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About the Role
The Sr. Data Scientist leads data science initiatives to drive business profitability, increase efficiencies, and improve customer experience. This role assists in developing the advanced analytics infrastructure to inform decision-making and seeks business opportunities to leverage data science as a competitive advantage. Proficiency in specializations like optimization, computer vision, recommendation, search, or NLP is required, depending on the team. The role involves serving as a lead on projects, collaborating with managers, prioritizing tasks, balancing workload, and mentoring junior data scientists. Presenting insights and recommendations to leaders, explaining benefits and impacts, and supporting recruiting efforts are key aspects. Collaboration with business partners and cross-functional teams requires effective communication, relationship building, and leveraging business proficiency.
Responsibilities
- Design and develop algorithms and models to extract business insights from large datasets.
- Execute tasks with high levels of efficiency and quality.
- Select, utilize, and interpret advanced analytical methodologies.
- Communicate insights and recommendations to technical and non-technical leaders and business partners.
- Prepare reports, updates, and presentations on project progress.
- Clearly communicate the impacts of recommendations to drive alignment and implementation.
- Determine project goals in collaboration with project teams and business partners.
- Provide direction on work prioritization and ensure quality.
- Mentor and coach junior roles to enhance their technical competencies.
- Collaborate with managers and teams on workload and resource distribution.
- Support recruiting and hiring efforts for the team.
- Leverage extensive business knowledge into solution approaches.
- Develop trust and collaboration with internal customers and cross-functional teams.
- Provide general education on advanced analytics to business partners.
- Understand IT needs for the team to solve business problems.
- Seek 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.
- Define best practices and develop a clear vision for data analysis and model productionalization.
- Contribute to a library of reusable algorithms, ensuring developed code is documented.
Requirements
- Must be eighteen years of age or older.
- Must be legally permitted to work in the United States.
Skills
- Optimization
- Computer vision
- Recommendation
- Search
- NLP
- Python
- Google BigQuery
- SQL
- Tableau
- Statistical techniques
- Prescriptive Modeling
- Predictive modeling
- Data mining
- Data analysis
- Microsoft Excel
- Microsoft Power Point
Location
- Onsite
Work Type
- Full-time
Experience Level
- Senior
- 5+ years of work experience
- 6+ years of experience in business intelligence and analytics
Education Level
- Bachelor's degree program or equivalent
- PhD in a quantitative field (Computer Science, Math, Statistics, etc.)
About the Company
- With a career at The Home Depot, you can be yourself and also be part of something bigger.