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

Hyundai Mobis

IT MES Manager

Richmond Hill, GA · On-site

$78K - $96K/yr

Analyze production processes and MES data to identify improvement opportunities * Drive system ... Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience

Hyundai Mobis

IT MES Manager

Richmond Hill, GA · On-site

$78K - $96K/yr

Analyze production processes and MES data to identify improvement opportunities * Drive system ... Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience

Hyundai Mobis

Specialist, Production Administrative Support

GA · On-site

$16.25 - $22/hr

Overview Works directly with Production management to provide support of the Production process and ... Gather data and conduct trend analysis, including charts and graphs (Pareto charts, bar graphs ...

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All JobsData Science Product JobsData Science Product Manager JobsData Science Product Manager Jobs in Pooler, GA

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 Aug 19, 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.

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.

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.

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:

Data Science Product Manager jobs near you
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.

Production Tech Asst. Manager (Bilingual EN/KO)

Daechang Seat Savannah Corp

Bloomingdale, GA • On-site

$75K - $90K/yr

Other

Re-posted 22 days ago

Job description

Description:

Summary

The role of this position is to provide leadership to all operations in an assigned production department. This requires close coordination and communication with the facility maintenance and headquarters to ensure that production operations meet internal and external customer requirements.

Supervisory Responsibilities: Yes

Essential Functions (To perform within this position successfully, the incumbent must be able to perform each essential duty satisfactorily. Other duties may be assigned.)

  • Develop and maintain engineering documents such as PFMEA, etc.
  • Ensure product and process quality meet the specifications required.
  • Improve manufacturing efficiency by analyzing and planning the production process, logistic flow, and equipment layout.
  • Support and lead continuous improvement, problem-solving, and process improvement activities.
  • Implement continuous improvement activities for ongoing scrap reduction, cycle time reduction, and downtime reduction.
  • Ensures adherence to standard processes for data collection, documentation, and reporting.
  • Generate and execute improvement ideas for cost reduction, labor savings, material flow optimization, and safety.
  • Communicate with relevant departments such as QA, Research, HQ, and Business service staff to resolve any issues that arise in the plant.
  • Review process machine/process tooling specifications and confirm manufacturing specifications.
  • Support to train maintenance members about products and processes.
  • Comply with the Health, Safety, and Environmental Policies.
  • May be required to perform other related duties as assigned.


Requirements:

Basic Qualifications (The requirements listed below represent the knowledge, skills, and/or ability required and preferred for this position.)

Required Education & Experience:

  • Bachelor's degree in engineering.
  • Minimum 5 years of production engineering in the automotive industry.
  • Able to use and maintain welding robot (Preference given to be able to use Hyundai and Yaskawa welding robots)
  • Ability to draw using CAD software - Experience with Autodesk preferred.
  • Proficiency with Microsoft Office (Word, Excel, and PowerPoint).
  • Excellent time management skills with a proven ability to meet deadlines.
  • Excellent verbal and written communication skills.
  • Bilingual (English/Korean) is required.
  • Able to work rotating shifts.
  • Rotating shifts are defined as working a day shift, then an evening/night shift on a rotating schedule.
  • Able to work extended hours, shifts and weekends based on business needs.
  • Regular and punctual attendance.
  • Able to work well with others and collaborate as a team.
  • PLC knowledge is preferred.