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Data Science Manager
Campbell Arnott - Camden, NJ
posted 16 days ago
About the position
The Data Science Manager - Procurement plays a pivotal role in enhancing the Procurement organization's capabilities through data science and advanced analytics. This position is responsible for contributing to the strategy and execution of initiatives that leverage data to drive efficiency, innovation, and decision-making processes. The role involves close collaboration with IT and cross-functional teams to develop and implement analytical tools and solutions that support the organization's growth objectives. This is an exciting opportunity to influence our procurement strategies by transforming insights into actionable foresights and optimizing our operations and contributing to the overall efficiency of the organization.
Responsibilities
- Develop and execute an advanced analytics program to enhance procurement operations, reduce manual tasks, and improve decision-making speed.
- Align procurement risk management strategies with business objectives, incorporate predictive analytics for informed decision-making.
- Communicate data insights clearly to the Senior Leadership Team and engage with procurement teams to understand their needs and support them with data-driven solutions.
- Adopt and integrate AI and generative AI technologies to automate procurement processes, enhance decision-making, and identify innovative sourcing opportunities.
- Collaborate with IT and business partners to implement data-driven solutions for cost reduction and quality improvement.
- Identify revenue enhancement opportunities through data and forensic analytics, working closely with sales, marketing, and finance to align procurement strategies.
- Champion continuous improvement and professional development within the team, keeping up with industry trends and new technologies.
- Foster a culture of innovation, continuous learning, and collaboration, providing leadership and direction.
Requirements
- Bachelors Degree Required and 6+ years' experience in open source programming languages for large scale data analysis
- Or, Masters Degree and 4+ years' experience in open source programming languages for large scale data analysis
- Or, PhD and 2+ years' experience in open source programming languages for large scale data analysis
- Experience with econometric modeling, regression analytics or machine learning
- Experience with relational databases
Nice-to-haves
- Master's degree, or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Computer Science or related disciplines
- Experience in Python, Spark, Scala, or R for large scale data analysis
- Experience with econometric modeling, regression analytics or machine learning
- Experience working with Azure or AWS
- Experience in Supply Chain or Procurement
Benefits
- Benefits begin on day one and include medical, dental, short and long-term disability, AD&D, and life insurance (for individual, families, and domestic partners).
- Employees are eligible for our matching 401(k) plan and can enroll on the first day of employment with immediate vesting.
- Campbell's offers unlimited sick time along with paid time off and holiday pay.
- If in WHQ - free access to the fitness center. Access to on-site day care (operated by Bright Horizons) and company store.
- Giving back to the communities where our employees work and live is very important to Campbell's. Our "Campbell's Cares" program matches employee donations and/or volunteer activity up to $1,500 annually.
- Campbell's has a variety of Employee Resource Groups (ERGs) to support employees.
