Interested in this Research Scientist role at The Hershey Company?
Apply Now →About This Role
Why Hershey:
At The Hershey Company, our culture is rooted in purpose and inspired by Milton Hershey’s enduring vision that business should create opportunity for others. Through our commitment to corporate philanthropy, we create positive impact by supporting communities, helping children thrive, and operating as a business for good. This includes our deep and long standing partnership with Milton Hershey School, where we invest in education, workforce readiness, and hands on engagement to help students succeed beyond the classroom. Supported by strategic grantmaking, product donations, cross brand collaboration, and strong employee volunteerism, Hershey offers a place to work where making a difference—locally and globally—is part of how we do business every day.
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Job Overview
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Design innovative products for beloved brands including Jolly Rancher, Twizzlers, Sour Strips, Ice Breakers, and Bubble Yum!
Reporting to the Senior Manager, Sweets \& Refreshment, this role is part of The Hershey Company’s Product Development R\&D team at the Technical Center in Hershey, PA. The Senior Research Scientist will lead product and process development across hard candy, gummies, licorice, gum, and mints. This role translates consumer insights and business needs into scalable products through formulation, prototyping, pilot plant trials, manufacturing scale\-up, and commercialization. The successful candidate will bring strong technical expertise, project leadership, and cross\-functional collaboration to drive innovation, product improvement, supply continuity, and future technical capabilities across the Sweets \& Refreshment portfolio.
Specific Role Focus Area
- Lead product development projects across hard candy, gummies, licorice, gum, mints, chewy confections, and sugar\-free/polyol systems.
- Develop formulations and prototypes from bench through pilot plant and full\-scale manufacturing.
- Partner with Marketing, Consumer Insights, Sensory, Quality, Regulatory, Engineering, Manufacturing, Procurement, Supply Chain, Project Management, Commercialization, Technology Development, and external suppliers/co\-manufacturers.
- Support innovation, renovation, capacity expansion, cost savings, supply continuity, and transformation initiatives.
- Design and execute experiments, manufacturing trials, and technical evaluations; analyze results and provide recommendations.
- Build expertise in confectionery and refreshment technologies while mentoring peers and sharing knowledge.
- Foster a collaborative, fast\-paced R\&D culture focused on technical rigor, problem solving, and consumer\-first innovation.
Approximately 25% travel required, including domestic and international travel for plant trials, supplier/co\-manufacturer engagement, technical learning, and commercialization support.
Accountabilities
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- Experience leading innovation, renovation, quality improvement, cost improvement, technology validation, supply continuity, or process optimization initiatives.
- Strong foundation in food science, chemistry, ingredient functionality, formulation development, and/or process development; experience in confectionery is preferred.
- Ability to develop hypotheses, design experiments, execute trials, analyze data, troubleshoot results, and translate learning into clear technical recommendations.
- Experience working in lab, pilot plant, and/or manufacturing environments, including scale\-up, commissioning, start\-up, commercialization, or plant trial support.
- Ability to collaborate across Sensory, Consumer Insights, Marketing, Engineering, Packaging, Quality, Regulatory, Manufacturing, Procurement, and Supply Chain to deliver aligned project outcomes.
- Demonstrated project leadership, prioritization, decision\-making, financial awareness, and business integration skills in a fast\-paced environment.
- Strong influencing skills with the ability to communicate technical information clearly to technical and non\-technical audiences, including senior leaders.
- Excellent written and verbal communication skills, including technical reports, trial summaries, presentations, and recommended next steps.
- Comfortable with ambiguity, changing priorities, hands\-on experimentation, and practical problem solving in a growth\-oriented business.
- Ability to work independently and as part of a collaborative team while building and sharing technical knowledge across the organization.
Key partners include:
- Marketing \& Consumer Insights
- Sensory, Quality \& Regulatory
- Manufacturing, Engineering \& Alliances
- Procurement, Packaging \& Supply Chain
- Project Management \& Commercialization
- Technology Development \& External Suppliers/Co\-manufacturers
Minimum Education \& Requirements
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Bachelor’s degree in Food Science, Chemistry, Chemical Engineering, Biology, or a related technical field with 4–6 years of relevant experience; Master’s degree with 2–4 years of relevant experience; or PhD with 0–2 years of relevant experience.
Experience in food, beverage, confectionery, ingredient, consumer packaged goods, or related product development environments is preferred.
The Hershey Company is an Equal Opportunity Employer. The policy of The Hershey Company is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's race, color, gender, age, national origin, religion, citizenship status, marital status, sexual orientation, gender identity, transgender status, physical or mental disability, protected veteran status, genetic information, pregnancy, or any other categories protected by applicable federal, state or local laws.
The Hershey Company is an Equal Opportunity Employer \- Minority/Female/Disabled/Protected Veterans.
You may request a reasonable accommodation if you are unable or limited in your ability to use or access our online application process as a result of a disability.
You can request an accommodation via phone or email.
To request an accommodation via phone, please call \+1 877\-804\-1794 and leave a voicemail with your contact information. You may also email a request for accommodation to [email protected]. Please be sure to include “Accommodation Needed” in the subject line. This will ensure that your email is routed to the appropriate contact who will handle your request.
Role Details
About This Role
Research Scientists push the boundaries of what AI can do. They design experiments, develop novel architectures, publish papers, and translate research breakthroughs into production capabilities. This is where the fundamental advances happen, from attention mechanisms to diffusion models to reasoning chains.
The work is intellectually demanding and often ambiguous. You might spend months on an approach that doesn't pan out. The best research scientists combine deep mathematical intuition with engineering pragmatism. They know when to go deep on theory and when to run experiments. They read papers voraciously and can spot incremental contributions from genuine breakthroughs.
Across the 3,708 AI roles we're tracking, Research Scientist positions make up 3% of the market. At The Hershey Company, this role fits into their broader AI and engineering organization.
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
What the Work Looks Like
A typical week includes: reading and discussing recent papers with your team, designing and running experiments on multi-GPU clusters, analyzing results and iterating on hypotheses, writing up findings for internal review or publication, and collaborating with engineering teams to productionize promising results. The ratio of thinking to coding is higher than in engineering roles.
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
Skills in Demand for This Role
PhD strongly preferred for most roles. Deep expertise in a specific area (NLP, computer vision, reinforcement learning, multimodal) is expected. PyTorch is the standard. Publication track record matters. Strong mathematical foundations in linear algebra, probability, optimization, and information theory are assumed.
Beyond the fundamentals, companies value experience with large-scale distributed training, novel architecture design, and the ability to bridge theory and practice. Understanding of current frontier topics (reasoning, multimodal, long-context, alignment) is essential. Code quality matters more than many researchers expect. Labs want researchers who can implement their ideas cleanly.
Strong research postings specify the research area, mention the team you'd join, and describe the problems they're working on. They often list recent publications from the team. Vague 'AI research' postings without specifics usually mean the company wants to sound impressive but doesn't have a real research agenda.
Compensation Benchmarks
Research Scientist roles pay a median of $222,200 based on 197 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $230,000.
Across all AI roles, the market median is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. For comparison, the highest-paying categories include AI Safety ($300,000) and Research Engineer ($280,000). By seniority level: Entry: $120,000; Mid: $200,000; Senior: $230,000; Director: $272,150; VP: $250,000.
The Hershey Company AI Hiring
The Hershey Company has 1 open AI role right now. They're hiring across Research Scientist. Based in Hershey, PA, US.
Location Context
Across all AI roles, 14% (508 positions) offer remote work, while 3,180 require on-site attendance. Top AI hiring metros: New York (1,045 roles, $220,000 median); San Francisco (810 roles, $277,088 median); Los Angeles (397 roles, $215,000 median).
Career Path
Common paths into Research Scientist roles include PhD Student, Research Engineer, Postdoc.
From here, career progression typically leads toward Research Lead, Distinguished Scientist, VP of Research.
The PhD is the entry point for most paths. Choose your advisor and research area carefully since they'll define your first industry position. Publish consistently, contribute to open-source projects in your area, and build relationships at conferences. Industry research offers better compensation and compute resources than academia, but the pressure to show product impact is real.
What to Expect in Interviews
Research interviews are multi-stage: a research talk (present your best paper), technical deep-dives on your methodology, and often a 'research proposal' exercise where you design an experiment to test a hypothesis. Coding rounds test implementation ability alongside theoretical knowledge. Be prepared to implement a paper from scratch and discuss the design choices the authors made. Strong candidates can critique papers constructively and identify gaps in experimental methodology.
When evaluating opportunities: Strong research postings specify the research area, mention the team you'd join, and describe the problems they're working on. They often list recent publications from the team. Vague 'AI research' postings without specifics usually mean the company wants to sound impressive but doesn't have a real research agenda.
AI Hiring Overview
The AI job market has 3,708 open positions tracked in our dataset. By seniority: 102 entry-level, 1,705 mid-level, 1,469 senior, and 432 leadership roles (Director, VP, C-Level). Remote roles make up 14% of the market (508 positions). The remaining 3,180 roles require on-site or hybrid attendance.
The market median for AI roles is $217,500. Top-quartile compensation starts at $272,100. The 90th percentile reaches $325,000. Highest-paying categories: AI Safety ($300,000 median, 21 roles); Research Engineer ($280,000 median, 147 roles); AI Architect ($254,798 median, 67 roles).
Research Scientist roles are concentrated at major AI labs (OpenAI, Anthropic, Google DeepMind, Meta FAIR) and well-funded AI startups. The competition is intense. PhD is effectively required for most positions, and publication track record matters. Compensation is among the highest in AI, reflecting both the scarcity of talent and the strategic importance of research breakthroughs.
The AI Job Market Today
The AI job market spans 3,708 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (2,605), Data Scientist (310), AI Software Engineer (259). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (102) are outnumbered by mid-level (1,705) and senior (1,469) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 432 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 14% of all AI roles (508 positions), with 3,180 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $217,500. Top-quartile roles start at $272,100, and the 90th percentile reaches $325,000. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $300,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,890 postings), Aws (1,103 postings), Azure (877 postings), Rag (855 postings), Gcp (631 postings), Prompt Engineering (560 postings), Pytorch (545 postings), Claude (498 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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