Senior Data Scientist - ML & AI Leader, Production Analytics

Campbell Soup

Camden (NJ)

Presencial

USD 109.000 - 150.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Campbell's is seeking a Senior Data Scientist in the United States to lead hands-on analytics initiatives, partnering with business units to transform complex challenges into scalable analytics products. You will mentor teammates and drive production-ready ML solutions that deliver measurable ROI.

The role emphasizes collaboration with Supply Chain, Finance, Marketing, and R&D, deploying models with robust governance and monitoring in a dynamic consumer goods environment.

Formación

  • Master's degree in Statistics, CS, Math, Engineering, OR related field.
  • 4+ years of hands-on analytics, ML, and statistical models in production.
  • Strong foundation in probability, statistics, forecasting, experimentation, and optimization.
  • Proficiency in Python and/or R with scalable, tested analytics solutions.
  • 2+ years of SQL and data platforms (Snowflake, Databricks, Spark).
  • Experience with libraries: pandas, NumPy, SciPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM.
  • Experience with MLOps and software engineering best practices (Git, Docker, MLflow, CI/CD).
  • Ability to design experiments, measure success, and communicate findings to technical and non-technical audiences.
  • Strong problem-solving, stakeholder management, and leadership abilities.

Responsabilidades

  • Lead end-to-end development of advanced analytics, ML, AI, and optimization solutions.
  • Translate data into actionable insights through data sourcing, cleansing, and engineering.
  • Own deployment, monitoring, and lifecycle management of production models with CI/CD and drift detection.
  • Collaborate with Supply Chain, Finance, Marketing, Sales, and R&D to deliver measurable ROI.
  • Design experiments and A/B testing to evaluate business initiatives.
  • Create compelling visualizations and narratives for senior leadership.
  • Work with data engineering to enhance platforms and evaluate new technologies.
  • Mentor junior data scientists through code reviews and guidance.
  • Contribute to analytics standards, documentation, and training programs.

Conocimientos

Data science methodologies
Python/R
SQL
Machine learning
MLOps
Communication
Project leadership

Educación

Master's degree
PhD (nice to have)

Herramientas

Snowflake
Databricks
Spark
Git
Docker
MLflow
CI/CD

Descripción del empleo

Campbell's is seeking a Senior Data Scientist in the United States to lead hands-on analytics initiatives, partnering with business units to transform complex challenges into scalable analytics products. You will mentor teammates and drive production-ready ML solutions that deliver measurable ROI.

The role emphasizes collaboration with Supply Chain, Finance, Marketing, and R&D, deploying models with robust governance and monitoring in a dynamic consumer goods environment.

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