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Sports Analytics Machine Learning Jobs in Prosper, TX

Photon

AI Analyst - Dallas, TX

Dallas, TX

Certification in AI, Data Analytics, Machine Learning, or Cloud Technologies is a plus. Nice to Have * Experience with Prompt Engineering. * Knowledge of Python libraries such as Pandas, NumPy ...

Photon

AI Analyst - Dallas, TX

Dallas, TX · On-site

Certification in AI, Data Analytics, Machine Learning, or Cloud Technologies is a plus. Nice to Have * Experience with Prompt Engineering. * Knowledge of Python libraries such as Pandas, NumPy ...

Tiger Analytics Inc.

AI/ML Tech Partner (USA)

Dallas, TX · On-site

$115K/yr

We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and ...

Photon

AI Analyst - Dallas, TX

Dallas, TX · On-site

Certification in AI, Data Analytics, Machine Learning, or Cloud Technologies is a plus. Nice to Have * Experience with Prompt Engineering. * Knowledge of Python libraries such as Pandas, NumPy ...

Tiger Analytics Inc.

AI/ML Tech Partner (USA)

Dallas, TX · On-site

$115K/yr

We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and ...

Photon

AI Analyst - Dallas, TX

Dallas, TX · On-site

Certification in AI, Data Analytics, Machine Learning, or Cloud Technologies is a plus. Nice to Have * Experience with Prompt Engineering. * Knowledge of Python libraries such as Pandas, NumPy ...

Tiger Analytics Inc.

AI/ML Tech Partner (USA)

Dallas, TX · On-site

$115K/yr

We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and ...

Vizient, Inc.

Senior Data Scientist

Irving, TX · On-site

$102K - $179K/yr

You will apply predictive analytics, machine learning, natural language processing, and generative AI approaches, provide technical guidance to other data scientists, and deliver high-quality ...

Vizient

Senior Data Scientist

Irving, TX

$102K - $179K/yr

You will apply predictive analytics, machine learning, natural language processing, and generative AI approaches, provide technical guidance to other data scientists, and deliver high-quality ...

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All JobsSports Analytics Machine Learning JobsSports Analytics Machine Learning Jobs in Prosper, TX

Sports Analytics Machine Learning information

What is sports analytics machine learning?

Sports analytics machine learning is the application of data science and machine learning techniques to analyze sports data, such as player statistics, game outcomes, and biometric information. Professionals in this field develop models to identify patterns, predict player performance, optimize team strategies, and gain competitive advantages. This work involves collecting large datasets, cleaning and processing data, and using algorithms to extract actionable insights that can benefit teams, coaches, and athletes. Sports analytics with machine learning is increasingly used in professional sports to inform decisions about training, recruitment, and game tactics.

How do sports analytics machine learning professionals typically collaborate with coaches and athletes to impact game strategy?

Sports Analytics Machine Learning professionals often work closely with coaches and athletes by translating complex data insights into practical recommendations. They attend strategy meetings, present findings through visualizations, and help interpret trends that can influence training, player selection, and in-game tactics. Effective communication is key, as these professionals must bridge the gap between technical analyses and real-world sports applications. This collaborative environment not only enhances team performance but also provides opportunities to see the direct impact of your work on the field.

What are the key skills and qualifications needed to thrive as a sports analytics machine learning specialist, and why are they important?

To thrive as a Sports Analytics Machine Learning Specialist, you need a strong background in statistics, data analysis, programming (typically in Python or R), and an understanding of machine learning algorithms, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools, sports databases, and machine learning frameworks like TensorFlow or scikit-learn is essential, along with experience using SQL and data pipelines. Strong problem-solving, communication, and collaboration skills help translate complex data findings into actionable insights for coaches, players, and stakeholders. These skills are crucial for extracting meaningful patterns from vast sports datasets and driving performance improvements or strategic decisions within sports organizations.

What job categories do people searching Sports Analytics Machine Learning jobs in Prosper, TX look for?

The top searched job categories for Sports Analytics Machine Learning jobs in Prosper, TX are:

What cities near Prosper, TX are hiring for Sports Analytics Machine Learning jobs?

Cities near Prosper, TX with the most Sports Analytics Machine Learning job openings:

Sports Analytics Machine Learning jobs near you

Junior Machine Learning Engineer

MyFunded Futures

Plano, TX • On-site

Full-time

Posted 5 days ago

Key responsibilities

  • Develop, test, validate, and maintain machine learning models.

  • Build and maintain data pipelines and analytical datasets on the company's cloud data platform.

  • Evaluate model performance and document assumptions, methods, and limitations.

Job description

At My Funded Futures, we're transforming the world of proprietary trading by giving traders the capital, tools, and community they need to succeed.
We blend innovation, transparency, and performance to create opportunity - helping traders scale faster and smarter. If you're passionate about fintech, financial markets, and data-driven growth, you'll fit right in.
Explore our open roles below and see how you can help us shape the future of funded trading.
The Junior ML Engineer will support the Company's data science function by developing, validating, and maintaining machine learning models and the data pipelines behind them. This is a hands-on, applied role: you will work with real data on problems that directly shape the product and the business, and you will be expected to explain what your models do and why they can be trusted.
You will partner closely with the Data Science and Analytics team and with stakeholders across the organization, translating business questions into well-defined analytical problems and presenting results in terms decision-makers can act on.
This role is ideal for someone early in their career who has already built and shipped machine learning models and who wants broader exposure across modeling, analytics, and data engineering.
Key Responsibilities
  • Develop, test, validate, and maintain machine learning models under the guidance of senior team members.
  • Build and maintain data pipelines and analytical datasets on the Company's cloud data platform.
  • Evaluate model performance rigorously and document assumptions, methods, and limitations.
  • Support statistical analysis, forecasting, and experimentation to inform business decisions.
  • Present technical findings clearly to non-technical audiences.
  • Contribute to standards for model documentation, validation, and monitoring.
Qualifications
  • Bachelor's degree (or equivalent) in computer science, mathematics, engineering, or a related field, with coursework in machine learning or statistical learning. Graduate degree is a plus.
  • Strong Python and PySpark skills, with the ability to write clean, tested, maintainable code.
  • Hands-on experience with a cloud data platform (Databricks, Snowflake, Fabric, or similar)
  • Strong SQL, including window functions and multi-table joins.
  • Solid understanding of core ML concepts: cross-validation, overfitting, class imbalance, data leakage (including in time-ordered data), and choosing evaluation metrics appropriate to the problem.
  • Hands-on experience with:
    • Gradient-boosted trees (XGBoost, LightGBM)
    • Logistic regression, support vector machines, k-nearest neighbors
    • Clustering methods (k-means and others)
  • Experience with some of the following: survival / time-to-event analysis, experiment design and causal inference, simulation and Monte Carlo methods, probability calibration, Bayesian or hierarchical modeling, model monitoring and drift detection
  • Experience taking a model from development into a scheduled or production environment
  • Docker, CI/CD, and workflow orchestration experience
  • Ability to explain model behavior, including feature importance, calibration, and limitations.
  • Ability to gather and present technical results to a non-technical audience.
  • Proven experience as a machine learning engineer or in a similar role is a plus.
  • Fintech, trading, or financial services background is a plus.

EEO Statement
Equal Employment Opportunity
My Funded Futures is an equal opportunity employer. We believe that diversity drives innovation and success. We are committed to building an inclusive environment where every team member feels valued, respected, and supported-regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.
Pay Transparency
In compliance with pay transparency laws, My Funded Futures provides compensation ranges in job postings where required. Final compensation may vary based on experience, qualifications, and location. We also offer comprehensive benefits and performance-based incentives.
Accessibility / Accommodation Statement
If you require assistance or an accommodation during the application process, please contact our HR team at careers@myfundedfutures.com.
Work Authorization
Applicants must be authorized to work in the applicable country without employer sponsorship. The Company does not offer visa sponsorship or immigration assistance for this position.

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