Top 15 Principal data scientist Jobs in Atlanta, Ga

Principal Data Scientist, Online
Home Depot / THD —Atlanta, GA
- 18 years or older
- Computer Science
- No experience needed
Principal Data Scientist, SIP
Invesco —Atlanta, GA
- Full-time
- Hybrid work
- 7 years
- Office
- Senior level
- Employee stock purchase plan
- Health insurance
Principal Data Scientist - CX
Home Depot / THD —Atlanta, GA
- 18 years or older
- Computer Science
- No experience needed
6d
Sr. Principal Data Scientist
Warner Bros. Discovery —Atlanta, GA
- Full-time
- Computer Science
- 11+ years
- Research
ML/ML Ops Principal Engineer
HD Supply —Atlanta, GA
- Full-time
- 7 years
- Azure
- Bachelor of Science
Senior / Principal Data Scientist, GenAI
AIG PC Global Services, Inc. —Atlanta, GA
- Email
- Computer Science
- Office
- 3 years
- Health insurance
Quick Apply
Principal Data Scientist- Eng
UKG (Ultimate Kronos Group) —Atlanta, GA
- $163,900 - $235,550 a year
- Hybrid work
- Master's degree
- 8 years
- Doctor of Philosophy
Senior/Principal AI Engineer
Workday —Atlanta, GA
- $190,600 - $342,000 a year
- Full-time
- Management
- Computer Science
- Engineering
- Flexible schedule
Principal AI Engineer
Manhattan Associates —Atlanta, GA
- Full-time
- Computer science
- Azure
- Computer Science
Principal AI/ML Engineer - AdTech
Zeta Global —Atlanta, GA
- $300,000 - $400,000 a year
- Remote
- System design
- Java
- AWS
- Health insurance
- Dental insurance
Quick Apply

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Principal Data Scientist, Online

Home Depot / THD -
Atlanta, GA

Apply Now

Job Details

Qualifications

Optimizing workflow processes
Statistics
Doctoral degree in statistics
Data visualization software proficiency
Data mining
Statistics
Computer Science
Predictive modeling analysis
Project management experience in technology
Conference papers
Computer vision
Technical documentation
Identifying new business opportunities
Coaching
Mathematics
No experience needed
Managing data teams
Doctoral degree in Computer Science
Team development
Hiring
Programming languages
Business development
Professional development support
Bachelor's degree
Ph.D. in statistics
Continuous improvement
Doctor of Philosophy
Mentoring
Natural language processing
Conducting conference presentations

Full Job Description

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:

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

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Refine Your Search

principal data scientist jobs in atlanta, ga

Principal Data Scientist, Online

Principal Data Scientist, SIP

Principal Data Scientist - CX

Sr. Principal Data Scientist

ML/ML Ops Principal Engineer

Senior / Principal Data Scientist, GenAI

Principal Data Scientist- Eng

Senior/Principal AI Engineer

Principal AI Engineer

Principal AI/ML Engineer - AdTech

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