We are looking for a Senior Data Scientist to support innovation and next-gen Delivery experience ... Mastery utilizing statistical techniques to identify key insights that help solve business problems
We are looking for a Senior Data Scientist to support innovation and next-gen Delivery experience ... Mastery utilizing statistical techniques to identify key insights that help solve business problems
Statistical process control and DOE methodology for multi-variable, multi-step process optimization ... Experience with any next-gen architecture enablement: glass core/glass interposer integration ...
Statistical process control and DOE methodology for multi-variable, multi-step process optimization ... Experience with any next-gen architecture enablement: glass core/glass interposer integration ...
Statistical process control and DOE methodology for multi-variable, multi-step process optimization ... Experience with any next-gen architecture enablement: glass core/glass interposer integration ...
Statistical process control and DOE methodology for multi-variable, multi-step process optimization ... Experience with any next-gen architecture enablement: glass core/glass interposer integration ...
Statistical process control and DOE methodology for multi-variable, multi-step process optimization ... Experience with any next-gen architecture enablement: glass core/glass interposer integration ...
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Statistical process control and DOE methodology for multi-variable, multi-step process optimization ... Experience with any next-gen architecture enablement: glass core/glass interposer integration ...
Next Gen Stats information
What is a Next Gen Stats?
A Next Gen Stats job involves analyzing advanced player and game data collected through tracking technology, such as RFID chips in player equipment. Professionals in this field interpret data to provide insights on player performance, team strategy, and game trends. These roles often require expertise in data analytics, sports science, or software engineering to process and visualize complex statistics. Teams, broadcasters, and analysts use this data to enhance decision-making and fan engagement.
What are the key skills and qualifications needed to thrive in the Next Gen Stats position?
To thrive in a Next Gen Stats role, you need a strong background in data analysis, statistical modeling, programming (often Python or R), and a relevant degree such as statistics, computer science, or data science. Familiarity with sports data platforms, data visualization tools (such as Tableau or Power BI), and advanced analytics software is typically required. Excellent communication, attention to detail, and a collaborative mindset help you translate complex insights for varied audiences and work effectively within multidisciplinary teams. These skills are crucial to ensuring accurate, actionable insights that drive decision-making in the fast-paced world of sports analytics.
What are some common challenges faced in a Next Gen Stats position and how can I prepare for them?
Professionals in Next Gen Stats roles often work with large, complex datasets that require meticulous attention to accuracy and consistency, which can be challenging given the fast turnaround times in the sports industry. You may also need to distill technical analyses into clear insights for coaching staff, athletes, or media—making strong communication skills essential. Adapting to rapidly evolving analytical tools and new metrics is another common challenge, so a willingness to learn and stay current with industry trends is important. Proactively developing your technical and soft skills, as well as building a network with other analytics professionals, will help you excel and advance in this dynamic field.
What are popular job titles related to Next Gen Stats jobs in Georgia?
For Next Gen Stats jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Next Gen Stats jobs in Georgia look for?
The top searched job categories for Next Gen Stats jobs in Georgia are:
What cities in Georgia are hiring for Next Gen Stats jobs?
Cities in Georgia with the most Next Gen Stats job openings:
Senior Data Scientist, Delivery
Atlanta, GA • On-site
Home Depot
• Retail • 10K+ employees10,000+ employees
Full-time
Re-posted 9 days ago
Home Depot rating
7.4
Based on 6,514 frontline employees who took The Breakroom Quiz
Job description
With a career at The Home Depot, you can be yourself and also be part of something bigger.
Position Purpose:
We are looking for a Senior Data Scientist to support innovation and next-gen Delivery experience solutions for Home Depot. If you are tech-savvy, deeply passionate about Data-driven solutions, AI/ML tools and platforms as well as curious about understanding the complex processes behind important business decisions - please apply. The more specific technical requirements are mentioned below:
🔹 ML Depth - Solid hands-on experience with tree-based ranking and classification models (XGBoost, etc.) is table stakes, but practitioner-level depth with NLP, BERT-family embedding models, similarity search, DNNs or building multi-modal models will have an edge and be needed in the work. Expertise with these advanced models not needed, will get chance and time to learn on the job - but a headstart will help.
🔹 Deployment Mindset - You have taken models beyond notebooks - pipelines, non-prod deployments, and experience on Vertex AI pipelines and custom jobs.
🔹 Experimentation familiarity - You are not new to designing and reading an A/B test or other methods for measurement.
🔹 Familiarity with LLM/Agentic workflows - Recent hands-on experience with LLM pipelines, RAG, or working with LLMs programmatically in the last 12 months. Experience with Agentic workflows will stand-out during the interview process.
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:
We are looking for a Senior Data Scientist to support innovation and next-gen Delivery experience solutions for Home Depot. If you are tech-savvy, deeply passionate about Data-driven solutions, AI/ML tools and platforms as well as curious about understanding the complex processes behind important business decisions - please apply. The more specific technical requirements are mentioned below:
🔹 ML Depth - Solid hands-on experience with tree-based ranking and classification models (XGBoost, etc.) is table stakes, but practitioner-level depth with NLP, BERT-family embedding models, similarity search, DNNs or building multi-modal models will have an edge and be needed in the work. Expertise with these advanced models not needed, will get chance and time to learn on the job - but a headstart will help.
🔹 Deployment Mindset - You have taken models beyond notebooks - pipelines, non-prod deployments, and experience on Vertex AI pipelines and custom jobs.
🔹 Experimentation familiarity - You are not new to designing and reading an A/B test or other methods for measurement.
🔹 Familiarity with LLM/Agentic workflows - Recent hands-on experience with LLM pipelines, RAG, or working with LLMs programmatically in the last 12 months. Experience with Agentic workflows will stand-out during the interview process.
Key Responsibilities:
- 35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
- 30% 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
- 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
- 15% 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; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented
Direct Manager/Direct Reports:
- This position reports to manager or above
- This position has 0 Direct Reports
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.)
- 6+ years of experience in business intelligence and analytics
- Working knowledge of Microsoft Excel and Power Point
- Proficient in a modern scripting language (preferably Python)
- Proficient 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
- Demonstrated proficiency in predictive modeling, data mining and data analysis
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:
- 5
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
- Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
- Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
- 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
- Customer Focus: Building strong customer relationships and delivering customer-centric solutions
- 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 Results: Consistently achieving results, even under tough circumstances
- Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
- Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
- Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels
What Home Depot employees say
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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, manufacturing and personal services
Company size
10,000+ Employees
Headquarters location
Atlanta, GA, US