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Remote Meta Data Science Jobs in Atlanta, GA (NOW HIRING)

Lead and grow a high-performing team of pricing analysts and data scientists. * Oversee development ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

... and remote resources to get the job done - consistently Here is the Job details: Title: Data ... Masters in mathematics, statistics or computer science or related field - Ph D. degree preferred 5 ...

Ability to analyze campaign performance data using tools like Google Analytics, GA4, Excel, or ... remote-first company, you'll have the ability to work from anywhere in the US, with the option to ...

Data Architect (Remote)

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

Data Architect 1 - US Remote About Axiom: As the leading alternative legal services provider ... Serve as the primary data architecture liaison to the Product, Operations, and Data Science ...

Senior Data Engineer

Atlanta, GA · Remote

$101K - $138K/yr

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a ... Disability Remote Work Flexibility Momentive Software actively embraces diversity and equal ...

Senior Content W riter Remote in ET or CT time zone, Atlanta preferred Direct Hire The Senior ... Basic understanding of SEO and writing meta data, keywords, and alt text. * A self-starter that ...

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Remote Meta Data Science information

See Atlanta, GA salary details

$36.1K

$118K

$189K

How much do remote meta data science jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote meta 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 the difference between Remote Meta Data Science vs Remote Data Analyst?

AspectRemote Meta Data ScienceRemote Data Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; knowledge of programming languages like Python or RBachelor's degree in Statistics, Mathematics, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative remote teams, often with data science and engineering departmentsRemote work with focus on data reporting, visualization, and business insights
Employer & Industry UsageTech companies, e-commerce, finance, and healthcareMarketing agencies, retail, finance, and consulting firms

Remote Meta Data Science involves advanced data modeling, machine learning, and statistical analysis, often requiring programming skills and a strong technical background. Remote Data Analysts focus on interpreting data, creating reports, and visualizations to support business decisions. While both roles work remotely and require data handling skills, Meta Data Scientists typically engage in more complex modeling, whereas Data Analysts concentrate on data interpretation and presentation.

How does a remote Meta Data Science role typically collaborate with cross-functional teams despite being off-site?

In a remote Meta Data Science position, collaboration with cross-functional teams—such as product managers, engineers, and designers—is primarily facilitated through virtual communication tools like video conferencing, chat platforms, and collaborative project management software. Regular stand-ups, sprint meetings, and asynchronous updates help ensure alignment on project goals and timelines. While remote work offers flexibility, it also requires proactive communication and documentation to maintain transparency and foster effective teamwork. Building relationships remotely may take extra effort, but companies like Meta provide structured onboarding and virtual community events to support team cohesion.

What is a Remote Meta Data Scientist?

A Remote Meta Data Scientist is a professional who works for Meta (formerly Facebook) in the field of data science, but does so from a remote location instead of a traditional office. They analyze large datasets, build predictive models, and provide insights to help Meta improve its products and user experience. Their work may involve machine learning, statistical analysis, and collaborating virtually with cross-functional teams. Remote Meta Data Scientists use tools such as Python, SQL, and data visualization software to solve complex business problems.

What are the key skills and qualifications needed to thrive as a Remote Meta Data Scientist, and why are they important?

To thrive as a Remote Meta Data Scientist, you need strong analytical skills, expertise in statistics and machine learning, and a degree in a quantitative field such as computer science or mathematics. Proficiency with data science tools like Python, R, SQL, and platforms such as TensorFlow or PyTorch is typically required, along with experience using collaboration tools for remote work. Excellent communication, self-motivation, and problem-solving abilities are essential soft skills for remote collaboration and translating insights to stakeholders. These skills ensure you can independently deliver impactful data-driven solutions while effectively collaborating across distributed teams.
What are the most commonly searched types of Meta Data Science jobs in Atlanta, GA? The most popular types of Meta Data Science jobs in Atlanta, GA are:
What are popular job titles related to Remote Meta Data Science jobs in Atlanta, GA? For Remote Meta Data Science jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Remote Meta Data Science jobs in Atlanta, GA look for? The top searched job categories for Remote Meta Data Science jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Meta Data Science jobs? Cities near Atlanta, GA with the most Remote Meta Data Science job openings:
Senior Data Science Manager - Marketing Science

Senior Data Science Manager - Marketing Science

PrizePicks

Atlanta, GA • On-site, Remote

$180K - $210K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?
The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products, to support the PrizePicks business across all departments. As Senior Data Science Manager, Marketing Science, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development & causal inference, to enable better & more rapid decision making.
What you'll do:
  • Lead a team of data scientists, covering topics across retention and acquisition marketing
  • Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution
  • Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes
  • Integrate LLMs into data & operations workflows, to increase throughput & scale across domains
  • Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team
  • Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made
  • Collaborate with senior leadership, to align marketing data science effort with overall company & marketing goals
What you have:
  • 7+ years of experience in data science & analytics
  • 5+ years of experience in a marketing, customer, or revenue data-related role
  • 3+ years of experience managing or mentoring data scientists, analysts, or engineers
  • Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred
  • Proven experience in building and implementing production-grade machine learning models in an operations support capacity
  • Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes
  • Exceptional communicator, with experience presenting to senior leadership
  • Ability to influence cross-functional partners (Marketing, Finance, Product)
  • Comfortable balancing hands-on work with team leadership
  • Technical Skills
    • Strong statistical proficiency
    • Python for statistical computing, model development, and data visualization
    • Advanced SQL
Where you'll live:
  • While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Working at PrizePicks:
The typical salary range for this position is $180,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.
Date Posted: 5/11/2026
First Extension: 6/11/2026
Benefits you'll receive:
In addition to your great compensation package, full-time employees will be eligible for the following perks:
  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development

You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.