Director, Data Analytics

Salary Range

• Initiate algorithm, design roadmap, identify and prioritize business challenges that can be addressed using AI, ML techniques, and lead through the implementation of Data science solutions powered by AI, ML, DL, in the support of optimization across all business units, and drive actionable recommendations
• Collaborate with the data engineering team, provide architect design of system infrastructure and strategy on automation, streamlining and standardization, to develop scalability of data science processes, drive optimal performance across all data science solutions and maximize DS team efficiency and productivity.
• Collaborate with the data governance team and IS community to ensure compliance and support of best practices around data policy and data quality assurance, and to support corporate initiatives around cloud migration and system upgrades.
• Partner with business partners and project managers in requirements discussions to provide data science expertise on the consultation of solution scope, design and associated effort estimates; develop healthy working relationships with key cross-functional stakeholders to drive effective and efficient communication, collaboration and prioritization alignments
• Maintain a thorough and up-to-date knowledge of latest advancements in AI, ML, DL technologies and industry best practices, and ensure their incorporation into organization strategy, also communicate progress to influence the IS community via presentations
• Conduct resource management responsibilities including recruiting, performance monitoring and evaluation, goal setting, employee onboarding/training and career development.
• Travel Required:Yes

• Office : Office Temperature (65F to 75F)

• Specialized Knowledge : Solid coding experience with open source tools such as Python, R, SQL or PySpark in the cloud environment required; Advanced experience and knowledge with data lake, lakehouse, EDW, pipelines, data management and processing tools; Advanced experience and knowledge of scientific and ML libraries (SciPy, Scikit-learn, NumPy, SpaCy), working knowledge with DL frameworks such as Tensorflow, PyTorch etc.
• Special Skills : Strong command on quantitative methods and data science applications; Ability to rapidly develop familiarity with proprietary data systems and IT infrastructure to extract data needed; Advanced communication and presentation skills.

• 10-15 : professional experience in a quantitative, analytical capacity
• 7-10 : data science solution development or process automation
• 7-10 : project or people management

C&S Wholesale Grocers, LLC is an industry leader in supply chain solutions and wholesale grocery supply in the United States. Founded in 1918 as a supplier to independent grocery stores, C&S now services customers of all sizes, supplying more than 7,500 independent supermarkets, chain stores, military bases and institutions with over 100,000 different products. C&S also proudly operates and supports corporate grocery stores and services independent franchisees under a chain-style model throughout the Midwest, South and Northeast. We are an engaged corporate citizen, supporting causes that positively impact our communities.

Working Safely is a Condition of Employment at C&S Wholesale Grocers, LLC. C&S Wholesale Grocers is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. The Company provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.