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Manager, Data Science
Ahold Delhaize USA
Quincy, USA
Full-time
Senior · 8+ years experience
Hybrid
USD 136160-204240 yearly / year
Discovered 3 days ago
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- Provide ongoing leadership to a strong, capable team that meets or exceeds the company's Data Science requirements.
- Develop and train team of Data Scientists to create quality models, ensuring outputs are logical and actionable.
- Provide ongoing counsel to key clients Sr. Brand, Marketing and Merchandising Leadership and other key decision makers regarding proper interpretation and application of model output.
- Provide input and significantly influence the development and refinement of company strategies.
- Lead the development and deployment of customer segmentations, scores, store clustering and other KPI models to predict the impact of potential actions or programs being considered.
- Lead innovation in data science methodologies and tools, staying abreast of industry developments related to data science and proactively exploring opportunities to advance organizational capabilities.
- Develop strong relationships that enable learning about the business and how their work directly impacts decisions.
- For specific projects, draw out critical information that impacts the learning objectives and incorporate into all work.
- Identification of additional data requirements and partner with the data domain owners to collect and organize new data elements.
- Maintain proficiency with major business systems and the data on which it relies.
- Subject matter expert on methodologies and data sources used in modeling environment.
- At least 8 years experience in Data Science
- At least 3 years of experience managing a team
- Strong foundation in statistics and machine learning
- Experience building customer segmentation models (experience in Fulfillment domain is a plus)
• Programming Languages - SQL, Python, Spark
- Master's Degree in Quantitative Field (Statistics, Mathematics, Economics, etc.
- Experience in the Food industry (Grocery, CPG, etc.) or Retail industry
- Experience in the Fulfillment domain
- Experience with forecasting
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