ZipRecruiter

Log In

1

Sports Analytics Machine Learning Jobs in Hawaii

Vultus Inc

Machine Learning Engineer

Honolulu, HI · On-site +1

$110K - $145K/yr

Design, build, and deploy machine learning models for predictive analytics and automation. * Collect, clean, and preprocess structured and unstructured datasets. * Perform feature engineering and ...

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

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 ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Have strong analytical skills and problem-solving ability * Are a strong communicator who can ...

Amentum

Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical models to support operational analysis, campaign assessment, and decision support. * Develop and ...

Cymertek

Data Scientist

Honolulu, HI · On-site

In this role, you will use advanced analytics, machine learning models, and statistical methods to uncover trends, solve complex problems, and support strategic decision-making. Collaborating with ...

ManTech

Data Scientist

Aiea, HI · On-site

$141K - $236K/yr

In this role you will support cutting-edge analytics, machine learning, and data engineering techniques to deliver strategic and tactical insights that enhance readiness, agility, and operational ...

next page

Showing results 1-20

All JobsSports Analytics Machine Learning JobsSports Analytics Machine Learning Jobs in Hawaii

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 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
Machine Learning Engineer

Machine Learning Engineer

Vultus Inc

Honolulu, HI • On-site, Remote

$110K - $145K/yr

Full-time

Posted 3 days ago

Job description

Machine Learning EngineerJob Summary

We are looking for a talented Machine Learning Engineer to design, develop, and deploy scalable machine learning models that solve complex business problems. The ideal candidate should have experience in data preprocessing, model development, feature engineering, and deploying ML solutions in production environments. You will work closely with data scientists, software engineers, and product teams to build intelligent applications.

Key Responsibilities
  • Design, build, and deploy machine learning models for predictive analytics and automation.
  • Collect, clean, and preprocess structured and unstructured datasets.
  • Perform feature engineering and model optimization to improve performance.
  • Train, validate, and evaluate machine learning models using industry best practices.
  • Deploy ML models using cloud platforms and containerization technologies.
  • Monitor model performance and retrain models as needed.
  • Collaborate with cross-functional teams to understand business requirements.
  • Develop APIs and services for model inference.
  • Document model architecture, experiments, and deployment processes.
  • Stay updated with the latest advancements in AI and machine learning technologies.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3–6 years of experience in Machine Learning or Artificial Intelligence.
  • Strong programming skills in Python.
  • Experience with supervised and unsupervised learning algorithms.
  • Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of statistics, probability, and linear algebra.
  • Experience with SQL and NoSQL databases.
  • Familiarity with REST APIs and microservices architecture.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Understanding of CI/CD pipelines for ML deployment.
Primary Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • Feature Engineering
  • Model Deployment
  • Data Preprocessing
  • SQL
  • Docker
  • Kubernetes
  • Git
Secondary Skills
  • NLP (Natural Language Processing)
  • Computer Vision
  • MLOps
  • Apache Spark
  • MLflow
  • Airflow
  • Kafka
  • Azure ML
  • AWS SageMaker
  • Google Vertex AI
  • FastAPI
  • Flask
Preferred Qualifications
  • Experience with large-scale ML model deployment.
  • Knowledge of Generative AI and Large Language Models (LLMs).
  • Experience with vector databases such as Pinecone, Milvus, or FAISS.
  • Familiarity with prompt engineering and Retrieval-Augmented Generation (RAG).
  • Experience with Agile/Scrum methodologies.
Experience

3–6 Years

Employment Type

Full-Time

Work Location

Remote / Hybrid / On-site

Salary Range

$110,000 – $145,000 per year (Based on experience and location)