintain scalable systems and pipelines for data processing, training, inference, and monitoring.
  • Partner closely with analysts, engineers, and basketball stakeholders to turn research ideas into reliable tools.
  • Establish best practices for testing, validation, documentation, versioning, and model observability.
  • Develop modeling approaches that translate basketball data into clear, actionable insights.
  • All other duties as assigned.

What the Data Scientist, Machine Learning needs to have:
  • Bachelor's in Computer Science, Statistics, Math or related field.
  • 1+ years of experience with Python and SQL, with solid software engineering fundamentals including testing, version control, and maintainable code practices.
  • 1+ years of experience with applied machine learning techniques, with fluency across tree-based methods, deep learning, and modern modeling workflows.
  • 1+ years of experience with building, deploying, and maintaining end to end machine learning systems in production environments.
  • Passion for basketball and an understanding of the basketball analytics space.
  • Willingness to work long and irregular hours with a flexible schedule based on the changing priorities of the department.
  • Willingness to work a flexible schedule including nights and weekends and be on-call as necessary based on the changing priorities of the department.
  • Proficient in all Microsoft Office products and other related computer skills required.
  • Ability to meet tight deadlines and work well under pressure.
  • Strong organizational skills, time management skills and attention to detail required.
  • Strong verbal and written communication skills with an emphasis on business writing skills.
  • Ability to prioritize and manage multiple tasks/projects.
  • Ability to work independently without supervision, be self-directed and demonstrate initiative.
  • Strong team synergy skills and ability to work collaboratively with others whom you have no direct authority over.
  • Excellent ability to establish rapport with others and ability to build strong interpersonal relationships.
  • Exhibit good judgment and decision-making skills.

Physical requirements
  • None

If this opportunity is a role you're passionate about and it fits with your skills and experience, then we welcome you to take the next step and apply! All offers of employment are contingent on successful completion of our pre-employment screenings, that will include a background check and may include a drug screen. Please note that this is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, management reserves the right to revise the job or to require that other or different tasks be performed as assigned. The Orlando Magic are not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at the Orlando Magic via-email, the internet or in any form and/or method without a valid written Statement of Work in place for this position from Orlando Magic HR/Recruitment will be deemed the sole property of the Orlando Magic. No fee will be paid in the event the candidate is hired by the Orlando Magic as a result of the referral or through other means. The Orlando Magic is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, religion, color, sex (including pregnancy and gender identity), sexual orientation, parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, any other non-merit based factor or any other characteristic protected by applicable federal, state or local laws. Our leadership team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment. If you'd like more information about your EEO rights as an applicant under the law, please visit http://www1.eeoc.gov/employers/poster.cfm
Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992

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