1

Permanent Football Data Science Jobs in Georgia (NOW HIRING)

Bachelor's degree in computer science, Engineering, Applied Mathematics or related STEM field ... S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have ...

S. lawful permanent residence status.) ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary ... science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Citizen or Permanent Resident and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC ...

New

You will also be responsible for recommending innovative solutions by using various data science ... S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have ...

You will also be responsible for recommending innovative solutions by using various data science ... S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have ...

S. lawful permanent residence status.) Essential Duties and Responsibilities: Following is a ... Take accountability and ownership of end-to-end data science solution design, technical delivery ...

S. lawful permanent residence status.) Essential Duties and Responsibilities: Following is a ... Take accountability and ownership of end-to-end data science solution design, technical delivery ...

This requires you to have permanent work authorization and not need sponsoring now or in the future. (No C2C, no brokering). Data Scientist Responsibilities: * Align with SMEs to outline analytic ...

Public Health Data Engineer

Atlanta, GA

$110K - $132K/yr

Citizenship or permanent residency is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST. * Bachelor's degree in Computer Science, Data Science, Information Systems ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists and analysts to understand data needs and business goals ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists and analysts to understand data needs and business goals ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Work closely with data scientists and analysts to understand data needs and business goals ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

US Citizen or Legal Permanent Resident required per government contract Clearance: Eligible for ... You will work alongside a team of data scientists, operational leaders, and infrastructure ...

US Citizen or Legal Permanent Resident required per government contract Clearance: Eligible for ... You will work alongside a team of data scientists, operational leaders, and infrastructure ...

next page

Showing results 1-20

Permanent Football Data Science information

What are the key skills and qualifications needed to thrive as a permanent football data scientist?

To thrive as a Permanent Football Data Scientist, you need strong analytical skills, proficiency in statistics, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with programming languages like Python or R, experience with data visualization tools, and knowledge of sports analytics platforms are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex data into actionable insights for coaches and analysts. These skills are crucial for driving data-informed decisions that can enhance team performance and strategy in a competitive sports environment.

What are some common challenges faced by football data scientists in a permanent role, and how can they be addressed?

Football data scientists in permanent positions often encounter challenges such as integrating diverse data sources (e.g., match stats, tracking data, and biometric data), ensuring data quality, and translating analytical insights into actionable strategies for coaches and players. To overcome these challenges, strong communication skills are essential for collaborating with technical staff and decision-makers. Additionally, staying updated with the latest analytics tools and methodologies helps in producing relevant and impactful analyses that support the team's objectives.

What are permanent football data science jobs?

Permanent football data science jobs refer to full-time, ongoing positions within football clubs, organizations, or related companies, focused on analyzing and interpreting data to support decision-making in the sport. Professionals in these roles use statistical methods, machine learning, and data visualization to evaluate player performance, develop game strategies, and optimize team operations. Unlike contract or temporary roles, permanent positions typically offer greater job security, benefits, and opportunities for long-term career growth within the organization.

What is the difference between Permanent Football Data Science vs Football Data Analyst?

AspectPermanent Football Data ScienceFootball Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Sports Management, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentResearch-focused, often in sports analytics companies or club data departmentsOperational, supporting coaching staff and management within clubs or agencies
Employer & Industry UsageSports analytics firms, football clubs, media outletsFootball clubs, sports agencies, media outlets

Permanent Football Data Science involves advanced data modeling and predictive analytics, often requiring programming skills and a strong statistical background. Football Data Analysts focus on interpreting data to inform coaching decisions and player performance, typically with less emphasis on complex modeling. Both roles are vital in football analytics but differ in technical depth and scope.

What are the most commonly searched types of Football Data Science jobs in Georgia?

The most popular types of Football Data Science jobs in Georgia are:

What cities in Georgia are hiring for Permanent Football Data Science jobs?

Cities in Georgia with the most Permanent Football Data Science job openings:

Infographic showing various Permanent Football Data Science job openings in Georgia as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist - AI/ML (Atlanta, GA)

Spartan Technologies, Inc.

Atlanta, GA • On-site

Full-time

Re-posted 29 days ago


Job description

We are seeking a Data Scientist who will be responsible for supporting predictive analytic initiatives that empower business decisions and is available for a direct hire/permanent role. The locations for this role are Atlanta, GA, FL, KS, LA, MS, OK, PA or TX. We are not seeking candidates who require relocation at this time. Also, we will consider candidates who are residents in Texas as well. This is a remote position.
Oil or Gas Industry experience is highly preferred for this role.
This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Scientist is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
The Data Scientist will be a key member of the Data and Analytics Platform Services team. This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Azure Data Lake Store. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads.
Responsibilities:
Engage with business partners and stakeholders to understand business problems and translate them into data science solutions.
• Coordinate and collaborate with data science, data engineering, analytic engineering, and other resources to achieve business goals.
• Work cross-functionally with finance, operations, and field engineering teams on opportunities for improved insights.
• Lead and contribute to the end-to-end development and deployment of predictive and prescriptive models.
• Explore large datasets using modeling, analysis, and visualization techniques.
• Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
• Ability to mentor, coach, and lead others.
• Contribute to and help build ML/AI vision to support business strategy.
Required Knowledge, Skills, Abilities (Qualifications):
• Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
7 years of experience applying data science, AI/machine learning, and analytics techniques to business problems.
• Experience leading data science projects.
• Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
• Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems.
• Excellent strategic thinking, communication, collaboration, and problem-solving skills, including working with and articulating results to senior business stakeholders.
Preferred Knowledge, Skills, Abilities:
• It is considered a plus to have knowledge and working experience in any of the following areas: Oil and Gas use cases for predictive analytics.
Travel Requirements: 10%
Position Location: Open