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Senior Director Data Science Jobs in Georgia (NOW HIRING)

Scientific Games

Senior Data Program Manager

Alpharetta, GA · On-site

$113K - $113K/yr

Senior Director, Data Products & Analytics * Data Products leadership * Platform Engineering leads * Data Science/ML leads External: * Atlassian/Jira tooling vendors (as needed) * External ...

Honeywell

Sr. Director Data & AI Platform Architect

Atlanta, GA · On-site

$64.75 - $86.50/hr

As Senior Director Data & Artificial Intelligence (AI) Platform Architect at Honeywell Technologies ... MS or PhD in Computer Science, Machine Learning, Data Engineering, or related field, or equivalent ...

Honeywell

Sr. Director Data & AI Platform Architect

Atlanta, GA · On-site

$64.75 - $86.50/hr

As Senior Director Data & Artificial Intelligence (AI) Platform Architect at Honeywell Technologies ... MS or PhD in Computer Science, Machine Learning, Data Engineering, orrelatedfield, or equivalent ...

Honeywell

Sr. Director Data & AI Platform Architect

Atlanta, GA · On-site

$64.75 - $86.50/hr

As Senior Director Data & Artificial Intelligence (AI) Platform Architect at Honeywell Technologies ... MS or PhD in Computer Science, Machine Learning, Data Engineering, orrelatedfield, or equivalent ...

STEMtech

Sr. Data Scientist

Atlanta, GA · On-site

Company Description STEMtech has a client in the Atlanta area looking for an Sr. Data Scientist who ... Manage and direct data science team to accomplish technical goals and develop data insights

Trimont LLC

Senior Director, Data Engineer

Atlanta, GA · On-site

$170 - $210/hr

As a Senior Director, Data Engineer, you will be responsible for designing, building, and ... Bachelor\'s degree in Computer Science, Engineering, Information Systems, or related field. * 9+ ...

Trimont LLC

Senior Director, Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

As a Senior Director, Data Engineer, you will be responsible for designing, building, and ... Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. * 9+ ...

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Senior Director Data Science information

What does a senior director of data science do?

A Senior Director of Data Science leads and oversees the data science strategy for an organization, managing teams of data scientists, analysts, and engineers. They are responsible for aligning data initiatives with business goals, guiding advanced analytics projects, and ensuring the effective use of data to drive decision-making. This role often involves collaborating with other executives to develop data-driven solutions, establishing best practices, and setting the vision for how data science supports organizational growth.

How does a senior director of data science typically collaborate with other departments within an organization?

A Senior Director of Data Science frequently partners with leaders from product, engineering, marketing, and business strategy to align data-driven insights with organizational goals. They facilitate cross-functional collaboration by translating complex analytics into actionable business recommendations, ensuring that data science initiatives support top-level priorities. This role often leads a team of data scientists while serving as a bridge between technical teams and non-technical stakeholders, fostering a culture of data-informed decision-making throughout the company.

What are the key skills and qualifications needed to thrive as a senior director data science, and why are they important?

To thrive as a Senior Director Data Science, you need deep expertise in advanced analytics, machine learning, statistical modeling, and a strong educational background in a quantitative field, often with a master's or PhD. Familiarity with data platforms (like AWS, Azure), programming languages (such as Python, R), and leadership in deploying enterprise-level data solutions is vital, along with experience managing large teams. Exceptional strategic thinking, communication, and stakeholder management skills set top candidates apart in this role. These abilities are crucial for driving data-driven business strategies, leading high-performing teams, and ensuring impactful outcomes at the organizational level.

What is the difference between Senior Director Data Science vs Data Science Manager?

AspectSenior Director Data ScienceData Science Manager
ResponsibilitiesOversees multiple teams, sets strategic vision, aligns data science initiatives with business goalsManages day-to-day operations of data science teams, executes projects, and ensures deliverables
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsRelevant degree, experience in managing data projects, technical expertise
Work EnvironmentStrategic, cross-departmental, executive collaborationOperational, team-focused, project management

The Senior Director Data Science typically holds a higher strategic leadership role, overseeing multiple teams and aligning data initiatives with company goals. In contrast, a Data Science Manager focuses on managing teams and executing projects. Both roles require strong technical backgrounds, but the Senior Director emphasizes strategic vision and leadership across departments.

What are the most commonly searched types of Senior Data Science jobs in Georgia?

The most popular types of Senior Data Science jobs in Georgia are:

What are popular job titles related to Senior Director Data Science jobs in Georgia?

For Senior Director Data Science jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Senior Director Data Science jobs in Georgia look for?

The top searched job categories for Senior Director Data Science jobs in Georgia are:

What cities in Georgia are hiring for Senior Director Data Science jobs?

Cities in Georgia with the most Senior Director Data Science job openings:

Senior Director Data Science jobs near you
Infographic showing various Senior Director Data Science job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Director, Data Science - Marketing

Atlanta, GA • On-site

Home Depot
Retail • 10K+ employees

7.4

Company rating: 7.4 out of 10

Based on 6,473 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

People enjoy working here

Good employer

Recommended by students

Learn more about Home Depotexternal

Full-time

Posted 3 days ago

New

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Sr. Director, Data Science is a strategic leader responsible for defining and executing the data science vision that powers The Home Depot's Core Marketing and Retail Media organizations. This role partners closely with Marketing, Retail Media+, Customer Analytics, Product, Technology, Finance, and Business stakeholders to drive measurable growth in customer acquisition, engagement, personalization, media effectiveness, and revenue generation through advanced analytics, machine learning, and AI-driven solutions.
The Sr. Director will lead a high-performing team of data scientists responsible for developing predictive models, customer segmentation strategies, marketing measurement frameworks, attribution methodologies, experimentation programs, and media optimization solutions. This leader will translate complex business challenges into scalable analytical strategies that improve marketing performance, customer experience, and return on advertising spend.
As a Sr. Director, this role establishes the long-term data science roadmap for Marketing and Retail Media, influences executive decision-making through data-driven insights, and collaborates across the organization to ensure alignment with enterprise goals. The Sr. Director is accountable for delivering significant business impact through analytics innovation, talent development, operational excellence, and disciplined investment prioritization. This role also oversees governance, measurement standards, and value realization frameworks to ensure data science initiatives deliver measurable business outcomes and return on investment.
Key Responsibilities:
  • 40% - Data Science Advocacy - Collaborate with business leaders and executive level leaders to align on objectives and expectations; Serve as escalation point for any issues or difficulties with specific projects or initiatives; Champion data science capabilities and new skills to continually identify ways to impact the business; Define effective metrics to understand the high-level performance against business goals
  • 20% - People Management & Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Establish a clear vision for the team and influence reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrates accomplishments
  • 40% - Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Ensure a successful operating model and cost structure for Data Science is developed and leveraged across the enterprise to standardize ROI calculations and project/team funding; Effectively develop trust and collaboration with internal customers and cross-functional teams; Support data science research and innovation efforts that can serve as competitive advantage for the enterprise; Develop an integrated data science vision and end-to-end strategy; Drive adoption of leading-edge data science techniques and methods, both predictive and prescriptive

Direct Manager/Direct Reports:
  • This Position typically reports to the Vice President or above
  • This Position has 5 Direct Reports

Travel Requirements:
  • Typically requires overnight travel 5% to 20% of the time.

Physical Requirements:
  • Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.

Working Conditions:
  • Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.

Minimum Qualifications:
  • Must be at least 18 years old
  • Must be legally permitted to work in the United States

Preferred Qualifications:
  • Master's degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Economics, Operations Research, or a related quantitative field.
  • 12+ years of experience leading advanced analytics, data science, machine learning, or AI teams within large-scale consumer, retail, eCommerce, digital marketing, or media organizations.
  • 7+ years of people leadership experience, including building, developing, and leading high-performing teams of data scientists, analytics managers, and technical leaders.
  • Deep expertise in marketing analytics, customer behavior modeling, personalization, customer lifetime value (CLV), segmentation, forecasting, and predictive modeling.
  • Extensive experience supporting Retail Media Networks (RMNs), digital advertising, ad-tech, mar-tech, media measurement, attribution, incrementality testing, and advertising optimization.
  • Demonstrated success leveraging machine learning, AI, and advanced analytics to drive measurable business outcomes, customer growth, media effectiveness, and revenue.
  • Expertise in experimentation methodologies, including A/B testing, causal inference, marketing mix modeling (MMM), multi-touch attribution (MTA), and incrementality measurement.
  • Strong knowledge of cloud-based analytics ecosystems, including Snowflake, Databricks, Azure, Google Cloud Platform, AWS, and modern data science toolsets.
  • Advanced proficiency with Python, R, SQL, and machine learning frameworks.
  • Experience leading large-scale analytics transformations and influencing executive stakeholders across Marketing, Product, Technology, Finance, and Operations.
  • Proven ability to translate complex analytical concepts into clear, actionable business strategies for executive audiences.
  • Strong business acumen with the ability to align data science investments to commercial outcomes, customer value, and enterprise growth objectives.
  • Successful track record establishing measurement frameworks, governance standards, operating models, and talent strategies within highly matrixed organizations.
  • Exceptional executive communication, storytelling, stakeholder management, and change leadership skills.
  • Demonstrated ability to build strategic partnerships and influence decisions at the VP and Executive Leadership Team level.

Minimum Education:
  • The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:
  • The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.

Minimum Years of Work Experience:
  • 10

Preferred Years of Work Experience:
  • 10

Minimum Leadership Experience:
  • No previous leadership experience

Preferred Leadership Experience:
  • 5

Certifications:
  • None

Competencies:
  • Action Oriented
  • Business Insights
  • Directs Work
  • Persuades
  • Attracts Top Talent
  • Builds Effective Teams
  • Ensures Accountability
  • Instills Trust
  • Plans and Aligns
  • Communicates Effectively
  • Develops Talent
  • Interpersonal Savvy
  • Organizational Savvy
  • Strategic Mindset
Home Depot logo

About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail, manufacturing and personal services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

Social media

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Pay

Benefits

Hours and flexibility

Workplace

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