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Sports Analytics Machine Learning Jobs in Tennessee

Senior Data Scientist

Chattanooga, TN ยท On-site

$70 - $86.25/hr

Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient, selecting features, building and optimizing ...

The Data Scientist drives the organization's advanced analytics, machine learning, and AI initiatives, transforming data into actionable insights that support business decision-making and innovation.

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

Senior Data Scientist

Lancesoft

Chattanooga, TN โ€ข On-site

$70 - $86.25/hr

Temporary

Posted 19 days ago


Job description


Contract Role | Senior Data Scientist in Chattanooga TN
Duration: 2 years contract with possible extension
Pay Range: $70 -86.25/hour on w2

Job Description:
Responsible for modeling complex business problems and discovering business insights through the use of data mining techniques, statistical analysis, designing tools/applications, automation and building high quality prediction systems and incorporating them into business processes. The individual will collaborate with the leadership and SMEs from ER business units, key external-related business partners across , and the IT organization to develop technology tools/applications, support digital plans & strategies, identify, and develop proof of concepts. Ultimately responsible for developing data analytics and visualization products that provide insights across the agency to external risks and opportunities with stakeholders, including LPC's, Industrial Customers, Local, State, and Federal Officials, Community Involvement, and Economic Development current and potential customers
  • Lead efforts for identifying business insights through data structure, data mining, predictive models, and implementing innovative techniques for analysis and gathering business intelligence.
  • In addition to enabling and informing key decision-making, the data and models produced will be used in all manners of financial planning, business cases, economic development lead generation, customer and stakeholder analysis, reporting to regulators, and performing studies to optimize interactions in community involvement, and local and federal policy.
  • Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient, selecting features, building and optimizing classifiers using machine learning techniques.
  • Strong ability to communicate complex data and modeling in a simple, actionable way
  • Ability to visualize data in the most effective way possible for a given project or study
  • Determine requirements that will be used to train and evolve deep learning models and algorithms.
  • Data mining using state-of-the-art methods to identify trends and patterns and generate insights that will optimize operational decisions and inform executive decision making.
  • Extending company's data with third party sources of information when needed.
  • Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Processing, cleansing, and verifying the integrity of data used for analysis.
  • Doing ad-hoc analysis and presenting results in a clear manner using data visualization tools.
  • Creating automated anomaly detection systems and constant tracking of its performance.
  • Design, test and produce key data reporting to generate insights and drive operational decision making
  • Experiment to identify hidden relationships between variables in large data sets.
  • Leverage both structured and unstructured data sources from across the agency.
  • Use big data analysis tools and techniques.
  • Play a key role in training, coaching, and upskilling current management & specialist team members, and advising management on how to maximize data science capabilities for optimal decision-making.
Education and Experience -
  • Degree in mathematics, statistics, computer science, economics, engineering, operations research, decision science, or a related quantitative field, plus professional experience performing analytics, including statistical analysis, mathematical modeling, and computer programming. Master's degree and/or PhD degree is highly preferred.
  • At least five years of experience with advanced analytics, including predictive analytics, machine learning, deep learning, mathematical optimization, and risk simulation, in either an academic or professional setting. Ten or more years of experience is highly preferred

Meet Your Recruiter
Vishwas BM

LanceSoft logo

About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

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