Senior Data Scientist – Finance Analytics, Automation & AI
United States
Full Time
1 hour ago
No Visa Sponsorship
Key skills
BigQueryPythonSQLTableauNLPComputer VisionAnalyticsBusiness IntelligenceData MiningMentoringDecision Making
About this role
Role Overview
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.
This role would need to be proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
Serve as a lead on data science projects, collaborating with project/product managers.
Provide prioritization of tasks, balancing workload and mentoring data scientists on the project team.
Present insights and recommendations to leaders and business partners.
Support the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process.
Requirements
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
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.
Tech Stack
BigQuery
Python
SQL
Tableau
Benefits
Typically requires overnight travel less than 10% of the time.
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.
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.