Expert Data Scientist

St. Louis, MO, US, 63102

Nestlé

Nestlé is the world's largest food & beverage company. We unlock the power of food to enhance quality of life for everyone, today and for generations to come.

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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.

Position Summary

 

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 an Expert Data Scientist, you will support Purina’s need for enterprise-wide data science use case creation, deployment, and support, as well as leading data science efforts for must-win-battles—all of which provide millions in annual return.  The ideal candidate will have a deep understanding of advanced data science techniques and a proven track record of leveraging data to drive business insights and innovation. This role requires a strategic thinker who can lead data science projects, develop predictive models, and provide actionable insights to support decision-making across various business units. 

 

  • Lead the development and implementation of advanced data science models to solve complex business problems.
  • Analyze large datasets to identify trends, patterns, and opportunities for optimization.
  • Collaborate with stakeholders to understand business needs and translate them into analytical solutions.
  • Develop and maintain large language model solutions, agentic AI solutions, and GenAI solutions.
  • Provide thought leadership and subject matter expertise in data science and analytics.
  • Mentor and guide junior data scientists in the application of advanced analytics techniques.
  • Stay current with industry trends and emerging technologies in data science and analytics.

 

Requirements

  • Master’s Degree in Data Science, Applied Statistics, Mathematics, or related field
  • 7+ years of professional experience with 5+ of those years in data science and analytics
  • 5+ years of experience with machine learning algorithms and frameworks (e.g., TensorFlow, scikit-learn) for predictive modeling and data-driven decision-making
  • 1+ years of experience with designing, training, and deploying LLMs for various data science applications
  • 3+ years of experience in Python/ SQL for data manipulation and analysis
  • 3+ years of experience with cloud computing playforms (e.g., AZURE, AWS, GCP, etc.)

 

Other

  • PhD in Data Science, Applied Statistics, Mathematics or related field preferred
  • Knowledge of database systems and data warehousing solutions (e.g., SQL, NoSQL, Hadoop) for efficient data storage and retrieval is preferred
  • Understanding of agentic AI, which involves autonomous decision-making and action is preferred
  • Expertise in GenAI models such as GANs and diffusion models for content generation and complex data analysis is preferred 
  • Experience working with multimodal AI systems that integrate text, images, audio, and structured data is preferred
  • Expertise in prompt engineering, fine-tuning LLMs, and instruct-tuning GenAI models for domain-specific tasks is preferred
  • Understanding of evaluation techniques for generative models (e.g., hallucination detection, factuality scoring, bias assessment) and model alignment practices is preferred 

 

The approximate pay range for this position is $130,000 to $188,000. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and abilities as well as geographic location of the position. 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. Incentives and/or benefit packages may vary depending on the position. Learn more at About Us | Nestlé Careers (nestlejobs.com).

 

REQUISITION ID:

350936

 

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.
 

The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.

 

This position is not eligible for Visa Sponsorship. 

 

Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.

 

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Category: Data Science Jobs

Tags: AWS Azure Data analysis Data Warehousing Diffusion models Engineering GANs GCP Generative AI Generative modeling Hadoop LLMs Machine Learning Mathematics NoSQL PhD Predictive modeling Privacy Prompt engineering Python Scikit-learn SQL Statistics TensorFlow

Perks/benefits: 401(k) matching Career development Competitive pay

Region: North America
Country: United States

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