Senior Data Scientist
Job in
Camden, Camden County, New Jersey, 08100, USA
Listed on 2026-10-16
Listing for:
Campbell Soup Company
Full Time
position Listed on 2026-10-16
Job specializations:
-
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, Data Analyst, AI Engineer (Applied/Software)
Job Description & How to Apply Below
USA - NJ - Camden time type:
Full time posted on:
Posted Todayjob requisition :
Req-67264
** Since 1869, we've connected people through food they love. We’re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell’s brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao’s Homemade, Snack Factory, Snyder’s of Hanover. Swanson, and V8.
**** Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
**** Why Campbell’s...
*** 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.
** HOW YOU WILL MAKE HISTORY HERE...
** As a Senior Data Scientist, you will serve as a hands-on technical leader responsible for scoping, developing, and operationalizing advanced statistical, machine learning, and AI solutions that deliver measurable business value for Campbell’s. You will partner with business and technical leaders across the organization to transform complex, ambiguous challenges into scalable, production-ready analytics products. Through your expertise, leadership, and mentorship, you will elevate data science capabilities, influence strategic decision-making, and help position Campbell’s as a data-driven market leader and preferred retail partner.
** WHAT YOU WILL DO...
*** Lead the end-to-end development of advanced analytics solutions, including Machine Learning, Deep Learning, Artificial Intelligence, Optimization, Simulation, Data Mining, and Multivariate Statistical techniques such as clustering, regression, PCA, hypothesis testing, and factor analysis.
* Translate complex and unstructured data into actionable insights by sourcing, cleansing, engineering, and validating data while ensuring reproducibility, quality assurance, and model governance.
* Own the deployment, monitoring, and lifecycle management of production models in partnership with Data Engineering and ML Engineering teams, including CI/CD, drift detection, model retraining, and performance monitoring.
* Partner with stakeholders across Supply Chain, Finance, Marketing, Sales, and R&D to identify high-impact opportunities and develop data science solutions that generate measurable business outcomes and ROI.
* Design and lead experimentation strategies, including A/B testing and quasi-experimental approaches, to evaluate business initiatives and support data-driven decision-making.
* Develop compelling visualizations, presentations, and business narratives that translate technical findings into actionable recommendations for senior leadership and non-technical audiences.
* Collaborate with data engineering teams to enhance data and machine learning platforms, evaluate emerging technologies, and recommend improvements that increase scalability, speed, and reliability.
* Mentor and coach junior data scientists through code reviews, methodology guidance, technical…
Position Requirements
10+ Years
work experience
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