Director, Data Analytics

C&S Wholesale Grocers • Edison, NJ

7h • Onsite

About The Position

The Director, Data Scientist will work closely with data science and engineering teams and the entire data management and IS community at the Company in proactive design and development of Machining Learning, Deep Learning and AI capabilities. These capabilities will include predictive, prescriptive, adaptive and generative applications for business use cases cross loyalty, eCommerce, price and promotions, store operations and supply chains.

Requirements

• 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.
• 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 years of professional experience in a quantitative, analytical capacity
• 7-10 years of data science solution development or process automation
• 7-10 years of project or people management
• Bachelor's Degree - Computer Systems Analysis

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Director