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Sports Analytics Machine Learning Jobs in Pasadena, TX

Hp

Data Architect, AI and Supply Chain Insights

Spring, TX · On-site

$56.75 - $73/hr

Experience supporting analytics, AI, machine learning, or data science initiatives. * Experience translating business capabilities and processes into scalable data models and architectures. Required ...

Socket.dev

Lead Data Scientist

Houston, TX · On-site

$120 - $180/hr

In this role, you will lead the design, development, and deployment of advanced analytics, machine learning, and AI solutions using one of the nation's largest pediatric healthcare datasets.

Weatherford

Data Scientist / Wireline

Houston, TX · On-site

In this role, you will apply advanced data analytics, machine learning, and scientific modeling to solve complex problems related to downhole tools, signal processing, and formation evaluation. The ...

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

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

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

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

Sports Analytics Machine Learning jobs near you

Senior Data Science Analyst - OptimusAI

McKinsey & Company

Houston, TX • On-site

$82K - $103K/yr

Full-time

Re-posted 12 hours ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

21st of 72 rated business consultants

Job description

Job Summary:
McKinsey & Company is a global consulting firm that focuses on driving lasting impact and building long-term capabilities for clients. As an OptimusAI Senior Data Science Analyst, you will work with leading companies in the Energy and Materials sector to enhance their productivity using AI, collaborating with a multi-disciplinary team to develop innovative products and algorithms.
Responsibilities:
• Collaborating in a dynamic, multi-disciplinary team of 3-6 experts, you will use your creativity and analytics expertise to enhance client performance in areas such as energy efficiency, product quality, and capacity.
• You will be working side-by-side with the client’s process engineers and analytics specialists and will be communicating your work to executive audiences.
• Internally, you will collaborate with our talented product engineers to develop innovative products and algorithms to address current and future client needs.
• You will help codify best practices, radiate our impact in/externally and shape the product roadmap.
• You will benefit from world-class training in business problem structuring and client advisory, while working closely with senior manufacturing and analytics experts.
• You will experience unparalleled career growth with significant ownership and responsibility from day one, all within a collaborative, diverse, and non-hierarchical environment.
• You can seize the opportunity to travel to client sites, locally and around the world.
Qualifications:
Required:
• Degree in a discipline such as computer science, applied statistics, mathematics, analytics, engineering, machine learning or equivalent
• 3+ years of relevant professional experience in advanced analytics, ideally in the context of heavy industry
• Ability to write clean and efficient code in Python; ideally with experience in using cloud computing resources (e.g., AWS, GCP, Azure)
• Ability to apply and advise on state-of-the-art analytics, machine learning, and optimization techniques to derive business insights and solve complex problems
• Excellent problem-solving skills paired with the ability to develop creative and effective solutions
• Ability to thrive in a flexible, multi-disciplinary and agile working environment
• Track record of completing projects successfully on time as per scope
• Willingness to travel to other offices and/or client locations for short/long term assignments
• Strong interpersonal communication skills; experience in facilitating discussions with leadership
Company:
McKinsey & Company is a global management consulting firm and trusted advisor by businesses, governments, and institutions. Founded in 1926, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

What McKinsey & Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About McKinsey

Sourced by ZipRecruiter

In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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