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Sports Analytics Machine Learning Jobs in Seattle, WA

Required : • 4+ years of experience delivering analytics, machine learning, automation, data, or ... generative and agentic AI solutions • Experience using Python and Structured Query Language (SQL ...

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core ... Data Analysis and Insight Generation : Analyze experimental data to extract actionable insights.

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core ... Data Analysis and Insight Generation : Analyze experimental data to extract actionable insights.

They are seeking an Applied Machine Learning Engineer to develop products for their clients and the ... statistical analysis and fine-tuning using test results • Train and retrain systems when ...

Company Description Factspan is a pure play analytics company. We partner with you to build an ... Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical ...

Company Description Factspan is a pure play analytics company. We partner with you to build an ... Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical ...

AI & Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

... automate work, analyze information, and serve customers. But entry-level AI candidates need ... SynergisticIT is looking for candidates interested in Python, machine learning, NLP, automation ...

Machine Learning, Deep Learning/neural networks. * Data mining. * Azure ML, Cortana Intelligence ... Cosmos. * Analytical skills. * Experience and desire to work in a Global delivery environment.

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our ...

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... and analyzing the results in the wild in order to continuously update and improve accuracy and ...

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... and analyzing the results in the wild in order to continuously update and improve accuracy and ...

This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing ...

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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 Seattle, WA? For Sports Analytics Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Sports Analytics Machine Learning jobs in Seattle, WA look for? The top searched job categories for Sports Analytics Machine Learning jobs in Seattle, WA are:

Finance Analytics & AI Senior Consultant

Deloitte

Seattle, WA • On-site

$132K/yr

Full-time

Re-posted 10 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

Job Summary:
Deloitte helps navigate complexity in finance and global business services by providing integrated solutions and deep industry insights. As a Finance Analytics & AI Senior Consultant, you'll support the design and delivery of finance transformation solutions that leverage data, automation, and AI capabilities.
Responsibilities:
• Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
• Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
• Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
• Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
• Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
• Identify delivery risks, track dependencies, and support project execution across cross-functional teams
Qualifications:
Required:
• 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
• Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
• Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
• Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
• Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
• Experience deploying machine learning or generative and agentic AI solutions into production environments
• Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
• Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
• Experience with Tableau or Microsoft Power BI
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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