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Data Science Product Manager Jobs in Georgia (NOW HIRING)

Required : • 7+ years of experience in a data science role--preferably in NLP--in an agile, production-oriented environment. • 3+ years of experience managing teams of data scientists and/or ...

We will incorporate best-in-class engineering and product management principles and your guidance ... We are an applied data science team operating in an agile, production-oriented environment, and we ...

Data Science Tutor

Woodstock, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Marietta, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Alpharetta, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Johns Creek, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Sandy Springs, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Athens, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Augusta, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Duluth, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Carrollton, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Roswell, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Lawrenceville, GA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

You'll partner closely with data science, engineering, and GTM teams to ship AI-powered analytics ... Director, Product As a Product Manager at Trella, you will: * Own product strategy, roadmap, and ...

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Showing results 1-20

Data Science Product Manager information

See Georgia salary details

$43.5K

$134.6K

$166.3K

How much do data science product manager jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data science product manager in Georgia is $134,599.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $166,300.00 per year, depending on experience, location, and employer.

What is a Data Science Product Manager?

A Data Science Product Manager is a professional who bridges the gap between data science teams and business objectives by guiding the development of data-driven products. They work closely with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure successful product delivery. Their role involves understanding both the technical aspects of machine learning and analytics as well as user needs and business strategy. This ensures that data-powered products are effective, user-focused, and aligned with organizational goals.

What is the hottest job of the 21st century?

Data Science Product Managers are among the most in-demand roles in the 21st century, combining skills in data analysis, product development, and strategic planning. They oversee data-driven products and require knowledge of tools like SQL, Python, and machine learning, often working in fast-paced tech environments. The role is expected to grow as organizations increasingly rely on data to make decisions.

Is 40 too late for data science?

A Data Science Product Manager can enter the field at age 40, as experience, domain knowledge, and skills like programming and statistical analysis are highly valued. Many professionals transition into data science roles later in their careers, and continuous learning through certifications or courses can facilitate this shift. Age is less important than relevant skills and experience in the data science industry.

Can data scientists make $300k?

Data science product managers and senior data scientists with extensive experience, specialized skills, and working in high-cost-of-living areas can earn salaries of $300,000 or more. Achieving this level often requires advanced knowledge of machine learning, strong business acumen, and leadership responsibilities, along with experience at top companies or in executive roles.

What are the key skills and qualifications needed to thrive as a Data Science Product Manager, and why are they important?

To thrive as a Data Science Product Manager, you need a strong background in product management, data analytics, and a foundational understanding of machine learning, often supported by a degree in a technical or quantitative field. Familiarity with tools like SQL, Python, JIRA, and knowledge of data platforms and agile methodologies is typically required. Excellent communication, strategic thinking, and the ability to bridge technical and non-technical teams are vital soft skills. These competencies ensure successful product development, effective stakeholder alignment, and the delivery of impactful data-driven solutions.

What is the difference between Data Science Product Manager vs Data Analyst?

AspectData Science Product ManagerData Analyst
Required credentialsBackground in data science, product management, or related fields; often requires experience with machine learning and data-driven product developmentTypically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics
Work environmentCollaborates with product teams, data scientists, engineers; focuses on developing data products and strategiesWorks with business units to interpret data, generate reports, and support decision-making
Employer and industry usageUsed in tech companies, e-commerce, and organizations developing data-driven productsCommon across finance, marketing, healthcare, and business intelligence roles

The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?

A Data Science Product Manager plays a crucial role in bridging the gap between business objectives and technical teams. Throughout the product lifecycle, they work closely with data scientists to define project goals, prioritize features, and translate business needs into actionable data-driven solutions. They also coordinate with engineers to ensure the seamless integration of machine learning models into products, address technical constraints, and facilitate communication between cross-functional teams. This collaborative approach ensures that data science initiatives are both technically feasible and aligned with overall business strategy.

Can a data scientist be a product manager?

A data scientist can transition to a product manager role, especially if they develop skills in project management, user experience, and business strategy. While the roles have different focuses—data scientists analyze data and product managers oversee product development—both require strong communication and cross-functional collaboration. Experience with tools like A/B testing, roadmapping, and stakeholder management can facilitate this transition.
What are popular job titles related to Data Science Product Manager jobs in Georgia? For Data Science Product Manager jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Science Product Manager jobs in Georgia look for? The top searched job categories for Data Science Product Manager jobs in Georgia are:
What cities in Georgia are hiring for Data Science Product Manager jobs? Cities in Georgia with the most Data Science Product Manager job openings:
Infographic showing various Data Science Product Manager job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $134,599 per year, or $64.7 per hour.
Senior Data Scientist & Product Manager (17607)

Senior Data Scientist & Product Manager (17607)

The Baer Group

Atlanta, GA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Baer is looking for Senior Data Scientist & Product Manager for a Contact-to-Hire project located in Atlanta, GA.


Title: Senior Data Scientist & Product Manager

Location: Hybrid – Atlanta, GA (3 days/week on-site)

Duration: Contract-to-Hire

Rate: All-inclusive

Alignment: W2 or C2C


Overview:


We are seeking an experienced Senior Data Scientist & Product Manager to lead the strategy, development, and delivery of innovative Computer Vision solutions. This hybrid role combines technical leadership in AI/ML and computer vision with product ownership, driving the roadmap, vision, and business outcomes for computer vision applications. You will collaborate with cross-functional teams, business stakeholders, and external technology partners to deliver scalable, high-impact AI products.


Description:


  • Lead the design, development, and optimization of Computer Vision and Machine Learning solutions
  • Define and manage the product vision, roadmap, priorities, and business objectives for Computer Vision products.
  • Build and enhance image processing pipelines, rules engines, and AI-powered applications.
  • Partner with engineering, data science, and business teams to deliver scalable, high-quality solutions.
  • Work with external Image Recognition (IR) vendors to improve model performance, accuracy, and product quality.
  • Define product KPIs, monitor performance, and drive continuous improvements based on data and user feedback.
  • Support AI model lifecycle activities including training, validation, deployment, monitoring, and optimization.
  • Manage product backlogs, requirements, release planning, and stakeholder communications.
  • Research emerging AI, Computer Vision, and Generative AI technologies to identify new business opportunities.
  • Mentor technical teams and provide leadership on best practices in AI, Machine Learning, and product development.



Requirements:



  • 7+ years of experience in Data Science or Machine Learning, including 3+ years in Computer Vision.
  • Strong experience with Python and Computer Vision frameworks such as PyTorch, TensorFlow, and OpenCV.
  • Hands-on knowledge of the complete Machine Learning lifecycle, including model deployment and monitoring.
  • Experience leading AI/ML projects from concept through production.
  • Proven experience managing product roadmaps, priorities, and business outcomes.
  • Strong analytical, problem-solving, communication, and stakeholder management skills.
  • Experience working with cross-functional teams and external technology partners.
  • Experience as a Product Owner or Product Manager for AI/ML products.
  • Knowledge of Image Recognition solutions in Retail, CPG, or Supply Chain environments.
  • Experience with Azure, Databricks, APIs, SDKs, CI/CD, and cloud-native architectures.
  • Familiarity with Generative AI, foundation models, and modern AI technologies.
  • Experience with rules engines, business logic frameworks, and data platforms.
  • Bachelor's Degree.


Company Overview:


Baer provides best-in-class engagement experiences for our consultants. Our job requirements are carefully vetted and are typically associated with pivotal programs offering tremendous opportunities to expand your skills leveraging the latest solutions.


Baer is an equal opportunity employer including disability/veteran.


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