Senior Data Scientist, Online

Home Depot; Atlanta (GA); On-site; USD 120,000 - 190,000; Full time

Job summary

The Home Depot is seeking a Sr. Data Scientist to lead data science initiatives that drive profitability, efficiency, and customer experience.

You will shape analytics infrastructure and mentor team members while partnering with product managers and business leaders to translate insights into action. Ideal candidates have a PhD or equivalent, 6+ years in BI/analytics, strong Python, SQL, and visualization skills, and experience building replicable data products.

Qualifications

• PhD in Computer Science, Math, Statistics or a related field.
• 6+ years of BI and analytics experience.
• Strong Python programming skills.
• Experience with SQL and data visualization tools.
• Ability to lead projects and mentor teammates.

Responsibilities

• Lead data science initiatives to improve profitability and customer experience.
• Develop and advance analytics infrastructure and data products.
• Collaborate with PMs and business partners to translate insights into actions.
• Mentor junior data scientists and participate in recruiting.

Skills

Python

SQL

Data Visualization

Project Leadership

Mentoring

Education

PhD in quantitative field

Tools

Excel

PowerPoint

Tableau

Google BigQuery

SQL

Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.

Position Purpose:

The Sr. 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. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.

As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. 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, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.

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 Educat