Position SummaryJoin Nestlé IT & Digital as an Expert Data Scientist supporting Nestlé USA (NUSA). In this role, you will combine business insights with cutting-edge AI/ML and data science, driving impactful analytics initiatives across our organization. As an advanced analytics expert, you will collaborate closely with various business functions to identify opportunities and create robust use cases. You will design, enhance, and implement sophisticated data science and AI/ML solutions, building verification and workflow scaffolding that lets a product team ship reliably. Success is measured by durable impact, adoption, and measurable business value. As models, agents and the surrounding tooling keep reinventing themselves, you'll leverage state-of-the-art tooling to transform everyday challenges into analytics solutions that propel our enterprise forward.
- Lead the end-to-end development and deployment of machine learning models from experimentation and evaluation through production deployment, adoption, and ongoing optimization, aligned with business priorities.
- Partner with stakeholders across the business to translate complex or ambiguous business challenges into clear technical requirements, defining data needs, success criteria, tradeoffs, risks, and actionable solutions that deliver measurable business value.
- Develop and deploy solutions within enterprise cloud environments, including automating jobs, provisioning resources, deploying packages, and navigating enterprise security requirements.
- Design evaluation, monitoring, and validation frameworks for production AI/ML solutions, identifying model, data-quality, and pipeline issues to ensure solutions remain reliable and effective at scale.
- Partner across global and regional IT & Digital teams to scale analytics and ML capabilities, navigating enterprise platforms, roadmaps, and processes to enable adoption.
- Elevate team and organizational capability by documenting technical decisions and learnings, coaching teammates and business users, and applying security, resilience, and responsible AI/ML principles throughout solution development.
Requirements - Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related field
- 7+ years of professional experience, including 5+ years of experience building and deploying production AI/ML solutions adopted by end users, including scaling solutions in enterprise environments using MLOps, cloud data platforms, and emerging AI/ML technologies
- 3+ years of experience developing with Python/PySpark to automate tasks, manipulate data, and build production-level data science solutions in an MLOps environment
- 3+ years of experience managing stakeholders with minimal oversight, maintain relationships, presenting to senior executives, and communicating high-level technical concepts in clear, colloquial, action-oriented language
- 2+ years of experience mentoring/ coaching junior peers and teammates
Other - Master's or PhD in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related discipline is preferred
- Experience in consumer products, CPG, or Commercial environments 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 Purina, 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.
Salary: $162,386.33 to $225,689.80 per year
Bonus Eligibility: Yes
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 knowledge, skills and abilities as well as geographic location. It is not typical for an individual to be hired at top of range.
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 https://www.nestlejobs.com/nestle-in-the-us-benefits
