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Sports Analytics Machine Learning Jobs in Spring Hill, FL

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... machine learning/Big Data • applications using open source tools such as Scala, Java, Python ... Analytics in ETL, retrospective testing, efficiency, • repeatability, and R&D. • Lead by ...

Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will ...

This role requires a knowledge of programming, mathematical modeling, and statistics to carry out machine learning projects. Responsibilities include but are not limited to: * Quantitative analysis ...

Typically includes creating various machine learning-based tools or processes within the unit, such as recommendation engines or automated lead scoring systems. Performs statistical analysis to build ...

Position Summary Epiq's Advanced Technologies Consultants support clients' document review needs using advanced analytics, including machine learning and generative AI. Working closely with the ...

Responsibilities - Design and implement advanced AI and machine learning solutions - Analyze intricate challenges and provide actionable insights - Mentor and guide junior team members in their ...

CTIO AI Engineering Manager

Tampa, FL · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

AVP, Audit Execution Analytics

Tampa, FL · Hybrid

$106K - $130K/yr

Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning ... Power BI Data Analyst Associate, Tableau Desktop Specialist, AWS Certified Data Analytics, Azure ...

AVP, Audit Execution Analytics

Tampa, FL · On-site

$106K - $130K/yr

Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning ... Power BI Data Analyst Associate, Tableau Desktop Specialist, AWS Certified Data Analytics, Azure ...

... machine learning methodologies to analyze vast claims and clinical data - Generate actionable insights aimed at reducing healthcare costs and enhancing population health - Lead and mentor teams while ...

Agentic AI developer

Tampa, FL · On-site

$114K - $154K/yr

Experience designing and deploying machine learning systems across training, inference, and ... Strong analytical, problem-solving, and decision-making skills * Ability to work effectively across ...

Apply advanced data analytics, data mining, AI /machine learning methods to solve problems and develop predictive models; analyze results for multiple functions and communicate conclusions from ...

This role requires a knowledge of programming, mathematical modeling, and statistics to carry out machine learning projects. Responsibilities include but are not limited to: * Quantitative analysis ...

Proficiency in SQL, Python, and data analysis/data mining tools * Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience with high performance, large-scale ...

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 are popular job titles related to Sports Analytics Machine Learning jobs in Spring Hill, FL? For Sports Analytics Machine Learning jobs in Spring Hill, FL, the most frequently searched job titles are:
What job categories do people searching Sports Analytics Machine Learning jobs in Spring Hill, FL look for? The top searched job categories for Sports Analytics Machine Learning jobs in Spring Hill, FL are:
What cities near Spring Hill, FL are hiring for Sports Analytics Machine Learning jobs? Cities near Spring Hill, FL with the most Sports Analytics Machine Learning job openings:

$52.75 - $69.75/hr

Contractor

Re-posted 21 days ago


Job description

Company Description
Job Description
Position Details:
Job Title: Bigdata Engineer
Location: Tampa, FL
Duration: 12+ Months Contract to hire
Job Responsibilities:
Principal Responsibilities
• Design interfaces to the data warehouses/data storages and machine learning/Big Data
• applications using open source tools such as Scala, Java, Python, Perl and shell scripting.
• Design and create data pipelines to maintain stable dataflow to the machine learning models -
• both in batch mode and near real-time mode.
• Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data
• pipelines and processes fit within the production framework.
• Ensure that tools and environments adhere to strict security protocols.
• Deploy the machine learning model and serve its outputs as RESTful API calls.
• Understand the business needs in close collaborations with subject matter experts (SMEs)
• and Data Scientists to do efficient feature engineering for machine learning models.
• Maintain the code and libraries in code repository.
• Work with system administration team to proactively resolve issues/install tools and libraries
• on the AWS platform.
• Research and come up with architecture and solutions most appropriate for problems at hand.
• Maintain and improve tools to assist Analytics in ETL, retrospective testing, efficiency,
• repeatability, and R&D.
• Lead by example regarding software best practices, including code style and architecture,
• documentation, source control, and testing.
• Support the Chief Data Scientist/Data Scientists/Big Data Engineers in creating new and novel
• approaches to solve challenging problems using Machine Learning, Big Data and Cloud
• technologies.
• Handle ADHOC requirements to create reports for the end users.
Required Skills
• Strong skills with Apache Spark (Spark SQL) and SCALA with at least 2+ years of experience.
• Understanding of AWS Big Data components and tools.
• Strong Java skills with experience in web services and web development is required.
• Hands on experience with model deployment.
• Hands on experience in application deployment on Docker and/or Kubernetes or other similar technology.
• Linux scripting is a plus.
• Fundamental understanding of AWS cloud components.
• 2+ years of experience in data ingesting, cleansing/processing, storing and querying large datasets
• 2+ years of experience in engineering large-scale data solutions with Java/Tomcat/ SQL/Linux
• Experience working in a data intensive role including the extraction of data (db/web/api/etc.), transformation and loading (ETL)
• Exposure with structured and/or unstructured data contents
• Experience with data cleansing/preparation on Hadoop/Apache Spark Ecosystem - MapReduce/Hive/HBase/Spark SQL
• Experience with distributed streaming tools like Apache KAFKA.
• Experience with multiple file formats (Parquet, Avro, OCR)
• Knowledge in AGILE development cycle.
• Efficient coding skills to enhance the performance/cost savings of the job running on AWS platform.
• Experience in building stable, scalable, and high-speed live streams of data and serving web platforms
• Enthusiastic self-starter with ability to work in a team environment.
• Graduate (MS) or Undergraduate degree in Computer Science/ Engineering/relevant field
Nice to have:
• Strong Software development experience
• Machine Learning model deployment experience
• Ability to write custom Map/Reduce programs to clean/prepare complex data
• Familiarity with Streaming data processing - Experience with distributed real time computation system like Apache STORM/Apache Spark Streaming.
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.