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Remote Data Science Sports Jobs in Alabama (NOW HIRING)

... remote environment while collaborating effectively across global teams. Desirable * Experience selling services across broader drug development disciplines including bioanalysis, data sciences, or ...

New

Lead simple data modeling and data conversion definition activities * Performs complex ... A degree in the Sciences, Computer Sciences, Engineering or a related discipline, or equivalent ...

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Bachelor's degree in Geographic Information Systems, Computer Science, Geography, or a related ...

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Bachelor's degree in Geographic Information Systems, Computer Science, Geography, or a related ...

$15.50 - $19.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... sports. Position Purpose Under the direction of the USL Technology & Data Strategy team, the ...

$14.75 - $18.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... sports. Position Purpose Under the direction of the USL Technology & Data Strategy team, the ...

$15.75 - $19.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... sports. Position Purpose Under the direction of the USL Technology & Data Strategy team, the ...

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ...

$15.50 - $19.50/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... sports. Position Purpose Under the direction of the USL Technology & Data Strategy team, the ...

$14.50 - $18.25/hr

Remote Overview of the United Soccer League (USL) The United Soccer League (USL) is the heartbeat ... sports. Position Purpose Under the direction of the USL Technology & Data Strategy team, the ...

... Science, Engineering, Sciences, or a related field, or equivalent combination of education and ... Turning complex operational data into actionable intelligence, Octave connects expertise, real ...

NTT DATA strives to hire exceptional, innovative, and passionate individuals who want to grow with ... This can be a remote position with limited travel to the client's site, 25% travel. The Project ...

Conducts actuarially sound statistical analysis by selecting appropriate data sources and making ... BA/BS in statistics, mathematics, actuarial science or related area and 5+ years of post-bachelor ...

Showing results 41-60

Remote Data Science Sports information

What is a remote data science sports job?

A remote data science sports job involves analyzing sports-related data to extract insights, build predictive models, and support decision-making, all while working from a location outside of a traditional office, typically from home. Professionals in this role use statistical methods, programming, and machine learning to evaluate player performance, game strategies, or fan engagement. Their work helps sports teams, leagues, media companies, and betting firms make evidence-based decisions. Remote positions offer flexibility and often require strong communication skills to collaborate with teams virtually. The demand for these roles is growing as the sports industry increasingly relies on data-driven strategies.

What are the key skills and qualifications needed to thrive as a remote data science sports professional?

To thrive as a Remote Data Science Sports professional, you need a strong background in statistics, data analysis, and sports knowledge, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, proficiency in data visualization tools, and experience with machine learning frameworks are typically required. Excellent problem-solving abilities, communication skills, and self-motivation are crucial soft skills for collaborating remotely and translating complex data into actionable insights. These skills ensure accurate sports data modeling, effective remote teamwork, and valuable contributions to decision-making in sports organizations.

How do remote data science professionals in the sports industry typically collaborate with coaches and analysts to turn data insights into actionable strategies?

Remote data science professionals in the sports industry often work closely with coaches, analysts, and other stakeholders through regular virtual meetings and collaborative platforms. They translate complex data findings into intuitive visualizations and reports, making it easier for non-technical team members to understand and apply insights. Communication and responsiveness are key, as data scientists may need to quickly adjust analyses based on feedback or new priorities from the sports staff. Building strong relationships and maintaining clear channels of communication help ensure that data-driven recommendations are effectively integrated into training, game strategies, and player development.

What is the difference between Remote Data Science Sports vs Remote Data Analysis Sports?

AspectRemote Data Science SportsRemote Data Analysis Sports
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves modeling and machine learningData interpretation, reporting, and visualization, often in business contexts
Employer & Industry UsageTech companies, sports analytics firms, media outletsSports teams, media companies, sports analytics agencies

Remote Data Science Sports involves advanced modeling, machine learning, and statistical analysis, requiring higher technical credentials. Remote Data Analysis Sports focuses on interpreting data, creating reports, and visualizations. Both roles are common in sports industry analytics but differ in complexity and technical depth.

Can data science be used in sports?

Data science is widely used in sports to analyze player performance, optimize strategies, and improve team decision-making. Sports data analysts and data scientists utilize tools like machine learning, statistical models, and data visualization to gain insights and enhance athletic outcomes.

Do sports teams hire remote data scientists?

Some sports teams and organizations hire remote data scientists to analyze player performance, game strategies, and fan engagement using data analytics tools. These roles often require skills in statistical modeling, machine learning, and programming languages like Python or R, and may involve collaboration with on-site staff or remote work environments.

How much do remote data science sports make?

Remote data science roles in sports typically have salaries ranging from $70,000 to $130,000 annually, depending on experience, education, and the complexity of projects. Senior positions or those requiring specialized skills in machine learning or sports analytics can earn higher compensation, often exceeding $150,000. These roles often require proficiency in programming languages like Python or R and familiarity with sports data sources and analytics tools.

What are popular job titles related to Remote Data Science Sports jobs in Alabama?

For Remote Data Science Sports jobs in Alabama, the most frequently searched job titles are:

What cities in Alabama are hiring for Remote Data Science Sports jobs?

Cities in Alabama with the most Remote Data Science Sports job openings:

Scientific Computing & Geospatial Engineer

Lynker Corporation

Tuscaloosa, AL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

OverviewLynker is seeking a skilled and motivated Senior Scientific Computing & Geospatial Engineer to support large-scale hydrologic and geospatial data infrastructure. This role works at the intersection of environmental science and high-performance software development, contributing to national-scale flood forecasting, terrain analysis, and hydrologic modeling systems that operational forecasters and emergency managers depend on every day.The ideal candidate is comfortable moving between backend engineering, raster and terrain processing, scientific Python workflows, and cloud-native data infrastructure and is motivated by the idea that their code outputs matter in the real world.Responsibilities

Duties of the Scientific Computing & Geospatial Engineer may include but are not limited to:

  • Design and build high-throughput raster and terrain processing pipelines for flood mapping, terrain analysis, and DEM conditioning workflows                
  • Develop and maintain cloud-native geospatial data pipelines across formats including Parquet, Zarr, and NetCDF
  • Optimize memory- and compute-intensive scientific workflows for performance and scalability at national scale                                                
  • Collaborate with hydrologists, scientists, and modeling teams to translate domain requirements into reliable, maintainable software                          
  • Build and maintain AWS-based infrastructure supporting scalable scientific computing and data delivery                                                      
  • Contribute to backend API and data pipeline development feeding operational hydrologic forecasting systems                                                  
  • Apply modern software practices including Docker, CI/CD, and automated testing across all development work
  • Perform related duties as assigned      
Qualifications

The Scientific Computing & Geospatial Engineer selected should have the following:

  • Bachelor's degree in computer science, geospatial science, hydrology, or a related field (MS or above is a strong plus)                                      
  • 3+ years of relevant software development experience
  • Strong scientific Python experience including numpy, pandas, xarray, and geopandas 
  • Experience processing large geospatial or environmental datasets using GDAL or equivalent tools 
  • Familiarity with cloud-native geospatial formats and chunked or tiled data processing approaches
  • Experience with AWS storage and compute workflows (S3, EC2, batch)            
  • Solid software engineering fundamentals - version control, testing, CI/CD, Docker
  • Ability to work independently on complex assignments and deliver sound technical recommendations
  • Strong written and oral communication skills for documentation and cross-disciplinary collaboration  

The Ideal candidate will have the following:

  •  Expereince with Rust for high-performance scientific or geospatial computing
  •  Background in flood inundation mapping, hydrologic modeling, or remote sensing
  •  Cloud infrastructure automation using Terraform or AWS CDK
  •  HPC or accelerated computing experience
  •  Experience with ensemble or gridded meteorological data formats

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

 Fraud Alert: Recruitment Scam Warning: Lynker has been made aware of fraudulent individuals posing as Lynker recruiters and offering fake job opportunities. All legitimate Lynker job postings are listed on our official careers page. Communication from Lynker recruiters will come from an official @lynker.com email address.

    Employment Type: FULL_TIME