Data Scientist - Decision Analytics

Home Depot / THD; Atlanta (GA); On-site; USD 110,000 - 150,000; Full time

Job summary

Home Depot in Atlanta is seeking a data analytics specialist to design and develop models that generate business insights from large datasets. You will serve as a technical lead on analytics projects and guide teams to deliver impactful data solutions.

Responsibilities include communicating findings to business partners, delivering recommendations to influence decisions, and building reusable algorithms. Requires a related degree and at least 3 years of BI/analytics experience; a Master’s is

Qualifications

• Bachelor’s degree program or equivalent in a related field.
• Minimum 3 years in BI/analytics.
• Experience leading analytics projects or teams.
• Strong communication with business partners.

Responsibilities

• Design and develop models to generate business insights from large datasets.
• Serve as a technical lead on analytics projects.
• Lead small projects and work independently on solution development.
• Communicate insights and recommendations to technical and non-technical leaders.
• Deliver recommendations to influence execution and implementation.
• Prepare reports and presentations for projects and solutions.

Skills

Excel

PowerPoint

Python

Google BigQuery

SQL

Tableau

BI/Analytics

Data Visualization

Education

Bachelor’s degree in a related field

Master’s degree in a quantitative field

Job description

Shape analytics solutions that improve profitability, efficiency, and customer experience for Home Depot in Atlanta.

Responsibilities

• Design and develop algorithms and models to generate business insights from large datasets
• Serve as a technical lead on large data analytics project teams
• Lead small projects and work independently on solution development
• Apply advanced analytical methodologies, including appropriate selection, utilization, and interpretation
• Develop approaches that incorporate business knowledge
• Communicate insights and recommendations to technical and non-technical leaders, and business partners
• Deliver recommendations in a confident manner to influence execution and implementation
• Prepare reports, progress updates, and presentations for projects and solutions
• Clearly explain the impact of recommendations to support alignment and appropriate rollout
• Build trust and collaboration with internal customers and cross-functional teams
• Partner with project teams and business stakeholders to define project goals
• Stay current on key developments in data science, technical skill sets, and additional data sources
• Contribute to continuous improvement by creating replicable solutions (for example, codified data products, documentation, process flowcharts) for reuse in future projects
• Build and maintain a library of reusable algorithms; document developed code for future use
• Develop trust and collaboration through effective cross-functional work

Requirements

• Must be eighteen years of age or older
• Must be legally permitted to work in the United States
• Bachelor’s degree program or equivalent degree in a field related to the job
• Minimum experience: 3 years

Technologies

• Microsoft Excel
• Power Point
• Python
• Google BigQuery
• SQL
• Tableau

Position Purpose

• Support data science initiatives that drive business profitability, increased efficiencies, and improved customer experience
• Use industry-leading analytical methodologies to work with large datasets and solve business problems
• Document developed code into a library of reusable algorithms
• Depending on the data science team, build knowledge in one or more specializations such as: optimization, computer vision, recommendation, search, or NLP

Work Location and Logistics

• Location: Atlanta, GA (onsite)
• Travel requirements: Typically overnight travel less than 10%

Working Conditions

• Most time is spent sitting in a comfortable position with frequent opportunity to move about
• On rare occasions, may need to move or lift light articles
• Located in a comfortable indoor area; unpleasant conditions would be infrequent and not objectionable

Preferred Qualifications

• Master’s in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience
• 4+ years of experience in business intelligence and analytics
• Working knowledge of Microsoft Excel and Power Point
• Experience in a modern scripting language (preferably Python)
• Proficient running queries against data (preferably Google BigQuery or SQL)
• Proficient with data visualization software (preferably Tableau)
• Proficient utilizing statistical techniques to identify key insights for business problem solving
• Knowledgeable in prescriptive modeling such as optimization, computer vision, recommendation, search, or NLP
• Demonstrated experience in predictive modeling, data mining, and data analysis

Competencies

• Action Oriented: Takes on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
• Business Insight: Applies knowledge of the business and the marketplace to advance organizational goals
• Collaborates: Builds partnerships and works collaboratively with others to meet shared objectives
• Communicates Effectively: Delivers multi-mode communication for different audiences
• Customer Focus: Builds customer-centric solutions
• Drives Results: Achieves results even under tough circumstances
• Nimble Learning: Learns through experimentation using successes and failures
• Optimizes Work Processes: Improves efficiency and continuously enhances processes
• Plans and Aligns: Plans and prioritizes work aligned with organizational goals
• Self-Development: Seeks growth through formal and informal development channels