Campbell Soup Company

Senior Data Scientist

Campbell Soup Company • $109K — $150K *
Camden, NJ 08105In-Person
Food & Beverages
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Master's degree in a quantitative field or equivalent practical experience.
  • 4+ years of hands-on experience in production environments for advanced analytics and machine learning.
  • Strong foundation in statistics, probability, and data science methodologies.
  • Advanced proficiency in Python and/or R for building analytical solutions.
  • 2+ years of experience with SQL and modern data platforms like Snowflake or Databricks.
  • Familiarity with machine learning libraries such as TensorFlow and PyTorch.
  • Proficient in MLOps practices including Git and CI/CD processes.

Responsibilities

  • Lead development of advanced analytics solutions using ML, AI, and statistical techniques.
  • Convert complex data into insights by cleansing and validating data.
  • Oversee the deployment and lifecycle management of production models.
  • Collaborate with stakeholders to identify and address high-impact analytics opportunities.
  • Design and implement experimentation strategies for data-driven decision-making.
  • Create visualizations and narratives to communicate findings to stakeholders.
  • Mentor junior data scientists and contribute to analytics community standards.

Benefits

  • Competitive health and dental insurance starting Day 1.
  • 401(k) plan with company matching.
  • Wellness benefits to support employee health.
  • Access to additional forms of compensation and rewards package.
Full Job Description




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 leadership, and best practices.
  • Contribute to the development of analytics standards, reusable assets, technical documentation, recruiting efforts, training programs, and data science communities of practice across the organization.


WHO YOU WILL WORK WITH...
  • Data Science, Data Engineering, and ML Engineering teams
  • Supply Chain, Finance, Marketing, Sales, and R&D leaders
  • Business stakeholders and decision-makers across Campbell's
  • Internal analytics communities and cross-functional project teams
  • Senior leadership teams responsible for strategic business initiatives
  • External retail partners as part of joint value creation opportunities


WHAT YOU BRING TO THE TABLE... (MUST HAVE)
  • Master's degree in Statistics, Computer Science, Mathematics, Engineering, Operations Research, or a related quantitative field; equivalent practical experience will also be considered.
  • 4+ years of hands-on experience developing and deploying advanced analytics, machine learning, and statistical models in production environments.
  • Strong foundation in data science methodologies, including probability, statistics, supervised and unsupervised learning, forecasting, experimentation, causal inference, and optimization.
  • Advanced proficiency in Python and/or R with experience building scalable, modular, tested, and version-controlled analytical solutions.
  • 2+ years of experience working with SQL and modern data platforms such as Snowflake, Databricks, Spark, or comparable technologies.
  • Experience developing and deploying machine learning solutions using libraries and frameworks such as pandas, NumPy, SciPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, and statsmodels.
  • Experience with MLOps and software engineering best practices, including Git, Docker, MLflow, CI/CD processes, model monitoring, and production support.
  • Ability to design experiments, establish success metrics, quantify business impact, and effectively communicate findings to both technical and non-technical audiences.
  • Strong problem-solving, stakeholder management, and communication skills with the ability to influence decision-making and drive adoption of analytical solutions.
  • Demonstrated experience leading complex projects and mentoring junior team members.


IT WOULD BE GREAT IF YOU HAVE... (NICE TO HAVE)
  • PhD in Statistics, Computer Science, Mathematics, Engineering, Operations Research, or a related quantitative discipline.
  • Experience with optimization modeling and tools such as Gurobi, PuLP, or similar frameworks.
  • Experience with cloud-based analytics and machine learning platforms, particularly Microsoft Azure, including Databricks, Synapse, AKS, Azure Functions, and cloud storage services.
  • Experience building analytical applications, dashboards, or decision-support tools using Power BI, Tableau, Plotly Dash, or similar technologies.
  • Familiarity with feature stores, advanced production MLOps frameworks, and large-scale model governance practices.
  • Experience within Consumer Packaged Goods (CPG), retail, or related industries.
  • Expertise in business domains such as demand forecasting, pricing and promotions, marketing mix modeling, assortment optimization, trade spend analytics, or supply chain optimization.

Experience contributing to recruiting, training, and capability-building initiatives within data science or analytics organizations.

Compensation and Benefits:

The target base salary range for this full-time, salaried position is between
$109,400-$150,400

Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.

About Campbell Soup Company

Campbell Soup Company (Campbell) together with its subsidiaries, is a manufacturer and marketer of branded convenience food products. The Company operates in five segments: U.S. Simple Meals; Global Baking and Snacking; International Simple Meals and Beverages; U.S. Beverages; and North America Foodservice. In June 2012, the Company purchased 1300 Admiral Wilson Boulevard in Camden. On August 6, 2012, the Company completed the acquisition of BF Bolthouse Holdco LLC (Bolthouse Farms). In September 2012, Vilmorin & Cie SA acquired the tomato and pepper breeding and sales business of the Company. In June 2013, Campbell Soup Co completed the acquisition of Plum Organics. In August 2013, Campbell Soup Company completed the acquisition of Kelsen Group A/S. In October 2013, it completed the sale of its European simple meals business to CVC Capital Partners.

Campbell Soup Company Careers

Join the vibrant team at Campbell Soup Company, a leader in the food industry, where your career growth and innovation meet exceptional opportunities. At Campbell, we are committed to fostering a diverse and inclusive workplace that offers numerous job opportunities across various fields. Work You’ll Do Embark on a fulfilling career journey with Campbell Soup Company and contribute to a legacy of quality and innovation. Our team is dedicated to excellence and pushing the boundaries of what is possible in the food industry. Lead with us at the forefront of the market, where your skills in leadership, teamwork, and professional development are highly valued. Campbell offers a unique position in the marketplace that combines industry expertise, culinary innovation, and a commitment to sustainability. Join a global team of professionals who are passionate about making a real impact in the company and the community. Collaborate with talented individuals who bring a wealth of knowledge and experience to the table. Campbell Soup Company Job Opportunities We are continuously expanding our team and looking for talented individuals who are eager to drive change and lead the industry. Explore a range of job opportunities, from entry-level positions to executive roles, each offering a path to personal and professional growth. Innovate with Us Be part of a company that thrives on innovation and is constantly seeking new ways to delight consumers and improve our products. At Campbell, you will have the chance to work on challenging projects that refine your skills and advance your career. Internship Programs Kickstart your career with a Campbell Soup Company internship. Our programs provide invaluable industry experience and a chance to develop essential skills in a real-world setting. Internships are a stepping stone to full-time employment and offer a comprehensive view of our company culture and operations. Benefits and Culture Campbell Soup Company is dedicated to supporting our team members' professional and personal growth. We offer competitive benefits, including health care, retirement plans, and continuous learning and diversity training opportunities. Our culture is one of collaboration, respect, and empowerment, making Campbell a great place to work. Leadership and Development Advance your career with leadership training and professional development programs designed to hone your skills and prepare you for future challenges. At Campbell, we believe in nurturing our team's potential and providing them with the tools they need to succeed. Stay Connected Join Our Team Search open positions that match your skills and interests. We are looking for passionate, innovative, and solution-driven team players. Explore the exciting and rewarding career opportunities waiting for you at Campbell Soup Company. Keep Up to Date Stay informed with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. Job Alert Emails Customize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the dynamic and rewarding career paths available at Campbell Soup Company.
Learn more about Campbell Soup Company
Size
14,100 employees
Market Cap
$17 billion
Industry
Food & Beverages
Net Income
$808 million
Founded
1869
5 Year Trend
+8%
Revenue
$8.9 billion
NASDAQ
CPB
* Ladders Estimates

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