1796 Home Depot jobs in Marietta

Position Purpose:

The Brand Advocate Sr. Analyst is a strategic partner to strategic suppliers, internal merchants, and cross-functional teams, focused on driving brand and category growth through data-driven insights and scalable solutions. This highly visible role is ideal for a curious self-starter with a passion for solving complex problems, communicating insights with executive presence, and delivering results across a matrixed organization. By leveraging a deep understanding of customer behavior and market dynamics, the Sr. Analyst will identify growth opportunities, craft strategic recommendations, and develop compelling presentations for senior and executive stakeholders. In addition to influencing decision-making, the role will lead the design of scalable analysis and processes that improve efficiency and impact across the broader Online Merchandising organization. This customer-focused role is also responsible for maintaining strong stakeholder relationships and coordinating cross-functional execution to ensure strategy translates into measurable business outcomes.

Key Responsibilities:

15% Collaborates Collaborates with suppliers and cross-functional partners to manage content changes, SKU presentation, and brand performance throughout the products lifecycle. In addition, provides on-site support for product set-up, onboarding, and troubleshooting.
20% Creates presentations Creates and leads presentations with stakeholders to share project wins, analysis results, and to gain alignment on future opportunities.
5% Mentor Serves as a mentor across the organization by providing supplemental onboarding and training.
20% Partnerships Partners with stakeholders to build project plans that support strategic growth, drive incremental revenue, and improve the online experience to drive conversion.
10% Process improvement Offers industry expertise and acts as the subject matter expert for the supported assortment/category.
5% System knowledge Builds system knowledge and expertise through ongoing tailored, training classes.
15% Tracks performance Create project plans, gain alignment with merchandising/supplier and drive Tracks content performance, digital asset management, assortment opportunities via regular reporting.
Direct Manager/Direct Reports:

This Position typically reports to Manager, Brand Advocate
This Position has 0 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 eighteen years of age or older.
Must be legally permitted to work in the United States.
Preferred Qualifications:

Experience working with major consumer brands in a fast-paced environment to drive sales, traffic, and conversion through agile, data-informed support
Experience with Vendor Management, Digital Marketing, E-Commerce, and/or Merchandising
Effectively manage multiple workstreams while maintaining consistent delivery and a high standard of quality in a dynamic environment
Proficiency in Excel and PowerPoint with a strong ability to analyze large datasets and translate insights into clear, compelling data stories
Exceptional communication and presentation skills, with executive presence and the ability to influence cross-functional stakeholders
Quick learner with interest in adopting new data tools including platforms such as SQL, Tableau, and Adobe
Deliver business impact through independent learning, strategic analysis, and curiosity-driven problem-solving that influences cross-functional decisions
Minimum Education:

The knowledge, skills and abilities typically acquired through the completion of a bachelors degree program or equivalent degree in a field of study related to the job.
Preferred Education:

No additional education
Minimum Years of Work Experience:

3
Preferred Years of Work Experience:

No additional years of experience
Minimum Leadership Experience:

None
Preferred Leadership Experience:

None
Certifications:

None
Competencies:

Action Oriented
Collaborates
Manages Complexity
Optimizes Work Processes
Communicates Effectively
Customer Focus
Drives Results
Manages Conflict

Position Purpose: The primary purpose of this role is to implement improved business processes and drive supplier strategies that advance Home Depot’s supplier relationship. The Sr. Analyst, Supplier Mgmt., must start with the Supplier relationship and work backwards to ensure that Home Depot is supporting the onboarding, growth and development of its Suppliers. The Sr. Analyst’s job is to ensure that the goals of the organization are delivered and use expertise in relationship management to drive successful growth and efficiencies in supplier relations and therefore end customer experience. This role will assist in the development of a tactical strategy for Home Depot’s supplier management processes, supplier catalog management and new supplier/assortment onboarding. The Sr. Analyst, Supplier Mgmt., will ensure the supplier management program includes stakeholder engagement, organizational alignment, communications and cross-functional collaboration. Key Responsibilities: 30% Partner with Merchandise Planning Managers and Online Merchants to analyze business drivers, provide insightful assessments and execute strategies to achieve business objectives. 40% Track and measure business performance via execution of key daily, weekly and monthly reporting; seek out opportunities to continuously improve reporting efforts. 30% Contribute to projects and new initiatives with further strategic business objectives. Direct Manager/Direct Reports: Position reports to Manager, Supplier Management No 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. No travel required Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: MBA or equivalent work experience in retail, merchandising, or a consulting/project management role in a corporate environment Demonstrated ability with business modeling capabilities using tools such as SQL, Excel, Access, and Tableau and advanced proficiency with other Microsoft Office programs Ability to understand business drivers and influence decision making with cross-functional partners Proven ability to analyze, evaluate, and interpret complex data; innate intellectual curiosity Track record of taking ownership and driving results; ability to learn quickly and independently Ability to work simultaneously across several work streams balancing quality of work and consistent delivery Strong communication and presentation skills High comfort level working in fast paced environment 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: 4 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented Collaborates Drives Engagement Communicates Effectively Customer Focus Drives Results Manages Conflict #J-18808-Ljbffr

• Planning, logistics, and execution for a wide variety of events/programs within The Home Depot Backyard's expanding Programming Matrix.
• Interactions with associates, customers, and vendors through pre and post event planning and strategizing.
• Data gathering through solicitation of customer and vendor feedback.
• Inventory equipment control.
• Brand ambassador for The Home Depot Backyard and participating sponsors.
• Program and event evaluation.
• Professional Customer Service that is necessary with direct customer and client interaction.

• Assist with all daily needs of The Home Depot Backyard Department.
• Self directs seasonal park programming concepts, activities, and post reporting.
• Support Full-Time staff in logistical set-up and breakdown of all equipment and material related to specified program or event.
• Provides responsibility and guidance for assigned activities during the absence of immediate supervisor.
• Serves as assistant and/or instructor for all recreational and leisure activities relating to The Home Depot Backyard.
• Organizes programming supplies, prepares for classes and activities before the start of each session.
• Assists in expanding the areas of promotion for The Home Depot Backyard programs and services.
• Responsible for keeping all inventory up to date for The Home Depot Backyard.
• Drive guest engagement while surveying and gathering data to help evaluate the quality of all programs.
• Work alongside full-time staff on various projects for The Home Depot Backyard and provide support where needed.
• asks require the ability to exert light to very moderate physical effort in sedentary to light work; may involve some combination of stooping, kneeling, crouching and crawling and may involve some lifting, carrying, pushing and/or pulling of objects and materials.
• May involve extended periods of time at a keyboard, workstation, or outside in an open park setting.
• Performs other related duties as required.

• College graduate preferred
• Prior internships or work experience (6 months to 2 years) in Events, Operations, Parks & Recreation, professional client service or related fields required.
• Solution oriented, highly motivated and proactive self-starter who works well as both team member and individual contributor.
• Outstanding organizational skills, ability to follow through, and capable of meeting deadlines while balancing multiple projects and priorities.
• Proficient in Microsoft Office (Word, Excel, PowerPoint).
• Physical requirements include the ability to lift 30+ pounds and ability to be on your feet for 4+ hours.
• Reliable transportation required.
• Ability to work non-traditional work hours, and weekend hours required.

No experience requited, hiring immediately, appy now.Cashiers play a critical customer service role by providing customers with fast, friendly, accurate and safe service. They process Checkout and/or Return transactions, as well as monitor and maintain the Self-Checkout area. They proactively seek product/project knowledge to provide customers with information and identify selling opportunities. They follow all policies and procedures to ensure that shrink is minimized. A Head Cashier will position Cashiers and support them by expediting price checks, approving Point of Sale transactions and markdowns for mainline registers, Self-Checkout, Returns, Pro Desk, Special Services, and Tool Rental. They provide first level escalation for customer issues and assist in the supervision, coaching and training of other Front End Associates by participating in the training of new Cashiers and utilizing all available tools to coach and develop other Cashiers. Full and part time postions available. Flexible Hours. Hiring now with no experience required. Great benefits and promotions from within.

No experience requited, hiring immediately, appy now.Cashiers play a critical customer service role by providing customers with fast, friendly, accurate and safe service. They process Checkout and/or Return transactions, as well as monitor and maintain the Self-Checkout area. They proactively seek product/project knowledge to provide customers with information and identify selling opportunities. They follow all policies and procedures to ensure that shrink is minimized. A Head Cashier will position Cashiers and support them by expediting price checks, approving Point of Sale transactions and markdowns for mainline registers, Self-Checkout, Returns, Pro Desk, Special Services, and Tool Rental. They provide first level escalation for customer issues and assist in the supervision, coaching and training of other Front End Associates by participating in the training of new Cashiers and utilizing all available tools to coach and develop other Cashiers. Full and part time postions available. Flexible Hours. Hiring now with no experience required. Great benefits and promotions from within.

No experience requited, hiring immediately, appy now.Cashiers play a critical customer service role by providing customers with fast, friendly, accurate and safe service. They process Checkout and/or Return transactions, as well as monitor and maintain the Self-Checkout area. They proactively seek product/project knowledge to provide customers with information and identify selling opportunities. They follow all policies and procedures to ensure that shrink is minimized. A Head Cashier will position Cashiers and support them by expediting price checks, approving Point of Sale transactions and markdowns for mainline registers, Self-Checkout, Returns, Pro Desk, Special Services, and Tool Rental. They provide first level escalation for customer issues and assist in the supervision, coaching and training of other Front End Associates by participating in the training of new Cashiers and utilizing all available tools to coach and develop other Cashiers. Full and part time postions available. Flexible Hours. Hiring now with no experience required. Great benefits and promotions from within.

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 the Principal Data Scientist for Contact Center Transformation, you will lead the development and implementation of advanced AI and Machine Learning (ML) solutions, focusing on large language models (LLMs) and generative AI to enhance self-service experiences in our contact centers. In this role, you will explore innovative techniques, such as LLM chaining and agent-based models, while collaborating closely with engineering architects to ensure that data science innovations align with our overall technology vision.

You will be responsible for creating multi-intent, context-aware AI systems that enable seamless, interactive customer conversations. By applying best practices in natural language processing (NLP), dialogue management, and AI-to-human handoffs, you will ensure smooth, real-time transitions, ultimately enhancing the customer experience.

Working alongside engineering architects and cross-functional teams, you will align AI innovations with the company’s broader technology strategy. Additionally, you will optimize large-scale model deployments using techniques like quantization, distillation, and pruning, ensuring that models meet stringent latency and throughput requirements for real-time interactions.

Your expertise in NLP, dialogue management, and AI-to-human handoffs will be crucial in creating a seamless transition between AI-driven and human-assisted services. Beyond technical execution, you will be a thought leader, staying at the forefront of AI research, identifying emerging trends, and translating complex concepts into strategic business opportunities.

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

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 Depots 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 bachelors 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 organizations 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 organizations 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 #J-18808-Ljbffr

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