Senior Data Scientist, Online
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Key skills for this role
About the Role
The Home Depot is looking for a Senior Data Scientist to lead data science initiatives that drive business profitability and improve customer experience. The role involves designing algorithms, managing projects, and mentoring junior team members.
Key Skills for This Role
Responsibilities
- Proficiently design and develop algorithms and models to use against large datasets to create business insights
- Effectively communicate insights and recommendations to both technical and non technical leaders
- Work with project teams and business partners to determine project goals
- Provide mentoring and coaching to more junior roles
- Leverage extensive business knowledge into solution approach
- Seek further knowledge on key developments within data science
- Participate in the continuous improvement of data science and analytics by developing replicable solutions
- Define best practices and develop clear vision for data analysis and model productionalization
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
- 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
- Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
- Demonstrated proficiency in predictive modeling, data mining and data analysis
Full Job Posting
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.
Key Responsibilities
- 35% Solution Development Proficiently design and develop algorithms and models to use against large datasets to create business insights.
- 30% Project Management & Team Support Work with project teams and business partners to determine project goals.
- 20% Business Collaboration Leverage extensive business knowledge into solution approach.
- 15% Technical Exploration & Development Seek further knowledge on key developments within data science.
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.
- Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP.
- Demonstrated proficiency in predictive modeling, data mining and data analysis.
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.
Minimum Years Of Work Experience
- 5
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