Senior Data Scientist

Full time

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Employment Information

Job levelSenior level

IndustryFood and Beverage Services

Experience3+ years

LocationArlington, VA, United States

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Foods people love. Brands people trust. And a career that nourishes your future like no other.

If you’re driven by the passion to do something meaningful that changes lives, Nestlé is the place for you. Nestlé USA is one of seven operating companies that make up Nestlé’s presence in the United States. We’re in 97% of American homes, and as the leading food and beverage company, our goals are to continue to deliver quality food and beverage products, strengthen our local communities, and reduce our environmental and climate impact.

We’re determined to challenge the status quo and be better tomorrow than we are today. As individuals and teams, we embrace our entrepreneurial culture and have created a workplace where collaboration is essential, courage is rewarded, speed is expected, and agility is the norm to delight our consumers every single day. Here, you will find limitless opportunities to learn and advance your career and feel empowered to succeed in the workplace and beyond. Because our focus is not only on nourishing our customers, but also about enriching you.

This position is not eligible for Visa Sponsorship.

Senior Data Scientist - Enterprise Analytics (EA), supporting our Strategic Revenue Management (SRM) team across the streams of Pricing, Mix and Assortment, Price Pack Architecture, and Trade Promotion Optimization. As a member of the EA-SRM team, the associate will serve as an advanced analytics expert in building, enhancing, and sustaining sophisticated and interconnected mathematical models and end-user applications that drive strategic decision making across the commercial organization.

Assist in the development, evaluation, and deployment of innovative data science solutions in support of our commercial decision making
Introduce Machine Learning methodologies across a wide breadth of strategic business use cases
Acquire deep understanding of business problems and translate them into appropriate mathematical depictions
Act as an internal consultant by integrating with departmental customers to identify opportunities, scope and define the business problems, and assisting in the deployment of self-service tools and applications
Interpret results, draw insightful conclusions, and present findings and recommendations to the appropriate stakeholder groups
Engage in constructive collaboration with a broad range of team members from diverse functional backgrounds, by communicating complex ideas in palatable and understandable terms

Primary Responsibilities:

Modeling

Research, design, estimation, and testing of a wide range of Econometric, Machine Learning, and mathematical models (Price Elasticities and Sensitivity model estimations, Revealed preference Conjoint Analysis, Classification & Regression Techniques, Principal Components Analysis, Volume Transferability model estimations, Choice Probability models, Optimization calculus, etc.)
Adept management of the modeling and algorithm development process and cycles of design, estimation, evaluation, updating, and solution defense Tailor solutions, leverage code and architectural platform efficiencies, and work seamlessly across the cloud computing technical stack in both dev and prod environments

Project Management

Manage special projects, pilots, Proof of Concepts/Value (POC/POV), and ad-hoc projects, ensuring on-time delivery according to a master project plan
Conduct proper stakeholder management to ensure all parties are aligned and updated throughout the project life cycle

Integration

Act as a consultant in the capacity of publishing, educating, and securing acceptance of complex mathematical concepts and models from various stakeholders Develop professional presentations and project status reporting appropriate for their intended audience

Qualifications:

Requirements and Minimum Education Level
Undergraduate Degree in Computer Science, Engineering, Mathematics, Statistics, Business, or a similar field; Master’s degree preferred
3+ years of experience using various programming languages (R, Python, Spark, SQL)

Necessary Skills & Qualifications

Intermediate-advanced in one or more programming language (Python, PySpark, R)
Experience with machine learning methodologies and algorithms (Regression, Bayesian statistics, Clustering, Classification, Probability Networks, etc.) in a Consumer Packaged Goods industry or context preferred
Experience with various statistical methodologies and mathematics (Generalized Additive Models (GAM), Hierarchical Linear Mixed Effects (HLM) Regression, Generalized Linear Models (GLM), Classification and Regression ensembling, Latent Analysis and Structural Equation Modeling (SEM), and unsupervised clustering segmentation models)
Strong business acumen (understanding of how business operates, and how to harness data and analytics to meet business needs)
Ability to develop and deploy advanced analytical models and algorithms that drive profitable growth at NUSA
Experience modeling and productionalizing models in notebook environments (Microsoft Azure preferred)
Experience visualizing/presenting data for partners using Microsoft PowerBI
Passion for solving complex data problems and generating cross-functional solutions in a fast-paced environment
Proven examples of developing, selling, and sharing modeling concepts across team members to drive adoption and implementation beyond personal use
Experience in a mentorship type role, focused on driving contribution beyond own models and projects
Excellent facilitation and presentation skills, including training delivery
Excellent oral and written communication skills, organizational and time-management abilities
High initiative, self-starter, and able to work with limited supervision

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.