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Data Science Product Manager Jobs in Pooler, GA (NOW HIRING)

Strong analytical and problem-solving skills with the ability to interpret complex data ... science in meaningful ways. Our global team is dedicated to combining best-in-class products and ...

Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 ... Prior experience in product management, engineering, or a fast-moving startup role is highly ...

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

The Inside Sales Representative (ISR) will manage an assigned territory and engage healthcare ... We believe in pushing the boundaries of human science and data science to make the biggest impact ...

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Data Science Product Manager information

See Pooler, GA salary details

$46.8K

$144.8K

$179K

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

As of Jul 28, 2026, the average yearly pay for data science product manager in Pooler, GA is $144,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,100.00 and $179,000.00 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 job categories do people searching Data Science Product Manager jobs in Pooler, GA look for? The top searched job categories for Data Science Product Manager jobs in Pooler, GA are:
What cities near Pooler, GA are hiring for Data Science Product Manager jobs? Cities near Pooler, GA with the most Data Science Product Manager job openings:
Infographic showing various Data Science Product Manager job openings in Pooler, GA as of June 2026, with employment types broken down into 1% As Needed, 61% Full Time, 35% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $144,823 per year, or $69.6 per hour.
Product Manager Internships

Product Manager Internships

Danaher

Savannah, GA • On-site

Other

Posted 6 days ago


Danaher rating

7.7

Company rating: 7.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

How It Works

This is not an active job listing. By submitting your interest, you’ll be among the first to know when internship opportunities open at Danaher. While the roles described here reflect the types of positions we typically recruit for, specific openings have not yet been finalized. If your background aligns with future opportunities, we’ll reach out directly when formal applications become available.

About Product Management Roles at Danaher

Are you excited by the challenge of shaping innovative products that accelerate the future of medicine? As a Product Management Intern at Danaher, you’ll join a collaborative team working across R&D, marketing, and sales to bring cutting-edge life sciences solutions from ideation to market. This role would offer hands-on experience in product strategy, market research, and cross-functional collaboration that directly impacts our product portfolio’s success.

What You Might Work On
  • Assisting in the development and execution of product strategies and roadmaps

  • Conducting market research and competitive analysis to guide product decisions

  • Creating product documentation such as user stories, wireframes, and product briefs

  • Collaborating with cross-functional teams to define detailed product requirements

  • Monitoring product performance and gathering user feedback for continuous improvement

  • Supporting product launch activities including marketing and sales enablement

Who This Is For
  • Students currently pursuing an MBA or related graduate degree

  • Strong analytical and problem-solving skills with the ability to interpret complex data

  • Experience driving relevant projects and working collaboratively across teams

Bonus:
  • Experience creating business cases and contributing to product management projects
Company Description

At Aldevron, part of the Danaher family, we’re shaping the future of medicine by advancing science in meaningful ways. Our global team is dedicated to combining best-in-class products and service with an ideal environment to enable vital new discoveries worldwide. We value diverse backgrounds and experiences and invest in your growth through hands-on learning and leadership engagement. Join us to accelerate the discovery, development, and delivery of life-changing solutions.


What Danaher employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Danaher

Sourced by ZipRecruiter

We are a science and technology innovator committed to helping our customers solve complex challenges, and improving quality of life around the world. A global family of more than 20 operating companies, we drive meaningful innovation in some of today's most dynamic, growing industries.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

1984