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Full Time Data Scientist Machine Learning Jobs (NOW HIRING)

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Data Scientist, Machine Learning

Orlando, FL · On-site

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 ...

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Data Scientist Machine Learning

Santa Monica, CA · On-site

$65K - $85K/yr

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR ...

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How much do full time data scientist machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for full time data scientist machine learning in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Data Scientist Machine Learning, and why are they important?

To thrive as a Full Time Data Scientist Machine Learning, you need strong analytical skills, expertise in statistics, machine learning techniques, and a relevant degree in computer science, mathematics, or a related field. Proficiency with programming languages such as Python or R, experience with machine learning libraries like TensorFlow or scikit-learn, and familiarity with data visualization and big data platforms are typically required. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating with stakeholders and translating data insights into business value. These skills are crucial for developing robust models, interpreting complex data, and driving impactful, data-driven decisions within organizations.

What are some common challenges faced by full-time Data Scientists specializing in Machine Learning, and how can they be addressed?

Full-time Data Scientists in Machine Learning often encounter challenges such as dealing with messy or incomplete data, tuning complex models for optimal performance, and effectively communicating technical insights to non-technical stakeholders. Addressing these challenges usually involves collaborating closely with data engineers to improve data quality, staying updated with the latest ML techniques, and developing strong communication skills to translate findings into actionable business strategies. Additionally, regular code reviews and participation in cross-functional meetings help ensure alignment and foster a supportive team environment.

What does a Full Time Data Scientist specializing in Machine Learning do?

A Full Time Data Scientist specializing in Machine Learning is responsible for analyzing large datasets to discover patterns and insights, and for building, testing, and deploying machine learning models to solve business problems. They use statistical techniques, programming skills, and domain knowledge to turn raw data into actionable information. Their day-to-day tasks often include data cleaning, feature engineering, model selection, and performance evaluation. They also collaborate with other teams to integrate machine learning solutions into products or decision-making processes. This role typically requires proficiency in languages like Python or R, and familiarity with tools such as TensorFlow, scikit-learn, or PyTorch.

What is the difference between Full Time Data Scientist Machine Learning vs Data Analyst?

AspectFull Time Data Scientist Machine LearningData Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related; knowledge of ML algorithmsBachelor's in Statistics, Mathematics, or related; proficiency in data visualization and SQL
Work EnvironmentDeveloping ML models, programming in Python/R, deploying algorithmsData cleaning, reporting, creating dashboards, analyzing datasets
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Full Time Data Scientist Machine Learning roles focus on building and deploying machine learning models, requiring advanced programming and statistical skills. Data Analysts primarily interpret data, generate reports, and support decision-making with less emphasis on ML techniques. Both roles are vital but differ in technical depth and responsibilities.

What cities are hiring for Full Time Data Scientist Machine Learning jobs? Cities with the most Full Time Data Scientist Machine Learning job openings:
What are the most commonly searched types of Data Scientist Machine Learning jobs? The most popular types of Data Scientist Machine Learning jobs are:
What states have the most Full Time Data Scientist Machine Learning jobs? States with the most job openings for Full Time Data Scientist Machine Learning jobs include:
Full Time Data Scientist Machine Learning jobs near you

Data Scientist, Machine Learning

Orlando Magic

Orlando, FL

Full-time

Medical, Dental, Vision, Retirement

Posted 9 days ago

Job description

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

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