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Expert Data Scientist

Pay
$162,386.33–225,689.8/year — pay source
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
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Work authorization
Must already have the right to workThis position is not eligible for Visa Sponsorship

What you’ll work on

Full posting

Join Nestlé IT & Digital as an Expert Data Scientist supporting Nestlé USA (NUSA).

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.

  • 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.

From the employer’s posting
Join 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.
Position Summary Join 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.

What you’ll bring

All qualifications

Core experience

  • 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

Preferred experience

  • 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
Qualification wording
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
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
Education & alternatives
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
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
Apply at nestleHRprdRMK

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Where the posting names them
- 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

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,139.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

As the digital arm for the world's largest food and beverage company, Nestlé IT & Digital Americas harnesses the power of data, analytics, and innovative technology to deliver transformative solutions and business resiliency for Nestlé businesses and iconic brands from Purina® to Nescafé®. We’re innovators, strategic collaborators, value multipliers, and digital business leaders committed to delivering results that create meaningful experiences and drive value, enabling Nestlé to win in the marketplace. By joining, you become part of a 150-year legacy and a global team of 270,000+. We invest in our people—their growth, development, and sense of belonging. This shared unity and purpose is what motivates individuals to join, stay, and advance their careers within Nestlé.

 

This position is not eligible for Visa Sponsorship.

Position Summary

 

Join 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 

 

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.

 

Job Requisition: 424829 

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Pay
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
Location & working pattern

Arlington, VA, US, 22209

Working pattern and location restrictions need checking in the full posting.

Work authorization
As the digital arm for the world's largest food and beverage company, Nestlé IT & Digital Americas harnesses the power of data, analytics, and innovative technology to deliver transformative solutions and business resiliency for Nestlé businesses and iconic brands from Purina® to Nescafé®. We’re innovators, strategic collaborators, value multipliers, and digital business leaders committed to delivering results that create meaningful experiences and drive value, enabling Nestlé to win in the marketplace. By joining, you become part of a 150-year legacy and a global team of 270,000+. We invest in our people—their growth, development, and sense of belonging. This shared unity and purpose is what motivates individuals to join, stay, and advance their careers within Nestlé. This position is not eligible for Visa Sponsorship. Position Summary
More source context
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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