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Data Science Manager Jobs in Georgia (NOW HIRING)

We are looking for a Data Science Analyst who can not just report on performance, but also ... Ability to manage client expectations, present to non-technical audiences, and pivot quickly based ...

Data Lake - Manager Are you looking to apply cyber analytics, artificial intelligence, and security ... Bachelor's degree in Engineering, Mathematics, Statistics, Computer Science, Cybersecurity, or a ...

Original Post Date: 4/3/2026 VP of Data Science Kaizen Analytix LLC, an analytics products and ... Through understanding of Agile project management methodology * Ability to travel as dictated by ...

... to manage multiple, diverse stakeholders across business areas and leadership levels * Experience with gathering and interpreting business requirements for designing and scalable data science ...

This role of Decision Science leader will work to shape and deliver high-impact, data-driven ... Collaboration across functions is required-including data management, strategy, product, and ...

Responsibilities • Collaborate with team members to develop and deploy machine learning models and data science solutions. • Work with Product Management to understand requirements and translate ...

Responsibilities • Collaborate with team members to develop and deploy machine learning models and data science solutions. • Work with Product Management to understand requirements and translate ...

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Client Data Management * Intake and validate client outcome data (performance, retention, hiring ... Collaborate with Data Scientists on methodology refinement and framework improvements * Support ...

Contributes to the strategic direction of the data science function within the organization. * Presents insights and findings to upper management, recommending improvements to data strategy and ...

Manage and direct data science team to accomplish technical goals and develop data insights * Provides guidance and supervision to Data Scientists on data science best practices and Novelis data ...

Our data science teams also embrace staying current with the evolving data science landscape ... Strong communication skills and the ability to manage multiple, diverse stakeholders across ...

Manage and direct data science team to accomplish technical goals and develop data insights * Provides guidance and supervision to Data Scientists on data science best practices and Novelis data ...

... • Manage and curate analytics datasets, ensuring data quality and consistency • Identify and resolve data anomalies and inconsistencies • Contribute to the development of data science ...

Network with both academic and industry experts to further the application of data science to business problems Direct Manager/Direct Reports: * This position typically reports to Senior Manager or ...

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Data Science Manager information

See Georgia salary details

$26.2K

$82K

$145.2K

How much do data science manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data science manager in Georgia is $82,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $106,000.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Georgia? The most popular types of Data Science jobs in Georgia are:
What are popular job titles related to Data Science Manager jobs in Georgia? For Data Science Manager jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Georgia look for? The top searched job categories for Data Science Manager jobs in Georgia are:
What cities in Georgia are hiring for Data Science Manager jobs? Cities in Georgia with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,027 per year, or $39.4 per hour.
Data Science Analyst

Data Science Analyst

Further

Atlanta, GA • On-site

Full-time

Re-posted 13 days ago


Job description

WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.
Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let's chat!
We are looking for a Data Science Analyst who can not just report on performance, but also interpret data to drive decision-making to ensure our clients turn raw data into measurable business value.
What you bring:
  • 2-5 years of professional experience in data science or advanced marketing analytics. We value a background that combines marketing domain expertise with technical data science rigor.
  • Strong command of R and/or Python for data manipulation and statistical analysis.
  • Deep understanding of statistical theory, including hypothesis testing, regression analysis, and experimental design. Familiarity with causal inference methods is a significant plus.
  • Ability to manage client expectations, present to non-technical audiences, and pivot quickly based on evolving business needs.
  • Bonus Points: Proficiency in SQL is preferred for querying data across various cloud warehouses (BigQuery, Snowflake, etc.).
  • Bonus Points: Exceptional "data-to-story" skills-the ability to explain the "so what" behind a coefficient or a p-value.
  • Bonus Points: Adobe Analytics

What you'll be doing:
  • Support discovery work to understand client challenges and develop a structured backlog of evidence-based hypotheses for testing and analysis.
  • Assist in designing and executing reporting, analytics, and optimization briefs.
  • Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked before being leveraged for reporting, analysis or modeling.
  • Perform analysis to uncover actionable insights and develop data-driven recommendations
  • Present findings to internal and client stakeholders in a clear, business-focused way.

What you'll need to accomplish in your first year:
  • Contribute consistently to the experimentation backlog through research, structured hypothesis development, and KPI alignment.
  • Deliver clear, actionable insights from analysis and test results that help clients make confident, data-driven decisions.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Apply today or check out all our opportunities!
By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.