Data Scientist

About the role

Since 1869, we've connected people through food they love. We're proud to be stewards of amazing brands like Campbell's, Cape Cod, Chunky, and many others. Here, you'll make a difference every day. Supported to build a rewarding career with opportunities to grow, innovate, and inspire.

Responsibilities

• Select optimal modeling approaches for different scenarios and tune parameters to improve performance.
• Supplement models with custom algorithm development when necessary.
• Develop and refine AI and machine learning models for demand forecasting using techniques such as time series analysis, regression, and ensemble learning.
• Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and key demand drivers.
• Translate data into actionable insights to understand the impact of promotions, pricing, and external factors on demand.
• Use the o9 platform and open-source IDEs for model development, deployment, data management, and visualization.
• Maintain and continuously improve forecasting model accuracy, adapting to changing market conditions.
• Collaborate with demand planners, analysts, and business stakeholders to ensure models and insights are practical and impactful.

Requirements

• 4+ years of experience in data science, forecasting, or advanced analytics (supply chain experience strongly preferred).
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
• Strong proficiency in Python, R, SQL, GitHub, and IDEs such as PyCharm or VS Code.
• Solid understanding of statistical modeling and machine learning techniques (e.g., time series, regression, ensemble learning).
• Expertise in exploratory data analysis (EDA), data cleaning, and feature engineering.
• Strong analytical and problem-solving skills.
• Ability to translate complex analyses into clear business insights.
• Experience identifying and prioritizing risks.
• Continuous improvement mindset.

Qualifications

• Master’s degree in a related field (nice to have).
• Forecasting experience (nice to have).
• Experience working with supply chain or demand planning datasets (nice to have).
• Experience with the o9 platform (nice to have).

Skills

• Data Science
• Forecasting
• Advanced Analytics
• Machine Learning
• Exploratory Data Analysis
• Python
• R
• SQL
• GitHub
• IDEs (PyCharm, VS Code)

Benefits

• Medical, dental, short and long-term disability, AD&D, and life insurance (individual, families, and domestic partners).
• Matching 401(k) plan with immediate vesting.
• Unlimited sick time, paid time off, and holiday pay.
• Free access to the fitness center if in WHQ.
• Access to on-site day care operated by Bright Horizons and company store.
• "Campbell’s Cares" program matching employee donations and/or volunteer activity up to $1,500 annually.
• A variety of Employee Resource Groups (ERGs) to support employees.

Pay

• 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.

Schedule

• Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday–Thursday in-office).
• 10–15% travel for company and customer meetings.