The Data Science Sr. Manager is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business ...
The Data Science Sr. Manager is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business ...
Data Scientist
Duluth, GA · On-site
Responsibilities • Collaborate with team members to develop and deploy machine learning models and data science solutions. • Work with Product Management to understand requirements and translate ...
Data Scientist
Duluth, GA · On-site
Responsibilities • Collaborate with team members to develop and deploy machine learning models and data science solutions. • Work with Product Management to understand requirements and translate ...
Data Scientist
Duluth, GA · On-site
Responsibilities • Collaborate with team members to develop and deploy machine learning models and data science solutions. • Work with Product Management to understand requirements and translate ...
Data Scientist
Duluth, GA · On-site
Responsibilities • Collaborate with team members to develop and deploy machine learning models and data science solutions. • Work with Product Management to understand requirements and translate ...
Senior Data Science Analyst
Atlanta, GA · On-site
$82K - $104K/yr
Job Overview: We're seeking a Senior Data Analyst to join our Data Science team, where you'll play a critical role in demonstrating the business value of our talent assessment solutions to Fortune ...
Senior Data Science Analyst
Atlanta, GA · On-site
$82K - $104K/yr
Job Overview: We're seeking a Senior Data Analyst to join our Data Science team, where you'll play a critical role in demonstrating the business value of our talent assessment solutions to Fortune ...
Data Scientist
Atlanta, GA · On-site
Research and propose cutting-edge data science techniques and methodologies to improve existing processes and introduce new data-driven initiatives. * Advanced Analytics & Insights: Provide deep ...
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Data Scientist
Atlanta, GA · On-site
Research and propose cutting-edge data science techniques and methodologies to improve existing processes and introduce new data-driven initiatives. * Advanced Analytics & Insights: Provide deep ...
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...
Stay updated on the latest data science tools, techniques, and trends through ongoing professional development. Qualifications: Bachelors degree in a quantitative field (e.g., Computer Science ...
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Stay updated on the latest data science tools, techniques, and trends through ongoing professional development. Qualifications: Bachelors degree in a quantitative field (e.g., Computer Science ...
Data Scientist
Suwanee, GA · On-site
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...
Data Scientist
Suwanee, GA · On-site
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...
Data Science Engineer (Python & Databricks) - Q125
Alpharetta, GA · On-site
$111K - $134K/yr
Data Science Engineer (Python & Databricks) Location: Alpharetta, GA (willing to travel to client locations) Employment Type: Full-Time (W2) Role Overview We are seeking a talented Data Science ...
Data Science Engineer (Python & Databricks) - Q125
Alpharetta, GA · On-site
$111K - $134K/yr
Data Science Engineer (Python & Databricks) Location: Alpharetta, GA (willing to travel to client locations) Employment Type: Full-Time (W2) Role Overview We are seeking a talented Data Science ...
His/her responsibility will be to define data science standards, uncover areas in which data science can drive business value, and provide guidance to the team of data scientists on how to best apply ...
His/her responsibility will be to define data science standards, uncover areas in which data science can drive business value, and provide guidance to the team of data scientists on how to best apply ...
Sr. Data Scientist
Atlanta, GA · On-site
His/her responsibility will be to define data science standards, uncover areas in which data science can drive business value, and provide guidance to the team of data scientists on how to best apply ...
Sr. Data Scientist
Atlanta, GA · On-site
His/her responsibility will be to define data science standards, uncover areas in which data science can drive business value, and provide guidance to the team of data scientists on how to best apply ...
Advanced proficiency with Python and data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow/Torch) * Strong SQL skills and experience working with messy, incomplete, high-volume ...
Quick apply
Advanced proficiency with Python and data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow/Torch) * Strong SQL skills and experience working with messy, incomplete, high-volume ...
Data Scientist
Suwanee, GA · On-site
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...
Data Scientist
Suwanee, GA · On-site
This position requires a hands-on technical leader who can translate real-world operational and financial problems into robust, production-ready data science solutions, while partnering closely with ...
Data Scientist
Atlanta, GA · On-site
We are looking for candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera ...
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Data Scientist
Atlanta, GA · On-site
We are looking for candidates with strong Python-based data science and machine learning experience, combined with hands-on exposure to modern AI/LLM frameworks and agentic AI development on Cloudera ...
The Data Science Manager - Space Intelligence plays a critical role in the technical design and delivery of AI-enabled planogram automation capabilities. This role partners closely with Strategy and ...
The Data Science Manager - Space Intelligence plays a critical role in the technical design and delivery of AI-enabled planogram automation capabilities. This role partners closely with Strategy and ...
Data Science information
See Atlanta, GA salary details
$36.1K - $50K
2% of jobs
$50K - $63.9K
3% of jobs
$63.9K - $77.8K
6% of jobs
$77.8K - $91.7K
9% of jobs
$96.1K is the 25th percentile. Wages below this are outliers.
$91.7K - $105.6K
15% of jobs
The median wage is $114.8K / yr.
$105.6K - $119.5K
22% of jobs
$127.1K is the 75th percentile. Wages above this are outliers.
$119.5K - $133.4K
32% of jobs
$133.4K - $147.3K
3% of jobs
$147.3K - $161.2K
4% of jobs
$161.2K - $175.1K
1% of jobs
$175.1K - $189K
2% of jobs
$36.1K
$118K
$189K
How much do data science jobs pay per year?
As of Aug 7, 2026, the average yearly pay for data science in Atlanta, GA is $118,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,800.00 per year, depending on experience, location, and employer.
Is a data scientist in high demand?
Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.
What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?
To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.
What are some common challenges faced by data scientists when working with real-world datasets?
Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.
What is data science?
Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.
What is the difference between Data Science vs Data Analyst?
| Aspect | Data Science | Data Analyst |
|---|---|---|
| Required skills | Statistics, programming (Python, R), machine learning | Data visualization, SQL, basic statistics |
| Work environment | Developing models, predictive analytics, research | Reporting, data cleaning, descriptive analysis |
| Tools used | Python, R, Jupyter, TensorFlow | Excel, SQL, Tableau, Power BI |
| Industry usage | Tech, finance, healthcare, e-commerce | Retail, marketing, finance, healthcare |
Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.
What does a data scientist do?
As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Atlanta, GA? The most popular types of Data Science jobs in Atlanta, GA are:
What are popular job titles related to Data Science jobs in Atlanta, GA? For Data Science jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Atlanta, GA look for? The top searched job categories for Data Science jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Data Science jobs? Cities near Atlanta, GA with the most Data Science job openings:
Home Depot rating
7.4
Based on 6,413 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
The Data Science Sr. Manager is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
Key Responsibilities:
Direct Manager/Direct Reports:
Travel Requirements:
Physical Requirements:
Working Conditions:
Minimum Qualifications:
Preferred Qualifications:
Minimum Education:
Preferred Education:
Minimum Years of Work Experience:
Preferred Years of Work Experience:
Minimum Leadership Experience:
Preferred Leadership Experience:
Certifications:
Competencies:
Position Purpose:
The Data Science Sr. Manager is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
Key Responsibilities:
- 50% People Management & Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing 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 celebrate accomplishments
- 15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs
- 25% 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; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management
- 10% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged
Direct Manager/Direct Reports:
- This position reports to Director or above
- This position has Direct Reports and manages programs
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 eighteen years of age or older.
- Must be legally permitted to work in the United States.
- Demonstrated proficiency in predictive modeling, data mining and data analysis
- Proficient managing and growing team members in a professional setting
- Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting
- Demonstrated experience with translating high level strategy to tactical execution
Preferred Qualifications:
- 11+ years of experience in business intelligence and analytics
- Previous people or project team management experience
- Demonstrated expertise in predictive modeling, data mining and data analysis
- Mastery running queries against data (preferably with Google BigQuery or SQL)
- Proficient with data visualization software (preferably Tableau)
- Mastery utilizing statistical techniques to identify key insights that help solve business problems
- Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
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:
- No additional education
Minimum Years of Work Experience:
- 10
Preferred Years of Work Experience:
- No additional years of experience
Minimum Leadership Experience:
- None
Preferred Leadership Experience:
- None
Certifications:
- None
Competencies:
- Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
- Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
- Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
- Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
- Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
- Develops Talent: Developing people to meet both their career goals and the organization's goals
- Directs Work: Provides direction, delegating and removing obstacles to get work done
- Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
- Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
- Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
- Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
- Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
- Persuades: Using compelling arguments to gain the support and commitment of others
- Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
What Home Depot employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
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 and manufacturing
Company size
10,000+ Employees
Headquarters location
Atlanta, GA, US