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Sports Analytics Machine Learning Jobs in Hawaii

GRVTY

Data Scientist 2

Honolulu, HI · On-site

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python ...

Deloitte

Data Scientist

Honolulu, HI · On-site

... of machine learning techniques and algorithms. * 5+ Years of Experience with data manipulation and analysis libraries like pandas and NumPy * Limited immigration sponsorship may be available

Eliassen Group

Senior AI/ML Engineer

Honolulu, HI · Remote

$90 - $100/hr

Experience Requirements: * 10+ years in Software or IT with 7+ years in data analysis, AI engineering, and machine learning engineering. * Hands-on experience with LLM orchestration, integration, and ...

GliaCell Technologies

Data Scientist

Honolulu, HI · On-site

$50K - $120K/yr

GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer ...

GliaCell Technologies

Data Scientist

Honolulu, HI · On-site

GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer ...

GRVTY

Data Scientist 2

Honolulu, HI

$125K - $155K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python ...

GRVTY

Data Scientist 2

Honolulu, HI · On-site

$125K - $155K/yr

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python ...

IntelliGenesis

Data Scientist Level 3

Waimanalo, HI · On-site

Designing/implementing machine learning * Data science * Advanced analytical algorithms * Programming (skill in at least one high-level language (e.g., Python)) * Statistical analysis (e.g ...

IntelliGenesis LLC

Data Scientist Level 3

Waimanalo, HI · On-site

$88K - $121K/yr

Designing/implementing machine learning * Data science * Advanced analytical algorithms * Programming (skill in at least one high-level language (e.g., Python)) * Statistical analysis (e.g ...

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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 Hawaii? For Sports Analytics Machine Learning jobs in Hawaii, the most frequently searched job titles are:
What job categories do people searching Sports Analytics Machine Learning jobs in Hawaii look for? The top searched job categories for Sports Analytics Machine Learning jobs in Hawaii are:
What cities in Hawaii are hiring for Sports Analytics Machine Learning jobs? Cities in Hawaii with the most Sports Analytics Machine Learning job openings:
Sports Analytics Machine Learning jobs near you
Data Scientist - Jr. with Security Clearance

Data Scientist - Jr. with Security Clearance

Bluehawk, LLC

Honolulu, HI

Other

Posted 2 days ago

Job description

Overview The Data Scientist enables advanced analytics and data-driven decision-making across the Joint Intelligence Operations Center (JIOC). This role applies scientific, statistical, and computational techniques to process, structure, and analyze large volumes of multi-source intelligence data. The Data Scientist builds and deploys AI/ML models, advanced automation solutions, and predictive analytics capabilities that enhance intelligence processes, strengthen situational awareness, and directly support operational planning and critical warfighting functions. This position requires strong quantitative skills, experience with large and complex datasets, and the ability to collaborate with analysts, engineers, and mission partners to develop high-impact solutions that drive intelligence insight and operational advantage. Responsibilities * Perform complex statistical analysis, modeling, and data mining to extract actionable insights from diverse intelligence datasets.
* Design, develop, and implement advanced data visualizations to support all aspects of JIOC intelligence operations.
* Build and validate statistical and predictive models to identify trends, patterns, and relationships across multi-INT sources.
* Develop and contribute to AI/ML algorithms, automation workflows, and intelligent systems that enhance mission effectiveness.
* Conduct exploratory data analysis across internal and external datasets to support analytic findings and operational planning.
* Create automated processes for data ingestion, conditioning, and integration to streamline intelligence production.
* Collaborate with intelligence analysts, data engineers, and computer scientists to improve data workflows and develop new analytical capabilities.
* Develop algorithms, scripts, and tools to automate manual processes and enhance analytic efficiency.
* Improve data quality, searchability, metadata structures, and predictive capabilities across intelligence repositories.
* Apply experimental design principles to test hypotheses and evaluate intelligence processes.
* Recommend improvements to data architectures, workflows, and analytic capabilities across the enterprise.
* Conduct system analyses to define technical requirements for new or enhanced intelligence databases and applications.
* Identify data redundancies, gaps, and inefficiencies and develop solutions to optimize integration and accessibility.
* Participate in intelligence planning conferences, capability development sessions, working groups, national-level coordination boards, and technical exchange meetings. Qualifications Education * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
Required Skills * Proficiency in Python, R, SQL, or similar programming languages.
* Experience with data visualization platforms such as Power BI or Tableau.
* Strong understanding of statistical techniques and modeling approaches.
* Foundational knowledge of AI/ML concepts and applications.
* Experience working with relational and/or NoSQL databases.
* Familiarity with cloud-based big data technologies.
* Ability to explain complex technical findings to non-technical audiences.
* Understanding of intelligence analysis processes and mission requirements.
* Experience working with structured and unstructured datasets in complex environments.
Experience * Minimum of 1 to 2 years of experience in data science, analytics, machine learning, or related technical fields. Bluehawk, LLC. is an Equal Opportunity/Affirmative Action Employer/EOE Minority/Female/Disabled/Veteran/Sexual Orientation/Gender Identity

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