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Data Scientist Project Manager Jobs in Atlanta, GA

Data Scientist

Atlanta, GA ยท On-site

$90 - $95/hr

Ability to develop innovative solutions and manage complex data science projects. * Must pass pre-employment qualifications of Cherokee Federal. Data Scientist I Preferred Qualifications requested:

Data Scientist

Atlanta, GA ยท On-site

$90 - $95/hr

Ability to develop innovative solutions and manage complex data science projects. * Must pass pre-employment qualifications of Cherokee Federal. Data Scientist I Preferred Qualifications requested:

Data Scientist

Atlanta, GA ยท On-site

$90K - $95K/yr

Ability to develop innovative solutions and manage complex data science projects. * Must pass pre-employment qualifications of Cherokee Federal. Data Scientist I Preferred Qualifications requested:

Data Scientist

Atlanta, GA ยท On-site

$90K - $95K/yr

Ability to develop innovative solutions and manage complex data science projects. * Must pass pre-employment qualifications of Cherokee Federal. Data Scientist I Preferred Qualifications requested:

Job ID: 65041 Data Scientist Client: City of Atlanta- Aviation Duration: Location: 6000 N. Terminal ... Project Management: Capable of managing multiple projects simultaneously while meeting deadlines ...

You will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the team. This ...

Data Scientist

Atlanta, GA ยท On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data ...

Senior Data Scientist

Atlanta, GA ยท On-site

$101 - $189/hr

Data Science & Modeling * Design, develop, validate, and deploy statistical models, machine ... Ability to independently manage complex projects and make sound decisions regarding analytical ...

The Lead Data Scientist is responsible for leading data science initiatives that drive business ... This position has 0 Direct Reports and leads/manages projects Travel Requirements: * Typically ...

Data Scientist

Atlanta, GA ยท On-site +1

Develop and project manage modeling projects and statistical analyses. * Effectively communicate ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Group Nine LLC is seeking a Project Manager to drive project management activities in Data Services, MDM, BI, and Data Science projects. The role involves managing multiple medium to high complexity ...

May lead small projects and work independently on solution development; Execute tasks with high ... This position typically reports to Manager or above * This position has 0 Direct Reports Travel ...

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Data Scientist Project Manager information

See Atlanta, GA salary details

$44.2K

$158.7K

$234.2K

How much do data scientist project manager jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data scientist project manager in Atlanta, GA is $158,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,400.00 and $163,500.00 per year, depending on experience, location, and employer.

What is a data scientist project manager?

A Data Scientist Project Manager is a professional who oversees data science projects from conception through completion, ensuring that project goals align with business objectives. They bridge the gap between data science teams and stakeholders, managing timelines, resources, and communication. In addition to technical knowledge in data science and analytics, they possess strong project management skills to coordinate tasks, mitigate risks, and deliver results. Their role is essential for translating complex data-driven insights into actionable business strategies. They often use methodologies like Agile or Scrum to guide project workflows and adapt to changing requirements.

What are the key skills and qualifications needed to thrive as a data scientist project manager?

To thrive as a Data Scientist Project Manager, you need a solid background in data science, analytics, and project management, often supported by degrees in computer science, statistics, or business and certifications like PMP or Agile. Familiarity with tools such as Python, R, SQL, project management software (e.g., Jira, Trello), and cloud platforms is crucial. Excellent communication, leadership, and problem-solving abilities help bridge gaps between technical teams and stakeholders. These skills ensure successful project delivery by aligning data-driven insights with business objectives and effective team coordination.

How do data scientist project managers typically balance technical data work with project management responsibilities?

Data Scientist Project Managers often split their time between hands-on data analysis and overseeing project progress. They commonly coordinate with cross-functional teams, set project timelines, and ensure that data solutions align with business objectives while occasionally contributing code or analytical insights. Effective communication and time management are essential, as they must bridge the gap between technical teams and stakeholders. This dual responsibility offers exposure to both technical growth and leadership development, making it ideal for professionals seeking advancement into higher management roles.

What is the difference between Data Scientist Project Manager vs Data Analyst Project Manager?

AspectData Scientist Project ManagerData Analyst Project Manager
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fields; certifications like PMP or AgileBachelor's in Data Analysis, Business, or related fields; certifications like PMP or Agile
Work EnvironmentLeads data science projects, collaborates with data scientists and engineersManages data analysis projects, works with analysts and business teams
Employer & Industry UsageTech companies, finance, healthcare, industries with advanced analyticsRetail, marketing, finance, industries relying on data reporting

The main difference is that Data Scientist Project Managers oversee data science initiatives involving complex modeling and algorithms, while Data Analyst Project Managers focus on managing data reporting and analysis projects. Both roles require project management skills and relevant certifications, but their technical focus and team collaboration differ.

Can a data scientist become a project manager?

A data scientist can transition to a project manager role by developing skills in leadership, communication, and project planning, often supported by certifications like PMP or Agile. Their technical expertise can be valuable in managing data-driven projects, but they typically need to gain experience in managing teams and project workflows.

What are popular job titles related to Data Scientist Project Manager jobs in Atlanta, GA?

For Data Scientist Project Manager jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Data Scientist Project Manager jobs in Atlanta, GA look for?

The top searched job categories for Data Scientist Project Manager jobs in Atlanta, GA are:

Infographic showing various Data Scientist Project Manager job openings in Atlanta, GA as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $158,691 per year, or $76.3 per hour.

Data Scientist

Cherokee Federal

Atlanta, GA โ€ข On-site

$90 - $95/hr

Other

Medical, Dental, Vision, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Scientist I

The Data Scientist I provides data science, statistical, and advanced analytical support to CDC programs. This role focuses on extracting knowledge from structured and unstructured public health data to support analysis, research, surveillance, improved understanding and communication, visualization, health services delivery, and data-driven decision-making.

The Data Scientist I develops, implements, and monitors advanced analytic, computational, and predictive modeling tools and applies machine learning and artificial intelligence (AI) to public health data. The position works with data from multiple surveillance systems and programs and collaborates with Data Engineering, Product Management, User Experience, subject-matter experts, and other business units to develop innovative data science solutions.

This is a scientific position requiring strong analytical and technical skills, methodological expertise, and the ability to translate complex public health data into meaningful findings, visualizations, reports, and solutions that support CDC programs and public health decision-making.

Compensation & Benefits:

Estimated Starting Salary Range for Data Scientist I:$90,000.00-95,000.00/yr.

Pay commensurate with experience.

Full-time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided.Benefits are subject to change with or without notice.

Data Scientist I Responsibilities Include:

  • Define and develop statistical and advanced analytic methods and solutions for complex data science projects.
  • Gather, integrate, process, and analyze data from multiple public health surveillance, research, and administrative sources.
  • Conduct exploratory data analysis, anomaly detection, measurement, and structured and unstructured data analysis.
  • Apply machine learning, artificial intelligence (AI), predictive modeling, and prescriptive modeling to public health data.
  • Interpret findings and translate analytical results into actionable insights for public health programs and decision-making.
  • Develop, implement, and monitor advanced analytic and computational tools for CDC programs.
  • Provide technical consultation on health science, data science, programming, and advanced analytical methods as applied to public health.
  • Collaborate with epidemiologists, statisticians, computer scientists, economists, policy analysts, public health professionals, and other subject-matter experts on surveillance, research, and analytical studies.
  • Provide methodological support and innovative solutions for complex analytical projects.
  • Develop data visualizations and other approaches to communicate findings and support understanding of public health data.
  • Support system automation and processes that improve health services delivery and decision-making.
  • Prepare comprehensive reports describing data quality, analytical methodology, results, and relevance to the public health issue under study.
  • Present and disseminate analytical findings to technical and non-technical audiences.
  • Perform other duties as assigned.

Data Scientist I Experience, Education, Skills, Abilities requested:

  • Bachelorโ€™s degree in data science, statistics, computer science, health science, public health, epidemiology, or a related field; masterโ€™s degree preferred.
  • Experience conducting statistical or advanced data analysis using multiple data sources, including public health surveillance, research, or administrative data.
  • Experience with data processing, exploratory analysis, anomaly detection, structured and unstructured data, and interpretation of findings.
  • Experience with predictive or prescriptive modeling, machine learning, artificial intelligence (AI), data visualization, or related advanced analytics.
  • Knowledge of health science, data science, programming, and analytical methodologies as applied to public health.
  • Ability to assess data quality, select appropriate analytical methods, and communicate results and their public health relevance.
  • Experience collaborating with multidisciplinary scientific, technical, and public health professionals.
  • Strong written and verbal communication skills, including the ability to explain complex analytical concepts and findings to diverse audiences.
  • Ability to develop innovative solutions and manage complex data science projects.
  • Must pass pre-employment qualifications of Cherokee Federal.

Data Scientist I Preferred Qualifications requested:

  • Experience applying advanced analytics, machine learning, artificial intelligence, predictive modeling, or computational methods to public health data.
  • Experience working with large, complex, structured, and unstructured datasets or public health surveillance systems.
  • Experience developing automated analytical processes or data visualizations.

Company Information:

Cherokee Nation Integrated Health (CNIH) is a part of Cherokee Federal โ€“ the division of tribally owned federal contracting companies owned by Cherokee Nation Businesses. As a trusted partner for more than 60 federal clients, Cherokee Federal LLCs are focused on building a brighter future, solving complex challenges, and serving the governmentโ€™s mission with compassion and heart. To learn more about CNIH, visit cherokee-federal.com.

#CherokeeFederal #LI-CK1

Cherokee Federal is a military friendly employer. Veterans and active military transitioning to civilian status are encouraged to apply.

Similar Searchable Job Titles:

  • Public Health Data Analyst
  • Program Evaluation Analyst
  • Epidemiology Analyst I
  • Health Data Analyst
  • Monitoring & Evaluation Analyst

Keywords:

  • Data Science
  • Statistical Analysis
  • Advanced Analytics
  • Public Health Data
  • Public Health Surveillance
  • Machine Learning
  • Artificial Intelligence (AI)
  • Predictive & Prescriptive Modeling
  • Data Visualization
  • Data Quality
  • System Automation
  • Data Quality
  • System Automation

Legal Disclaimer:All qualified applicants will receive consideration for employment without regard to protected veteran status, disability or any other status protected under applicable federal, state or local law.

Many of our job openings require access to government buildings or military installations.

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Cherokee Federal logo

About Cherokee Federal

Sourced by ZipRecruiter

Cherokee Federal - a division of Cherokee Nation Businesses - is a team of tribally owned federal contracting companies focused on building solutions, solving complex challenges, and serving the nation's mission around the globe for more than 60 federal clients. Our team of companies manages nearly 1,000 projects of all sizes across the construction, consulting, engineering and manufacturing, health, and technology portfolios. Since 2012, the Cherokee Federal team of companies has won more than $5 billion in government contracts. Our 3,000+ employees work in 26 countries, 50 states and 2 U.S. territories. Why choose Cherokee Federal? Visit our website and learn about the great reasons to join our team. cherokee-federal.com

Industry

Architectural services

Company size

1,001 - 5,000 Employees

Headquarters location

Tulsa, OK, US

Year founded

1969

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