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Sports Analytics Machine Learning Jobs in Alabama

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

As needed Astrion seeking a Machine Learning Engineer to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in ...

Job Title MACHINE LEARNING ENGINEER Location Huntsville, AL US (Primary) Category Engineering Job ... advanced analytics, and programmatic domains. As an employee-owned SDVOSB headquartered in ...

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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 Alabama? For Sports Analytics Machine Learning jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Sports Analytics Machine Learning jobs in Alabama look for? The top searched job categories for Sports Analytics Machine Learning jobs in Alabama are:
What cities in Alabama are hiring for Sports Analytics Machine Learning jobs? Cities in Alabama with the most Sports Analytics Machine Learning job openings:

Cyber Data Scientist, Analytics and Insights

Deloitte

Huntsville, AL

Other

Posted 5 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

57th of 150 rated financial services


Job description

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Work You'll Do

As an Analytics and Insights Engineer III on the Cyber and Strategic Risk team, you will be responsible for:

You will support operational technology (OT) cybersecurity missions by developing and sustaining data products that improve cyber threat detection and response. This role focuses on OT cyber analytics, machine learning model development, and data engineering across on-premises and cloud-connected environments. You will serve as the project's primary data science resource and collaborate with delivery, security operations, cloud, and program stakeholders to advance analytic capabilities. The role is differentiated by its ownership of machine learning development and its contribution to OT cyber analytics innovation.

  • Develop and sustain OT cyber data ontologies to support analytics, detection, and reporting use cases
  • Build, train, test, and maintain machine learning models for OT cyber threat and attack detection
  • Design and maintain data pipelines that move sensor and telemetry data from on-premises environments to cloud platforms
  • Analyze cyber data to identify patterns, anomalies, and indicators that support security operations and mission objectives
  • Collaborate with technical leads, delivery teams, security operations center stakeholders, cloud/data teams, and program management counterparts to implement scalable analytics solutions

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client's technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

Qualifications

Required

  • Bachelor's degree
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Active Secret security clearance required
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
  • 5+ years of experience with:
    • Data Modeling
    • JIRA
    • Machine Learning
    • Python
    • SQL
Qualifications:

Our Deloitte Cyber team understands the unique challenges and opportunities businesses face in cybersecurity. Join our team to deliver powerful solutions to help our clients navigate the ever-changing threat landscape. Through powerful solutions and managed services that simplify complexity, we enable our clients to operate with resilience, grow with confidence, and proactively manage to secure success.

Work You'll Do

As an Analytics and Insights Engineer III on the Cyber and Strategic Risk team, you will be responsible for:

You will support operational technology (OT) cybersecurity missions by developing and sustaining data products that improve cyber threat detection and response. This role focuses on OT cyber analytics, machine learning model development, and data engineering across on-premises and cloud-connected environments. You will serve as the project's primary data science resource and collaborate with delivery, security operations, cloud, and program stakeholders to advance analytic capabilities. The role is differentiated by its ownership of machine learning development and its contribution to OT cyber analytics innovation.

  • Develop and sustain OT cyber data ontologies to support analytics, detection, and reporting use cases
  • Build, train, test, and maintain machine learning models for OT cyber threat and attack detection
  • Design and maintain data pipelines that move sensor and telemetry data from on-premises environments to cloud platforms
  • Analyze cyber data to identify patterns, anomalies, and indicators that support security operations and mission objectives
  • Collaborate with technical leads, delivery teams, security operations center stakeholders, cloud/data teams, and program management counterparts to implement scalable analytics solutions

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our Enterprise Security offering embeds security in all aspects of digital transformation by securing a client's technical backbone while enabling secure digital transformation. Includes security architecture, secure development and deployment, end-to-end cyber cloud capabilities, application security, and security for emerging technologies and connected products.

Qualifications

Required

  • Bachelor's degree
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Active Secret security clearance required
  • Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve
  • 5+ years of experience with:
    • Data Modeling
    • JIRA
    • Machine Learning
    • Python
    • SQL
Education:Bachelor's DegreeEmployment Type:

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Pay

Benefits

Hours and flexibility

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