Nestlé is looking to solve complex problems using data-driven innovators and cutting-edge digital business models to remain a leader and innovator in the pet care category.
Requirements
- 3+ years of professional experience in data science roles
- 3+ years of experience in Python (e.g., scikit-learn, pandas, and NumPy ) and SQL for data manipulation and analysis
- 1+ years of experience working with cloud computing platforms (e.g., Azure, AWS, or GCP) and DevOps practices.
- Experience with Machine Learning Ops tools and model deployment in production environments is preferred
- Experience working with Databricks for collaborative data science and engineering workflows is preferred
- Experience automating jobs and workflows for scalable analytics solutions is preferred
- Familiarity with data catalog tools for data discovery, governance, and metadata management is preferred
Responsibilities
- Develop and deploy machine learning models and statistical analyses to solve business problems
- Collaborate with product owners, engineers, and business stakeholders to translate business needs into data science solutions
- Perform data wrangling, feature engineering, and exploratory data analysis using Python and SQL
- Contribute to the design and implementation of scalable data pipelines and model deployment workflows
- Communicate findings and recommendations through clear visualizations and storytelling
- Stay current with emerging tools and techniques in data science and apply them to real-world use cases
- Participate in peer code reviews and contribute to best practices in model development and deployment
Other
- Bachelor's Degree from an accredited institution
- Master’s degree in Data Science, Computer Science, Statistics, or a related field is preferred
- Exposure to GenAI or LLMs is preferred
- Previous experience with data visualization tools such as Power BI or Tableau is preferred
- This position is not eligible for Visa Sponsorship.
