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Data ScientistCampbell Soup Company • United States
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Data Scientist

Campbell Soup Company
  • US
    United States
  • US
    United States
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À propos

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... The Data Science Analyst plays a critical role in supporting the Demand Planning function by developing and enhancing advanced forecasting models. In this role, you will select optimal modeling approaches for different scenarios, tune parameters to improve performance, and supplement models with custom algorithm development when necessary. You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize financial and supply chain performance, and deliver measurable business impact. WHAT YOU WILL DO... Model Development Develop and refine AI and machine learning models for demand forecasting using techniques such as time series analysis, regression, and ensemble learning
Data Analysis Conduct exploratory data analysis (EDA) to identify patterns, anomalies, and key demand drivers
Insight Generation Translate data into actionable insights to understand the impact of promotions, pricing, and external factors on demand
Platform Utilization Use the o9 platform and open-source IDEs for model development, deployment, data management, and visualization
Continuous Improvement Monitor and improve forecasting model accuracy, adapting to changing market conditions
Collaboration Partner with demand planners, analysts, and business stakeholders to ensure models and insights are practical and impactful
WHO YOU WILL WORK WITH... Demand Planning teams
Business analysts and data analysts
Cross-functional business stakeholders
Supply chain and commercial teams
WHAT YOU BRING TO THE TABLE... (MUST HAVE) 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
IT WOULD BE GREAT IF YOU HAVE... (NICE TO HAVE) Master's degree in a related field
Forecasting experience
Experience working with supply chain or demand planning datasets
Experience with the o9 platform
Working Conditions Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office)
10-15% travel for company and customer meetings
Compensation and Benefits: The target base salary range for this full-time, salaried position is between $109,400-$157,200
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. The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.
  • United States

Compétences linguistiques

  • English
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