Senior Data Scientist, Contact Center AI

The Home Depot • Atlanta, GA

2d • Onsite

About The Position

The Senior Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies, improve automation using AI and improved customer experience. This role applies industry-leading Agentic AI capabilities for creatively solve business problems in the Contact Center space. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as NLP, Conversational AI, Information Retrieval, Generative AI or search. As a Senior Data Scientist, you will also be responsible for applying advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.

Requirements

• Must be eighteen years of age or older.
• Must be legally permitted to work in the United States.
• Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
• 4+ years of industry experience in Machine Learning and AI (specifically Conversational AI)
• Prior background and experience in building Generative AI based solutions for industry is a plus
• Working knowledge of Microsoft Excel and Power Point
• Experience in a modern scripting language (preferably Python)
• Proficient running queries against data (preferably with Google BigQuery or SQL)
• Proficient utilizing statistical techniques to identify key insights that help solve business problems
• Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
• Demonstrated experience in Machine Learning, Conversational AI, predictive modeling, data mining and data analysis
• 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.

Nice To Haves

• No additional education
• No additional years of experience
• None

Responsibilities

• 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
• 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
• 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
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior