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Sports Analytics Machine Learning Jobs in Texas (NOW HIRING)

Machine Learning Engineer

Austin, TX · On-site

$100 - $130/hr

... Analyze large datasets to extract meaningful insights and support data-driven decisions • Develop scalable machine learning pipelines and systems • Maintain up-to-date knowledge of emerging AI ...

... Analyze large datasets to extract meaningful insights and support data-driven decisions • Develop scalable machine learning pipelines and systems • Maintain up-to-date knowledge of emerging AI ...

As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior ... You will utilize skills to query databases to extract data, use skills in Python or R to analyze ...

New

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard ... Your work will help NOAA scientists analyze massive volumes of expedition data and video more ...

New

Machine Learning Engineer

Plano, TX · On-site

$120 - $150/hr

Overview Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... Strong analytical and problem-solving skills, with the ability to translate business requirements ...

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 ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... Strong analytical and problem-solving skills, with the ability to translate business requirements ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... Strong analytical and problem-solving skills, with the ability to translate business requirements ...

Showing results 21-40

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 Texas look for?

The top searched job categories for Sports Analytics Machine Learning jobs in Texas are:

What cities in Texas are hiring for Sports Analytics Machine Learning jobs?

Cities in Texas with the most Sports Analytics Machine Learning job openings:

Machine Learning Engineer

Q2 India

Austin, TX • On-site

$100 - $130/hr

Other

Medical

Posted 10 days ago


Job description

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type: Full timeposted on: Posted Yesterdayjob requisition id: REQ-12438# **As passionate about our people as we are about our mission.**Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology—and we do that by empowering our people to help create success for our customers.Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our “Circle of Awesomeness” award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.**SUMMARY**The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning capabilities and support business innovation.Note: Specific tools, technologies, certifications, or travel requirements may be customized by the hiring manager**RESPONSIBILITIES**• Design and implement machine learning algorithms and models for various business applications• Conduct research and experimentation to advance machine learning capabilities• Collaborate with cross-functional teams to integrate AI solutions into production environments• Analyze large datasets to extract meaningful insights and support data-driven decisions• Develop scalable machine learning pipelines and systems• Maintain up-to-date knowledge of emerging AI and machine learning trends• Ensure the quality and performance of AI systems through testing and validation**EXPERIENCE AND KNOWLEDGE**• Bachelor’s degree in related field and 5–8 years relevant experience• Proven experience in ML model development and deployment• Strong knowledge of statistics, optimization, probability theory, and experimental methodologies• Proficiency in programming languages such as Python, R, or Java• Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn)• Familiarity with cloud platforms and scalable computing resources• Strong analytical, problem-solving, and collaboration skills*This position requires fluent written and oral communication in English.**Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.***Health & Wellness*** Hybrid Work Opportunities* Flexible Time Off* Career Development & Mentoring Programs* Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents* Community Volunteering & Company Philanthropy Programs* Employee Peer Recognition Programs – “You Earned it”Click to find out more about the benefits we offer.**Our Culture & Commitment:**We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program (). We believe in making an impact—in the industry and in the community.We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.*Applicants in California or Washington State may not be exempt from federal and state overtime requirements***Mission**In 2004, Q2 founder Hank Seale set out to build a different kind of company. Our mission, to build strong and diverse communities by strengthening their financial institutions, is at the heart of everything we do.**Vision**Our vision is to create meaningful financial experiences throughout the financial journey so our customers can focus on building lasting relationships with their account holders. To get there, we combine the must-haves of digital banking – feature functionality, operational excellence and integrations – with the next-generation of technology principles: data-driven insights, open technology and design thinking. We call this philosophy FinX, and it spans everything we do, from product development and platform architecture to how we hire.**Values**Providing superior software and service starts with our purpose-built culture, defined by our Ten Guiding Principles. These principles were established by Hank Seale, our founder, and have served as a constant reminder of how Q2 employees should conduct themselves with peers, customers, and partners for 15 years. Building something different and special takes the right kind of people, and we hope you’ll join our team. #J-18808-Ljbffr