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Data Science Manager Remote Jobs in Georgia (NOW HIRING)

Sr. Anlst, Data Science & Eng

Atlanta, GA · On-site +1

$82K - $104K/yr

Employer will accept a bachelor's degree in computer science, Industrial Engineering, Management ... Data Science and Engineering Analyst-related occupation. Position requires five (5) years of ...

AI and Data Science Engineer III

Atlanta, GA · On-site +1

$110K - $132K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

This role requires deep knowledge in specialized data science areas, particularly in recommendation ... This position typically reports to Manager or above * This position has 0 Direct Reports Travel ...

The Opportunity As a Data Scientist, you will work with your manager and Lead Data Scientist to ... Team members are expected to maintain a dedicated and ergonomically appropriate remote workspace.

Job Title Commercial Pricing Manager - Remote Requisition Number R7769 Commercial Pricing Manager ... BA/BS in statistics, mathematics, actuarial science or related area and 5 years of post bachelor ...

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Data Science Manager Remote information

What does a remote Data Science Manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

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

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a Data Science Manager working remotely typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

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

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

What are the most commonly searched types of Data Science Remote jobs in Georgia? The most popular types of Data Science Remote jobs in Georgia are:
What are popular job titles related to Data Science Manager Remote jobs in Georgia? For Data Science Manager Remote jobs in Georgia, the most frequently searched job titles are:
What cities in Georgia are hiring for Data Science Manager Remote jobs? Cities in Georgia with the most Data Science Manager Remote job openings:
Infographic showing various Data Science Manager Remote job openings in Georgia as of May 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.
Sr. Anlst, Data Science & Eng

Sr. Anlst, Data Science & Eng

Westrock

Atlanta, GA • On-site, Remote

$82K - $104K/yr

Full-time

Posted 12 days ago


Job description

General Information
Job ID
ATR62773
Posting Job Title
Sr. Analyst, Data Science & Engineering
Locations
GA WFH Georgia
Employment Type
Full Time
Date Posted
28-May-2026
Relocation Support
No
Description & Requirements
Smurfit Westrock (NYSE:SW) is the go-to leader and partner of choice in sustainable packaging. We are dedicated to creating efficient and scalable paper and packaging solutions to help solve complex packaging challenges. Guided by our values of safety, loyalty, integrity and respect, we are committed to delivering meaningful value for shareholders, customers, employees and the communities where we operate.
Employer: WestRock Services, LLC (d/b/a Smurfit Westrock)
Job Title: Sr. Analyst, Data Science & Engineering (multiple openings)
ATR: ATR62773
Job Location: 1000 Abernathy Road NE, Atlanta, GA 30328
Job Type: Full Time
Travel: Yes - Domestic travel required 10%-20% of the time to worksite locations
Telecommute: Yes
Job Duties:
  • Evaluate and implement data engineering technology, tools, and frameworks leveraging the Integration platform and cloud services supporting WestRock's integrations investments.
  • Drive strategic vision for API, EAI, EDI and B2B integrations within WestRock
  • Establish best practices in Integration technologies and develop self-servicing tools.
  • Maintain the health of infrastructure that supports integrations.
  • Build and maintain Integration platforms and services using webMethods.
  • Define mapping requirements.
  • Develop and support complex interfaces between internal business systems using various adapters, file-based mechanisms, batch and real-time processing.
  • Develop EDI maps and set up new Trading Partners.
  • Create EDI transaction testing scenarios, perform testing and partner onboarding.
  • Work with trading partners to establish connectivity and test EDI documents.
  • Coordinate with ERP/O2C teams to test and integrate documents for new partners.
  • Setup middle-ware configurations for data routing.
  • Work with backend application teams to complete EDI setups.
  • Troubleshoot configuration issues, mapping errors, EDI compliance errors and data issues
  • On call production support
  • Code Review
  • Design integrations

Position can be performed from anywhere in the U.S. Domestic travel required 10%-20% of the time to worksite locations
Requirements:
Employer will accept a bachelor's degree in computer science, Industrial Engineering, Management Information Systems, or related field and five (5) years of progressive, postbaccalaureate experience in job offered or in a Data Science and Engineering Analyst-related occupation.
Position requires five (5) years of experience in the following:
  1. Experience with IBM (Software AG) products such as: IntegrationServer/Trading Networks; BrokerServer/Universal Messaging; Business ProcessManagement Suite (BPMS); Adapters; MWS; TNConsole; Deployer; webMethods flow/Javaservices and configuration;
  2. Experience in EDI structures and looping concepts
  3. Experience of setting up/configuring partner profiles, trading partner agreement, processingrules in MWS
  4. Experience with ANSI X12, EDIFact, cXML supply chain transactions
  5. Experience with VANs, understanding of communication protocols such as FTP, SFTP, FTPS AS2, etc.
  6. Experience with IDOC standards
  7. Experience with adapters such as JDBC, MQ, SAP, etc.
  8. Experience with webMethods Administration.

Contact: Email resume to: greg.keller@westrock.com (ATR62773) must be included in resume, cover letter, and subject line.
Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.