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Sports Analytics Machine Learning Jobs in Washington

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

We're seeking a skilled Machine Learning Engineer to build and deploy production ML systems for the ... Work with signal processing data and time-series analysis * Improve local development and CI/CD for ...

Booz Allen Hamilton

Machine Learning Engineer

Mclean, VA · On-site

$77K - $176K/yr

Your ability to conduct statistical analyses on business processes using ML techniques makes you an ... As a machine learning engineer on our defense technology team, you'll train, test, deploy, and ...

Booz Allen Hamilton

Machine Learning Engineer

Mclean, VA · On-site

$77K - $176K/yr

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Your ability to conduct statistical analyses on business processes using ML techniques makes you an ...

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

Implement data models, schemas, and metadata structures optimized for analytics, machine learning, and real-time operational use. Analytics & Decision Support * Enable advanced analytics capabilities ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

Understanding of machine learning techniques and algorithms, data mining, and statistical analysis. * Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred * Proven experience ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site

Understanding of machine learning techniques and algorithms, data mining, and statistical analysis. * Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred * Proven experience ...

Cymertek

Machine Learning Engineer

Annapolis, MD

Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming languages (e.g., Python, R, Java) * Experience with machine learning frameworks (e.g., TensorFlow ...

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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 are popular job titles related to Sports Analytics Machine Learning jobs in Washington? For Sports Analytics Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Sports Analytics Machine Learning jobs in Washington look for? The top searched job categories for Sports Analytics Machine Learning jobs in Washington are:
What cities in Washington are hiring for Sports Analytics Machine Learning jobs? Cities in Washington with the most Sports Analytics Machine Learning job openings:
Sports Analytics Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

Shield Consulting Solutions

Annapolis Junction, MD • On-site

Other

Medical, Retirement, PTO

Posted 17 days ago

Job description

Job Title

Active TS/SCI w/Polygraph REQUIRED. Please do not apply if you do not currently possess this level of clearance. Telework: None

Basic Requirements
  • Experience with standard machine language frameworks, e.g. Pytorch, TensorFlow.
  • A Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university.
  • 5 years' experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required.
    • 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree.
Job Description
  • Select appropriate data sets
  • Perform statistical analysis
  • Run machine learning algorithms
  • Use results to improve models
  • Train and retrain systems when needed
  • Experience in working with various ML libraries and packages
  • Run standard test and evaluation protocols
  • Provide system integration oversight
  • Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
  • Research and implement a broad range of AI and ML algorithms and tools
  • Design or Select appropriate data and knowledge representation methods
  • Recognize software architecture, data modelling, and data structures
  • Transform and convert data science prototypes into scalable solutions
  • Verify data and model output quality
  • Identify differences in data distribution that affect model performance

Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents – available day 1, 8% 401(k) employer match – immediate vesting. Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure. Shield Consulting Solutions is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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