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Relocation Package Data Science Jobs in Atlanta, GA

Lead the development and successful delivery of data science and generative AI solutions in ... That is why we created our Total Rewards Program, a comprehensive benefits package that extends ...

You will also be responsible for recommending innovative solutions by using various data science ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

You will also be responsible for recommending innovative solutions by using various data science ... This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term ...

The role requires hands-on experience across the full data science lifecycle and close ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

The role requires hands-on experience across the full data science lifecycle and close ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

The role requires hands-on experience across the full data science lifecycle and close ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

AWS Data Scientist

Atlanta, GA · On-site

$85K - $105K/yr

The role requires hands-on experience across the full data science lifecycle and close ... Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time ...

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Relocation Package Data Science information

See Atlanta, GA salary details

$36.1K

$118K

$189K

How much do relocation package data science jobs pay per year?

As of Jul 19, 2026, the average yearly pay for relocation package data science in Atlanta, GA is $118,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a relocation package for data science jobs?

A relocation package for data science jobs is a set of benefits provided by employers to help new hires move to a new location for work. These packages typically cover expenses such as moving costs, temporary housing, travel expenses, and sometimes assistance with finding permanent housing. The goal is to reduce the financial and logistical burden of relocating so that data scientists can start their new roles smoothly. The specifics of a relocation package can vary widely between companies, locations, and job levels.

How does a typical relocation package support data science professionals moving to a new city or country for a role?

A typical relocation package for data science professionals often includes assistance with moving expenses, temporary housing, and support with visa or work permit processes. You may also receive help with finding permanent accommodation and settling-in services, such as local orientation or language courses. These benefits are designed to ease the transition so you can focus on your new role, collaborate effectively with your team, and integrate quickly into the organization. Relocation packages vary by company, so it's a good idea to clarify the details during the hiring process.

What are the key skills and qualifications needed to thrive as a Data Scientist, especially when utilizing relocation packages, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, programming (typically Python or R), and a relevant degree such as in computer science or mathematics. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud platforms and big data systems are commonly required, while certifications like AWS Certified Data Analytics or Google Data Engineer can be advantageous. Excellent problem-solving, communication, and adaptability skills help you collaborate across diverse teams and adjust to new environments, especially during relocation. These skills ensure you can extract actionable insights from complex data, integrate smoothly into new workplaces, and drive impactful business decisions.

What is the difference between Relocation Package Data Science vs Data Analyst?

AspectRelocation Package Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, consulting firms, or finance sectors with complex data projectsBusiness, marketing, or finance departments analyzing data for insights
Employer & Industry UsageCommon in industries offering relocation packages for specialized rolesWidely used across industries for routine data analysis tasks

Relocation Package Data Science roles typically require advanced degrees and focus on developing predictive models and algorithms, often in tech or finance sectors. Data Analysts usually have similar educational backgrounds but focus on interpreting data and generating reports. Both roles may involve relocation, but Data Science positions tend to be more specialized and technical.

What are popular job titles related to Relocation Package Data Science jobs in Atlanta, GA? For Relocation Package Data Science jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Relocation Package Data Science jobs in Atlanta, GA look for? The top searched job categories for Relocation Package Data Science jobs in Atlanta, GA are:
Infographic showing various Relocation Package Data Science job openings in Atlanta, GA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,032 per year, or $56.7 per hour.
Data Scientist - Specialist

Data Scientist - Specialist

Equifax, Inc.

Alpharetta, GA • On-site

Full-time

Medical, Retirement, PTO

Re-posted 22 days ago


Equifax rating

7.6

Company rating: 7.6 out of 10

Based on 25 frontline employees who took The Breakroom Quiz


Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Equifax Enterprise Innovation Office is seeking a Data Scientist who can integrate diverse big data assets into analytical solutions under management guidance to solve difficult business problems. With a strong heritage of innovation and leadership, we leverage our unique data, advanced analytics and proprietary technology to enrich the performance of businesses and the lives of consumers.
Qualified candidates will have a passion for mathematics, statistics, AI/Machine learning, data gathering, and experience in financial modeling. The ideal candidate will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, and to push the boundaries of what is possible with big data analytics/modeling. The ideal candidate will be passionate about exploring why and how models/techniques work and has a deep desire to explain the unexplainable.
Equifax has a hybrid work schedule that allows for two days of remote work (Monday and Friday) with 3 days onsite (Tuesday thru Thursday) every week.
This role reports to our office Alpharetta, GA or our Midtown (OAC, Atlanta) office.
This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.
This is a direct-hire role and is not open to C2C or vendors.
What you'll do
  • Be an integral part of the Data Science Lab team that works closely with internal clients in all phases of prototype development and deployment
  • Research innovative data solutions (in distributed cloud computing constrained and unconstrained optimization) to solve real market problems
  • Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative product development
  • Work with key stakeholders and understand their needs to develop advanced solutions or improve existing solutions around big data and advanced analytics
  • Remain current on new developments in AI/Machine Learning, distributed algorithms, Big Data, Predictive Analytics, and Cloud Technology
  • Utilize subject matter expertise of data structures, analytics, algorithms/models, and strong computer science fundamentals to lead data preparation, analytics, and development of deployable solutions across multiple projects
  • Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Lead the analytical strategy on critical technical capabilities
  • Perform as lead technical data scientist for multiple technical and business domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions and asking questions
  • Evaluate the technical work of experienced data scientists guiding them on deliverable quality and accuracy

What experience you need
  • Master's degree or higher in Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Economics, Engineering or related quantitative field, PhD preferred
  • 7-10 years of experience in a related role, with experience demonstrating leadership capabilities
  • 5+ years experience applying predictive analytics and modeling to solve business problems
  • 5+ years of experience with Python, Tensorflow, SQL (strong skills and scripting experience), and Spark with advanced experience in data manipulation libraries (e.g., Pandas, Dask, Spark DataFrames)
  • Theoretical and practical understanding of algorithm time and space complexity, and a proven ability to apply this knowledge to develop efficient and scalable data science solutions
  • Excellent problem-solving skills, with the ability to navigate ambiguity and deliver results in a fast-paced environment

What could set you apart
  • 1+ years Experience managing teams of at least two employees
  • Experience with large-scale data processing in distributed environments
  • Strong communication skills of analytical results to technical and non-technical audiences alike
  • Experience working on big data platforms (e.g., Google Cloud, AWS, Snowflake, Hadoop) a plus
  • Extensive experience with NLP (Natural Language Processing), LLMs (Large Language Models) and/or Generative AI
  • Agile development including Scrum
  • Ph.D. degree in mathematics, statistics, computer science, or related quantitative field

#LI-AM2
#LI-Hybrid
We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Primary Location:
USA-Atlanta JV White
USA-Atlanta-One-Atlantic-Center
Function:
Function - Data and Analytics
Schedule:
Full time

What Equifax employees say

Pay

Benefits

Hours and flexibility

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About Equifax

Sourced by ZipRecruiter

As a global data, analytics, and technology company, we play an essential role in the economy by helping companies in diverse industries such as automotive, communications, utilities, financial services, fintech, healthcare, insurance, mortgage, professional services, retail, e-commerce, and government agencies, make critical decisions with greater confidence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Year founded

1899

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