Data Science Director Jobs in Atlanta, GA
Data Science Director jobs in Atlanta are concentrated in Midtown, Buckhead, and the Cumberland/Galleria corridor, driven by demand in financial services, healthcare technology, and enterprise software. Employers actively hiring include The Home Depot, Amazon Web Services, and AIG. Find a role that fits below and apply directly.
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Manager, Data Science
Kaizen Analytix LLC, an analytics services company that gives clients unmatched speed to value through analytics solutions and actionable business insights, is seeking qualified candidates for a Manager of Data Science. Responsibilities, capabilities for success, requirements, and the ideal candidate for this position are provided below.
Responsibilities
- Lead client analytics engagements – consisting of custom analytics solutions by managing core delivery teams of Kaizen and non-Kaizen (clients, third parties) resources that possess business, technology, and data science skill sets
- Managing multiple work streams from acquisition and planning through successful delivery
- Solving business problems through excellent decision-making and innovative, strategic ideas
- Implementing solutions in either client or Kaizen environments
Capabilities for Success
Candidate should demonstrate an ability to:
- Understand business context of analytics solutions: Current state, problem, goals/objectives and their business value, obstacles, and impacted client constituents
- Lead teams (core delivery team, client teams, or both) in translating business problems faced by clients into analytics solution requirements; building mathematical algorithms and models that provide an analytical framework for analyzing and solving business problems; and for developing working knowledge of new analytics models and solution techniques
- Provide client-specific thought leadership for defining modeling and measurement techniques and utilizing mathematics, statistical methods, engineering methods, operational mathematical techniques to estimate benefits from using analytical models
- Lead teams of data scientists, analysts, and software engineers in performing analysis (applying multi-variable, complex statistical analysis on large data sets to gain useful insights into the data, detect trends and outliers/invalid data conditions that exist in data sets) and delivering analytics solutions that are of high quality and scaled to client needs in terms of sophistication
- Effectively present analysis, models, results, and insights at the right level of detail to client teams (executive-level to user-level) and Kaizen teams
- Facilitate a critical communications role by interacting with analytics solution users (business domain), core delivery team members (project domain), and development personnel (technical domain)
- Efficiently navigate and lead core delivery team and client (both business and technical domains) through ambiguity of business process, organizational change, and detailed requirements
- Provide internal Kaizen teams with thought leadership for brainstorming, developing, delivering, and testing service-oriented software or subscription offerings for targeted clients / industry verticals
- Support sales and business development activities for both existing and new clients
- Contribute to Kaizen’s knowledge capital by drafting articles and presenting at industry conferences
Job Requirements
- Education and Experience:
- Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 5 years of relevant professional experience OR
- Master’s degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 7 years of relevant professional experience
- Expertise in two or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics
- Effective communication (written and verbal); Excellent presentation skills; Mindset of “own it all the way through solution”
- Minimum 3 years of firsthand experience in two or more of the following: R, SAS, Python, CPLEX/Gurobi, MATLAB
- Functional Skills: Ability to structure and analyze large data sets; Highly proficient in Microsoft Office applications; Good working knowledge of Data Visualization tools (Tableau and Power BI are preferred)
- Project Management: Ability to manage projects using SDLC (Software Development Life Cycle), PMI, and Agile methodologies
- Ability to travel as dictated by business needs
The ideal candidate will meet or exceed all the above and ideally
- Possess industry experience in Automotive, Media & Entertainment, Communications, or Consumer Goods
- Have experience with data mining and business reporting
- Be passionate about analytics and helping companies deliver value through analytics
Manager, Data Science
Kaizen Analytix LLC, an analytics services company that gives clients unmatched speed to value through analytics solutions and actionable business insights, is seeking qualified candidates for a Manager of Data Science. Responsibilities, capabilities for success, requirements, and the ideal candidate for this position are provided below.
Responsibilities
- Lead client analytics engagements – consisting of custom analytics solutions by managing core delivery teams of Kaizen and non-Kaizen (clients, third parties) resources that possess business, technology, and data science skill sets
- Managing multiple work streams from acquisition and planning through successful delivery
- Solving business problems through excellent decision-making and innovative, strategic ideas
- Implementing solutions in either client or Kaizen environments
Capabilities for Success
Candidate should demonstrate an ability to:
- Understand business context of analytics solutions: Current state, problem, goals/objectives and their business value, obstacles, and impacted client constituents
- Lead teams (core delivery team, client teams, or both) in translating business problems faced by clients into analytics solution requirements; building mathematical algorithms and models that provide an analytical framework for analyzing and solving business problems; and for developing working knowledge of new analytics models and solution techniques
- Provide client-specific thought leadership for defining modeling and measurement techniques and utilizing mathematics, statistical methods, engineering methods, operational mathematical techniques to estimate benefits from using analytical models
- Lead teams of data scientists, analysts, and software engineers in performing analysis (applying multi-variable, complex statistical analysis on large data sets to gain useful insights into the data, detect trends and outliers/invalid data conditions that exist in data sets) and delivering analytics solutions that are of high quality and scaled to client needs in terms of sophistication
- Effectively present analysis, models, results, and insights at the right level of detail to client teams (executive-level to user-level) and Kaizen teams
- Facilitate a critical communications role by interacting with analytics solution users (business domain), core delivery team members (project domain), and development personnel (technical domain)
- Efficiently navigate and lead core delivery team and client (both business and technical domains) through ambiguity of business process, organizational change, and detailed requirements
- Provide internal Kaizen teams with thought leadership for brainstorming, developing, delivering, and testing service-oriented software or subscription offerings for targeted clients / industry verticals
- Support sales and business development activities for both existing and new clients
- Contribute to Kaizen’s knowledge capital by drafting articles and presenting at industry conferences
Job Requirements
- Education and Experience:
- Ph.D. in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 5 years of relevant professional experience OR
- Master’s degree in Operations Research, Data Science, Business Analytics, Industrial Engineering, Econometrics, Computer Science, or other applied mathematical discipline, with at least 7 years of relevant professional experience
- Expertise in two or more of the following areas: math programming, probability, statistics, forecasting, machine learning, artificial intelligence, or other heuristics
- Effective communication (written and verbal); Excellent presentation skills; Mindset of “own it all the way through solution”
- Minimum 3 years of firsthand experience in two or more of the following: R, SAS, Python, CPLEX/Gurobi, MATLAB
- Functional Skills: Ability to structure and analyze large data sets; Highly proficient in Microsoft Office applications; Good working knowledge of Data Visualization tools (Tableau and Power BI are preferred)
- Project Management: Ability to manage projects using SDLC (Software Development Life Cycle), PMI, and Agile methodologies
- Ability to travel as dictated by business needs
The ideal candidate will meet or exceed all the above and ideally
- Possess industry experience in Automotive, Media & Entertainment, Communications, or Consumer Goods
- Have experience with data mining and business reporting
- Be passionate about analytics and helping companies deliver value through analytics
See All 17 Data Science Director Jobs in Atlanta
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Find Data Science Director JobsData Science Director Job Market in Atlanta
Who's Hiring
- The Home Depot5
- Amazon Web Services3
- AIG2
- UCB2
- Deloitte2
Top Industries Hiring
- Retail5
- Distribution & Wholesale3
- Consulting & Professional Services3
- Insurance2
- Accounting & Auditing2
Data Science Director Jobs in Atlanta: Frequently Asked Questions
How do I get a data science director job in Atlanta?
Focus your search on Atlanta's financial services corridor in Buckhead, the healthcare technology companies anchored around Midtown and the Emory nexus, and the fintech firms clustered downtown and in the Cumberland area. Candidates who combine hands-on machine learning or advanced analytics experience with demonstrated team leadership stand out. Atlanta employers tend to favor directors who can translate data strategy into measurable business outcomes, so quantifying impact in past roles gives a clear edge.
Which companies hire data science directors in Atlanta?
Atlanta data science director roles are posted by The Home Depot, Amazon Web Services, and AIG and others right now, based on current listings on Migrate Mate as of June 2026. Atlanta's hiring base is broad, drawing from Fortune 500 financial institutions and global logistics companies headquartered here, alongside a fast-growing health tech and payments sector.
Are there remote data science director jobs in Atlanta?
Yes, though director-level data science roles often require meaningful in-person presence for stakeholder alignment and team leadership. About 30% of data science director openings tied to Atlanta are remote or hybrid as of June 2026, reflecting the analytical and strategic nature of the work. Individual contributor modeling work is most likely to remain remote, while cross-functional leadership responsibilities tend to pull directors back on-site at least part of the week.
How can I get a data science director job in Atlanta with little or no experience?
The most realistic path is moving into a senior data scientist or lead analyst role at one of Atlanta's mid-size fintech, healthcare tech, or logistics companies, then building toward a director title from within. Atlanta's startup ecosystem in the Ponce City Market and West Midtown areas sometimes hires player-coaches who own both execution and strategy. Completing a team lead or principal scientist role that includes mentoring others and influencing roadmap decisions positions you credibly for a first director opportunity.
Which industries hire the most data science directors in Atlanta?
Most data science director openings in Atlanta sit in Retail, Distribution & Wholesale, and Consulting & Professional Services, per current listings on Migrate Mate as of June 2026. Atlanta's status as a hub for payments processing, insurance, and large healthcare networks creates sustained demand for directors who can scale data teams and embed analytics across complex enterprise operations.
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