Senior Data Scientist, Marketing
homedepot · Store Support Center
Job description
About the role
The Home Depot is looking for a Senior Data Scientist, Marketing, to lead data science initiatives that drive business profitability, greater efficiencies and a better customer experience. The role helps build the advanced analytics infrastructure that informs decision making and acts as a lead on data science projects, presenting insights and recommendations to leaders and business partners. It also contributes to staffing needs and takes part in recruiting and hiring.
Key responsibilities
- Design and develop algorithms and models on large datasets to create business insights, choosing and interpreting advanced analytical methods
- Communicate insights and recommendations clearly to technical and non-technical leaders and partners, and prepare reports, updates and presentations
- Work with project teams and business partners to set goals, prioritize work and distribute workload and resources
- Mentor and coach more junior team members and support recruiting and hiring
- Build trust with internal customers and cross-functional teams, and educate them on advanced analytics
- Explore new developments in data science, document reusable algorithms and codified data products, and define best practices for model production
Required profile
- Age 18 or older and legally permitted to work in the United States
- Bachelor's degree or equivalent in a field related to the job
- Preferred: PhD in a quantitative field (Computer Science, Math, Statistics, etc.), 6+ years of experience in business intelligence and analytics, and 5 years of work experience
- Preferred: leadership experience is not required
Required skills
- Preferred: modern scripting language (preferably Python)
- Preferred: querying data (preferably Google BigQuery or SQL)
- Preferred: data visualization software (preferably Tableau)
- Preferred: prescriptive modeling such as optimization, computer vision, recommendation, search or NLP
- Preferred: predictive modeling, data mining and data analysis
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Published 7 hours ago
Expires 1 month from now
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Store Support Center
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