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Data Science Phd Jobs in Georgia (NOW HIRING)

Home Depot

Senior Data Scientist - MET

Atlanta, GA · On-site

Masters or PhD in a quantitative field (Computer Science, Math, Statistics, etc.) * Model Productionization : 4+ years of experience in deploying Data Science models from a development environment to ...

Intuitive

Senior Data Scientist

Peachtree Corners, GA · On-site

... PhD with 3 years of experience; or equivalent professional experience. Preferred Skills and Experience • Quantitative Advanced degree (Statistics, Computer Science, Math, Data Science or Similar ...

New

Home Depot

Senior Data Scientist, Online

Atlanta, GA · On-site

The Sr. Data Scientist is responsible for leading data science initiatives that drive business ... PhD in a quantitative field (Computer Science, Math, Statistics, etc.) * 6+ years of experience in ...

Home Depot

Lead Data Scientist

Atlanta, GA · On-site

The Lead Data Scientist is responsible for leading data science initiatives that drive business ... PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work ...

Honeywell

Advanced Data Scientist

Atlanta, GA · On-site

Industrial IoT Solutions, Data Analytics, Cybersecurity, Smart Building Solutions, Supply Chain ... PhD degree in Computer Science, Engineering, Applied Mathematics or related STEM field * Experience ...

PRGX Global, Inc

Data Scientist

Atlanta, GA · On-site

Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. · PhD preferred. · Minimum of 1 year of ...

PRGX Global, Inc

Data Scientist

Atlanta, GA · On-site

Knowledge & Qualifications • Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. • PhD preferred. • Minimum of 1 year of ...

Truist

Data Scientist II - Card Fraud

Atlanta, GA · On-site

Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering * Four years of relevant work experience if candidate lacks ...

PRGX Global, Inc.

Data Scientist

Atlanta, GA · On-site

Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. · PhD preferred. · Minimum of 1 year of ...

Truist

Data Scientist II - Card Fraud

Atlanta, GA

Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering * Four years of relevant work experience if candidate lacks ...

Honeywell

Advanced Data Scientist

Atlanta, GA

Industrial IoT Solutions, Data Analytics, Cybersecurity, Smart Building Solutions, Supply Chain ... PhD degree in Computer Science, Engineering, Applied Mathematics or related STEM field * Experience ...

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Data Science Phd information

What can you do with a doctorate in data science?

A doctorate in data science prepares individuals for advanced roles such as data scientist, research scientist, or machine learning engineer, often involving complex data analysis, modeling, and algorithm development. It enables expertise in programming languages like Python or R, statistical methods, and data management tools, opening opportunities in academia, industry, and research institutions.

What are the key skills and qualifications needed to thrive as a Data Science PhD, and why are they important?

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

Is PhD worth it for data science?

A PhD in data science can enhance expertise in advanced analytics, research, and specialized skills, which may lead to higher-level roles and increased salary potential. However, it also requires significant time and financial investment, and many data science positions value practical experience and skills in programming, machine learning, and data manipulation over formal degrees.

What is the salary of a PhD in data scientist?

A Data Science PhD typically earns between $100,000 and $150,000 annually, depending on experience, industry, and location. Advanced degrees and expertise in machine learning, statistical analysis, and programming tools like Python or R can lead to higher compensation, especially in tech and research sectors.

What are some common challenges faced by Data Science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

Is 40 too late for data science?

Data science PhDs can pursue careers at any age, including at 40 or older. Success depends on skills, experience, and continuous learning in areas like programming, statistics, and machine learning, rather than age alone.

What is a Data Science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.
What are popular job titles related to Data Science Phd jobs in Georgia? For Data Science Phd jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Science Phd jobs in Georgia look for? The top searched job categories for Data Science Phd jobs in Georgia are:
What cities in Georgia are hiring for Data Science Phd jobs? Cities in Georgia with the most Data Science Phd job openings:
Data Science Phd jobs near you
Principal Data Scientist, Online

Principal Data Scientist, Online

Home Depot

Atlanta, GA • On-site

Full-time

Re-posted 11 days ago

Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,355 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 Principal Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making by leveraging mastery of both the business and Advanced Analytics Modeling techniques. Principal Data Scientists focus on seeking out business opportunities to leverage data science as a competitive advantage.
As a Principal Data Scientist, you will lead large data science projects, identifying opportunities to leverage the best technology and approach, and mentoring data scientists on the project team. This role is expected to contribute to Home Depot's intellectual property by developing cutting-edge, innovative algorithms. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, this role requires networking with experts, both academic and industry, to further the application of data science to business problems.
Key Responsibilities:
  • 25% Solution Development - Utilize advanced expertise when designing and developing algorithms and models to use against large datasets to create business insights; Make appropriate selection, utilization and interpretation of advanced analytics methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation; Test alternative methodology and cutting-edge algorithms on business problems to deliver even better solutions and recommendations
  • 20% Project Management & Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team; Serve as a technical subject matter expert (SME) for one or more data science methods, both predictive and prescriptive
  • 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage
  • 35% 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; Define best practices and develop clear vision for data analysis and model productionalization; Support development of cutting-edge, innovative algorithms that would serve as Intellectual Property for Home Depot; Demonstrate and share technical expertise by attending conferences, speaking events and publishing papers; Be a thought leader within Home Depot in one or more Prescriptive Modeling techniques like optimization, computer vision, recommendation, search or NLP; Network with both academic and industry experts to further the application of data science to business problems

Direct Manager/Direct Reports:
  • This position typically reports to Senior Manager or above
  • This position has 0 Direct Reports and leads/manages projects

Travel Requirements:
  • Typically requires overnight travel less than 10% 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.

Preferred Qualifications:
  • PhD in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience.
  • 10+ years of experience in business intelligence and analytics
  • Expertise in a modern scripting language (preferably Python)
  • Expertise running queries against data (preferably with Google BigQuery or SQL)
  • Advanced knowledge of Microsoft Office Suite
  • Expertise with data visualization software (preferably Tableau)
  • Expertise in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
  • Demonstrated mastery in predictive modeling, data mining and data analysis
  • Demonstrated mastery utilizing statistical techniques to identify key insights that help solve business problems

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:
  • 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
  • Cultivates Innovation: Creating new and better ways for the organization to be successful
  • Develops Talent: Developing people to meet both their career goals and the organization's goals
  • 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
  • Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  • Persuades: Using compelling arguments to gain the support and commitment of others
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
  • Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
  • Tech Savvy: Anticipating and adopting innovations in business building digital and technology applications

What Home Depot employees say

Pay

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Hours and flexibility

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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

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