Products. Nestlé currently has over 2,000 brands with a wide range of products across a number of markets, including coffee, bottled water, milkshakes and other beverages, breakfast cereals, infant foods, performance and healthcare nutrition, seasonings, soups and sauces, frozen and refrigerated foods, and pet food.

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Lead Data Scientist (Hybrid)

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.

Position Summary

As a “Business Scientist” (Business Acumen + Data Scientist), the Enterprise Analytics (EA) Lead Data Scientist will serve as the advanced analytics expert across EA initiatives currently in flight or being planned at NUSA, building, enhancing and applying sophisticated, interconnected and predictive algorithms to drive profitable growth across the enterprise. The overall objective is to enable diagnostic evaluation, predictive planning, and prescriptive decision making in everyday problem solving across the Ensure Supply Functions (Procurement, Manufacturing, and Logistics), with a primary focus in Manufacturing.

Lead model development, evaluation, and deployment to support operational decision making across Ensure Supply, focusing mostly in Manufacturing.
Introduce Machine Learning methodologies across a wide breadth of 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, performing data analysis, and generate self-service solutions to address needs.
Interpret the results, draw conclusions, and present findings / recommendations to appropriate groups to help identify actionable steps to be taken by cross-functional and leadership teams.
Mentor more junior staff, guide predictive model development across team, define how customers use the models, and train users on integration.

Primary Responsibilities – What You’ll Do

Test and implement the advanced analytics methods to derive insights that drive business growth.
Drive the execution of AI solutions to address business needs.
Drive EA priorities through rapid piloting and scaling of next gen technologies.
Incorporate the latest data science thinking into NUSA’s solutions and models.
Collect, cleanse, and understand complex data sources to enable proper analytical modeling.
Research, design, develop, test, and implement data science methodologies across a wide range of business applications.
Define and develop programming for self-service decision support solutions that leverage predictive, prescriptive, and scenario optimization tactics.
Manage Special Projects, Pilots, Proof of Concepts, and Ad-hoc project work leading the charge from idea to delivered data science capability.
Participate in the evaluation, intake, design, and integration strategy between multiple commercial functions (sales, marketing, etc.) and data sources for varying Nestlé businesses.
Conduct proper stakeholder management to ensure all parties are aligned and updated throughout project life cycle.
Design and build advanced visualization tools that will simplify the outputs of the models, with the goal of being integrated into a self-service operational model across the business stakeholders.
Develop professional presentations and project status reporting appropriate for their intended audience.
Coach analysts and junior data scientists in addressing modeling issues identified by the business stakeholders. Provide analytics knowledge and support to the commercial business network.
Develop reusable assets that can be leveraged across the data science team.
A few potential analytics areas you will be involved in are listed below.
Recommendation Engines (e.g. Production Process optimization, Inventory Management, Equipment Maintenance)
Predictive Scenario Planning (e.g. Future business performance, drivers and scenarios)
Loss of Sterility of liquid processing governed by FDA Pasteurized Milk Ordinance.
Factory Loss Analysis (material loss, unplanned stops, maintenance, etc.).
Factory Digital Twins.

Requirements and Minimum Education Level

Undergraduate Degree in Computer Science, Engineering, Mathematics, Statistics, Business or a similar field. Master’s degree preferred but additional, relevant work experience would be considered in lieu of a Master’s Degree.
5+ years of experience using various programming languages (R, Python etc.) to develop and apply machine learning methods and algorithms to address business priorities, with focus on consumer products preferred.

Necessary Skills & Qualifications

Business acumen (strong understanding of how business operates, and how to harness data and analytics to meet business needs).
Experience in manufacturing operations, processes, data and systems.
Ability to develop and deploy advanced analytical models and algorithms that drive profitable growth at NUSA.
Strong working knowledge of a variety of machine learning techniques (Regression, Clustering, Decision Tree, Neural Networks, Bayesian etc.).
Experience developing analytics solutions in python, with hands on experience leveraging python’s data manipulation, analysis, and visualization libraries.
Proficiency in scripting in python, including the ability to write efficient code to automate tasks, manipulate data, and perform various operations using python libraries and frameworks.
Strong understanding of object-oriented programming (OOP) in python and how to effectively implement classes, objects, and inheritance hierarchies to create modular and reusable code.
Experience visualizing/presenting data for partners using PowerBI, Tableau, or Streamlit.
Familiarity of MLOps best practices for deploying, monitoring, and maintaining solutions in production.
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 and software development best practices across team members to drive adoption.
Experience in a mentorship type role, focused on driving contribution beyond own models and projects.
Good 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.

Requisition ID: 327738

#Li-Hybrid

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 an equal employment opportunity and affirmative action employer seeking diversity in qualified applicants for employment. All applicants will receive consideration for employment without regard to race, ethnicity, color, gender, gender identity, age, religion, national origin, ancestry, disability, perceived disability, medical condition, genetic information, veteran status, sexual orientation, or any other protected status, as defined 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.

Sanitation Technician II – 3rd Shift

Seeking a motivated Sanitation Technician II to join our team. Responsible for sanitizing and maintaining production equipment in a fast-paced environment.

WHAT’S IN IT FOR YOU:

3rd Shift: 10:00 PM – 6:30 AM, Sunday-Saturday 6 day work week.
Starting hourly pay of $19.86, plus shift differential.
Comprehensive Nestlé benefits after 30 days of employment.
Yearly reviews and raises.

WHAT YOU’LL ACCOMPLISH:

Maintains a positive working relationship with Sanitation Lead and fellow team members including timely communication of all operational and/or safety issues.
Start-up, operate, sanitize, and inspect production equipment.
Timely pre-flight of equipment including adjusting heights, timing, and positions of equipment.
Follows sanitation processes and procedures, HACCP, and safety protocols.
Assists supervisor and leads in the coordination of freezer allergen clean up.
Knowledge of chemicals, applications, titrations, related documentation, and safety protocols associated.
Completes proper Sanitation/CIP process documentation.
Communicates with Supervisors, Line Leads, and teammates on cleanliness and status of equipment.
Ensures that all Standard Operating Procedures (SOP’s) are followed and the highest standards for quality, safety, and compliance are promoted.
Follows all company policies & procedures as well as the Good Manufacturing Practices (GMP’s).

REQUIREMENTS:

3+ months of industrial sanitation experience, required.
Ability to work overtime, irregular hours, or rotating shifts, required.
High school diploma, or GED, preferred.

SKILLS:

Previous food manufacturing and/or Machine Operator experience.
Basic mechanical aptitude including the ability to use hand tools and lubricate equipment.
Knowledge of Lock Out Tag Out and Confined Space principles.
Ability to do basic math and use calculators.
Read and interpret documents such as safety rules, operating instructions, and manuals.
Speak, write, and understand English.

General Labor

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

This position is not eligible for Visa Sponsorship.

General Laborer – Full Time, All Shifts

Seeking a motivated General Laborer to join our team. Responsible for assisting in setup, production, cleanup, and packaging of product in various departments.

WHAT’S IN IT FOR YOU:

1st, 2nd and 3rd Shift: Monday – Saturday.

Starting hourly pay of $18, plus shift differential.

Comprehensive Nestlé benefits after 30 days of employment.

Yearly reviews and raises.

WHAT YOU’LL ACCOMPLISH:

Assists with the production, processing, and packaging of all products.

Cleans and sanitizes work areas, machines, tools, and equipment.

Prepares equipment for next shift and product runs including set ups, tear downs, and changeovers.

Communicates with Supervisors, Line Leads, and other Operators on quality and production of material.

Ensures that all Standard Operating Procedures (SOP’s) are followed and the highest standards for quality, safety, and compliance are promoted.

Follows all company policies & procedures as well as the Good Manufacturing Practices (GMP’s).

REQUIREMENTS:

Ability to work overtime, irregular hours, or rotating shifts, required.

Ability to work in a cold environment of 40-50 degrees F, required.

High School Diploma/GED, preferred.
3 months of manufacturing of Pizza and/ or Nestle experience preferred.

SKILLS:

Previous food manufacturing or warehouse experience helpful.

Ability to do heavy lifting in a fast-paced production environment.

Ability to do basic math and use calculators.

Read and interpret documents such as safety rules, operating instructions, and manuals.

Speak, write, and understand English; Bilingual (Spanish/English) help.

Electro – Mechanical Apprentice

Through a combination of coursework and on-the-job training, the apprentice will learn the skills of a full-time Electro-Mechanical Technician. A fully trained Electro-Mech technician is a multi-skilled employee with primary responsibilities of maintaining equipment in a proactive manner – troubleshooting and repairing both mechanical and electrical abnormalities on all production-related equipment. The apprentice will learn to perform all preventative maintenance as scheduled to eliminate unplanned stoppages, increase asset intensity, and build operator technical capabilities.

APPRENTICE DUTIES AND RESPONSIBILITIES UNDER THE DIRECTION OF PROPER SUPERVISION:

Basic Overview of Mechanical Responsibilities

Service and repair of production related equipment including extensive knowledge in the principles and practical application of pneumatics, hydraulics, chain/belt drives, bushings/bearings/idler systems, gearboxes, pumps, valves, fasteners, seals, gaskets, mechanical fabrication, and rigging, Capability to follow work standards and full adherence to all safety permitting and facility LOTO requirements while executing tasks.

Basic Overview of Electrical/Automation Responsibilities

Service and repair of production related electrical equipment including knowledge of power distribution and lighting systems, AC/DC motors and transformers, machine and line control devices, fluid control and distribution, electronic controls and instrumentation, variable frequency drives, and basic PLC knowledge/ interpretation capabilities. Ability to demonstrate safe practices and tools for while working with low voltage and medium voltage electrical systems and components.

Maintain and troubleshoot mechanical and electrical components of production related equipment including but not limited to:

Ingredient Handling & Preparation – sugar dissolving, bulk handling, dumping stations.
Chocolate making – Roasting, Pressing, Conching, Refining
Packaging Labelers, Case Packers, Palletizers, Conveyor systems and shunts, Storage systems, Product transport systems.
Preventive/Predictive Maintenance – Responsible for executing planned work schedule as assigned and creating follow up notifications/improvements in SAP system to ensure cost effective and reliable equipment performance.
Completion of all assigned work in a timely manner following standards and best practices.
Provide technical training to Operators as part of our NCE practices to ensure knowledge transfer and autonomy in equipment operations.
Creative problem-solving skills to perform equipment improvements and enhancements to optimize production with positive contribution to all key deliverables of safety, quality, and cost.
A strong commitment to continuous improvement and competency development.
Participate in problem solving utilizing tools such as BDA and GSTD.
Actively participate in NCE and Improvement teams.
Lead continuous update of Maintenance procedures, and PM Optimization efforts.
Review required spare parts to keep maximize technical warehouse service factor.

REQUIREMENTS AND MINIMUM EDUCATION LEVEL:

Understands and will adhere to all apprenticeship policies outline in Nestle’s Standards of Apprenticeship and Appendix A.
High school Diploma or GED

REQUIRED SKILLS:

Demonstrate necessary skills competency in both mechanical and electrical
Ability and willingness to operate and support a positive Nestle culture and follow established values
Ability to integrate into all parts of the operation to support the facility in achieving our goals & objectives
Proactive individual that takes responsibility for their equipment, line, coworkers and the continuous improvement of the operation
Able to work in a team environment where honest communication, a positive attitude, engagement, and personal accountability is expected
Detail oriented individual who accurately records information
Able to work off-shifts, weekends & extended shifts (i.e. 10 hrs., 12 hrs.)
Able to work with computers (navigating systems, recording information, using to find information to perform the job
Has positive conflict management skills
Ability to work independently and with minimal supervision
Accountable for personal development & improvement
Ability to work in a fast-paced environment & handle multiple tasks
May require internal & external certification
Ability to be self-managed, scheduling and performing work unsupervised.
Reliable, motivated, dedicated, and committed to a team environment.
Ability to analyze data and make decisions/recommendations based on analysis.
Must demonstrate a continuous improvement mindset.
Good communication skills with operators, other trades, and all plant personnel.
Demonstrated willingness and aptitude to:
- Understand how automated equipment and its components work.
- Remain proficient with the operation, troubleshooting, and maintenance of industrial electrical control systems, electromechanical systems, instrumentation, and fluid power.
- Properly use mechanical and electrical tools and diagnostic instruments.
- Understand the operating principles and function of the electrical control and power components and circuits utilized in automated equipment.
- Operate, troubleshoot, and diagnose industrial circuits used in control and distribution.
- Basic PLC skills and ability to learn and interpret ladder logic.
- Familiar with CMMS and Production Work Flow/Control systems.