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Sports Analytics Machine Learning Jobs in Ohio (NOW HIRING)

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ... Compensation The listed annualized base pay range is primarily based on analysis of similar ...

[US] Data Analytics Associate

Mason, OH · On-site

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data ... Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and ...

[US] Data Analytics Associate

Mason, OH · Hybrid

$55K - $56K/yr

Data Analytics Associate Full Time Hybrid - Mason, OH Innovate with Benchmark Gensuite as a Data ... Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and ...

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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 cities in Ohio are hiring for Sports Analytics Machine Learning jobs? Cities in Ohio with the most Sports Analytics Machine Learning job openings:
Associate - Product Analyst - Machine Learning & Intelligent Operations

Associate - Product Analyst - Machine Learning & Intelligent Operations

JPMorgan Chase & Co

Columbus, OH • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks


Job description

Come join the Machine Learning & Intelligent Operations team who develops and sustains innovative solutions for Consumer & Community Banking (CCB) Operations, using Artificial Intelligence/Machine Learning (AI/ML), through a design-led approach, to dramatically enhance the customer and employee experience.

Job Summary: As a Product Associate within Machine Learning & Intelligence Operations (MLIO,) you will help drive the book of work for your product, coordinating execution of the product roadmap and embracing Agile methodology and best practices. You will interact with cross-functional teams comprised of technologists, data scientists, researchers, designers and analytics team members, all aligned to a shared strategic roadmap. This role is part of the Area Product Team that owns our Agent Assist Application: evee Assist. As part of this team, you will be relentlessly focused on the employee and/or customer experience, carrying forward the team's priorities to maximize the value of the product and the work of modeling & development teams. 


Job responsibilities

  • Support the product execution, roadmap, prioritization, and backlog for machine learning application supporting customer service (evee Assist)
  • Analyze contact volumes and customer journey/friction points across a variety of channels to inform product feature prioritization 
  • Coordinate activities of agile product-aligned team that includes research, design, data scientists, machine learning engineers, and data analytics partners
  • Manage existing product features and collaborate on the research, definition and development of new features to advance the product roadmap and performance
  • Help to maximize product value delivered through backlog creation, management, and prioritization of epics and user stories
  • Collaborate with user research and business / operations teams to identify and drive customer experience, behavior, and improvement opportunities
  • Refine strategies and solutions to enhance self-service utilization and reduce customer contact volume
  • Collaborate with Controls/Risk, Audit, Compliance, Data & Model Governance and Technology to ensure readiness to deliver on product roadmap
     

Required qualifications, capabilities, and skills

  • Experience in Agile, applied to Technical Product Management, ideally with Artificial Intelligent/Machine Learning related products
  • Familiarity with multi-disciplinary teams in a large, matrixed organization and fast paced agile development environment
  • Demonstrate ability to contribute to strategic decisions, while vocally participating in team activities and adding value on execution activities
  • Technical acumen; ability to grasp and help manage complex relationships with internal technology partners
  • Ability to effectively leverage the power of analytics and customer insights for robust outputs 
  • Strong communicator with ability to fluidly interact with leaders, stakeholders, employees and third party vendors
  • High School Diploma/GED

Preferred qualifications, capabilities, and  skills

  • Experience working in or with customer service operations Promote innovation in product development, user research, and analysis to shape and optimize our offerings.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

Operations teams develop and manage innovative, secure service solutions to meet clients' needs globally. Developing and using the latest technology, teams work to deliver industry-leading capabilities to our clients and customers, making it easy and convenient to do business with the firm. Teams also drive growth by refining technology-driven customer and client experiences that put users first, providing an unparalleled experience.

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