Data Scientist

Nestlé Purina
St. Louis, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 123K

Job location

St. Louis, United States of America

Tech stack

Amazon Web Services (AWS)
Data analysis
Azure
Continuous Delivery
Continuous Integration
DevOps
Distributed Computing Environment
Python
Machine Learning
NumPy
Standard Sql
Azure
SQL Databases
Data Processing
Cloud Platform System
Feature Engineering
Large Language Models
Snowflake
Prompt Engineering
Model Validation
Pandas
PySpark
Scikit Learn
Kubernetes
Information Technology
Machine Learning Operations
Software Version Control
Databricks

Job description

Digital Transformation is at the center of all that we do. With data-driven innovators passionate about making a difference in the lives of pets, we create cutting-edge digital business models that solve complex problems. You'll be at the forefront of digital advancements as they happen in real time, as well as ensure we remain a leader and innovator in the pet care category. Have a hand in making a lasting impact within our long-standing history.

As a Data Scientist at Nestlé Purina, you'll build and deploy the machine learning and optimization models that drive real business value across functions such as Manufacturing, Marketing, Supply Chain, Finance, and Consumer Insights. At the core of this role is traditional machine learning and optimization, building the models and optimization engines that power some of our highest-value business decisions. Working closely with cross-functional teams, you'll translate business problems into scalable analytical solutions, automate insights, and support enterprise decision-making.

  • Develop and deploy machine learning, statistical, and optimization models that solve business problems and improve operational performance
  • Support the development and maintenance of optimization engines that drive high-value business decisions
  • Collaborate with product owners, data engineers, and business stakeholders to translate business needs into scalable analytical solutions
  • Perform data wrangling, feature engineering, exploratory data analysis, and model evaluation using Python and SQL
  • Design and maintain reusable analytics workflows and automated pipelines for production-grade deployment
  • Support GenAI-enabled applications including retrieval augmented generation (RAG), copilots, and intelligent assistants
  • Contribute to AIOps/MLOps practices including model versioning, monitoring, continuous integration and continuous deployment pipelines, and responsible AI processes

Requirements

  • Bachelor's degree from an accredited institution in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field
  • 3+ years of professional experience in data science, analytics, or machine learning, including developing optimization or predictive models
  • 3+ years of experience in Python (e.g., scikit-learn, pandas, PySpark, 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/CI-CD practices, * Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is preferred
  • Experience with MLOps tools (e.g., MLflow, Azure ML, SageMaker, or Kubeflow) and model deployment in a production environment is preferred
  • Experience working with Databricks, Snowflake, or distributed data processing environments is preferred
  • Experience building GenAI-enabled applications such as RAG, copilots, or intelligent assistants is preferred
  • Familiarity with LLM orchestration frameworks (e.g., LangChain or Semantic Kernel), prompt engineering, and vector databases is preferred
  • Familiarity with responsible AI practices including bias detection, explainability, and governance is preferred

Don't meet all the qualifications listed under "Other"? These are preferred, but not required. When you apply for a role with Nestlé, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.

Benefits & conditions

(part of Nestlé), 3.33.3 out of 5 stars St. Louis, MO 63102 $88,000 - $123,000 a year, Pulled from the full job description

  • Health insurance
  • 401(k) matching, The approximate pay range for this position is $88,000 to $123,000 per year. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Learn more at https://nestlejobs.com/nestle-in-the-us.

It is our business imperative to remain a very inclusive workplace.

To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestlé home.

About the company

Driven by integrity and united by the people-and-pet bond, we find strong purpose in the work we do and an even greater joy in those we get to work alongside. Together, we harness the expertise of our long-standing tradition of excellence to embrace possibility and continuously push to do what's never been done before in pet care. Discover your purpose and fuel your passions when you bring your love of pets to a team that prides itself on the power of togetherness-We are Proudly Connected. Purely Driven.

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