Pay
In line with similar jobs
$156K–$195K against $154K–$225K, the middle half of what similar US postings state.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Manager Data Science
Dallas, TX, US
Live, first seen by us 44 days ago- Pay
$155,840–194,800/year · Base — pay source
Benefits may vary based on role, location, and eligibility. The anticipated base salary range for this role is $155,840.00 to $194,800.00 per year. The actual base salary offered will depend on a variety of job‑related factors, including, but not limited to, experience, skill set, education, and training. In addition to a market-competitive base salary, our Total Rewards package includes performance‑based incentives and a comprehensive, competitive benefits package designed to support overall physical, mental, and financial well‑being (as applicable). Learn more about Hershey’s benefits and all the resources Hershey provides to support our employees’ physical, emotional, and financial well‑being by visiting the Hershey Digital Employee Experience at www.askHRbenefits.hersheys.com 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.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingLead, coach, develop, and retain a high-performing data science team
Set scientific direction and team priorities aligned with business goals
Partner with cross-functional stakeholders to deliver data science solutions
Review technical approaches and promote model quality and scientific rigor
Communicate insights, risks, and business impact to senior leadership
From the employer’s posting
Lead, coach, develop, and retain a high-performing team of data scientists.
Set scientific direction and team priorities aligned with business objectives.
Partner with cross-functional stakeholders to identify and deliver high-impact data science solutions.
Review technical approaches, provide guidance on solution design, and promote scientific rigor and model quality.
Communicate insights, recommendations, risks, and business impact to senior leadership.
What you’ll bring
All qualificationsCore experience
- 5+ years of experience applying data science, machine learning, optimization, statistics, or related quantitative disciplines to solve business problems.
- Master's degree in Operations Research, Statistics, Machine Learning, Applied Mathematics, Computer Science, Operations Management, or a related quantitative field.
- 2+ years of people leadership experience, including coaching, developing, or managing technical professionals.
- Strong understanding of machine learning, optimization, experimentation, statistical modeling, and advanced analytics.
- Experience communicating technical concepts and business insights to both technical and non-technical stakeholders.
Preferred experience
- Experience translating business strategy into data science roadmaps and scientific workstreams.
- Knowledge of cloud platforms such as Azure, AWS, or GCP.
- Hands-on experience with Python, SQL, Pandas, PySpark, Scikit-learn, TensorFlow, Keras, or similar technologies.
- Experience with optimization modeling and commercial solvers such as Gurobi or Xpress.
Qualification wording
5+ years of experience applying data science, machine learning, optimization, statistics, or related quantitative disciplines to solve business problems.
Master's degree in Operations Research, Statistics, Machine Learning, Applied Mathematics, Computer Science, Operations Management, or a related quantitative field.
2+ years of people leadership experience, including coaching, developing, or managing technical professionals.
Strong understanding of machine learning, optimization, experimentation, statistical modeling, and advanced analytics.
Experience communicating technical concepts and business insights to both technical and non-technical stakeholders.
Experience translating business strategy into data science roadmaps and scientific workstreams.
Knowledge of cloud platforms such as Azure, AWS, or GCP.
Hands-on experience with Python, SQL, Pandas, PySpark, Scikit-learn, TensorFlow, Keras, or similar technologies.
Experience with optimization modeling and commercial solvers such as Gurobi or Xpress.
Education & alternatives
Education: - Master's degree in Operations Research, Statistics, Machine Learning, Applied Mathematics, Computer Science, Operations Management, or a related quantitative field. Preferred Qualifications:
Preferred Qualifications: - PhD in Operations Research, Statistics, Machine Learning, Economics, Computer Science, Applied Mathematics, or a related quantitative field. - Experience translating business strategy into data science roadmaps and scientific workstreams.
Benefits in the posting
Full benefits wording- Health & Wellbeing: Medical, dental, and vision coverage, plus wellness programs that support your physical and mental health.
- Financial Security: Competitive pay, annual incentive opportunities, and a 401(k) with company match.
- Time Off & Flexibility: Paid time off, company holidays, and flexible ways of working where applicable.
- Benefits may vary based on role, location, and eligibility.
From the employer’s posting.
About The Hershey Company
The Hershey Company (NYSE: HSY) is an industry-leading snacks company known for making more moments of goodness through its iconic brands.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 21, 202644 days ago
- Recorded sightings
- 245
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 44
Similar jobs usually come down between day 7 and day 54.
At The Hershey Company, jobs usually come down by about day 26.
From 7,965 similar postings that came down, and 30 of The Hershey Company’s. Coming down is not always a hire.
The Hershey Company is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Azure
- GCP
- Keras
- pandas
- PySpark
- scikit-learn
- TensorFlow
Where the posting names them
- Knowledge of cloud platforms such as Azure, AWS, or GCP. - Hands-on experience with Python, SQL, Pandas, PySpark, Scikit-learn, TensorFlow, Keras, or similar technologies. - Experience with optimization modeling and commercial solvers such as Gurobi or Xpress.
- Experience translating business strategy into data science roadmaps and scientific workstreams. - Knowledge of cloud platforms such as Azure, AWS, or GCP. - Hands-on experience with Python, SQL, Pandas, PySpark, Scikit-learn, TensorFlow, Keras, or similar technologies.
Your next step
Complete your application on careers.thehersheycompany.com. The employer’s form will show what is required.
Applying through SAP SuccessFactors
- Images (.jpg) aren’t accepted as a resume.
Already applied? Track this application
About The Hershey Company
- People
- About 20,098 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as HSY.
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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 Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
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.
About The Hershey Company
The Hershey Company (NYSE: HSY) is an industry-leading snacks company known for making more moments of goodness through its iconic brands. With a strong portfolio across chocolate, confectionery, and salty snacks, Hershey delights consumers every day. Our beloved brands include Hershey’s, Reese’s, KitKat®, Dots Pretzels, Lesser Evil, Jolly Rancher, Twizzlers, Ice Breakers, and more.
At Hershey, we are committed to making a meaningful difference in the communities where we live, work, and do business. This commitment originated with our founder, Milton Hershey, and continues to shape who we are today.
Guided by our employee value proposition, Lead Today. Create Tomorrow, we empower our people to drive impact now while shaping what comes next. Our One Hershey mindset brings teams together across functions, geographies, and businesses, enabling us to operate with speed, collaboration, and shared purpose.
The Hershey Company is proud to be recognized as a top employer in the United States, reflecting our commitment to our people, culture, and purpose.
How will you fit in the big picture?
As a Data Science Manager, you will lead a team of data scientists focused on solving complex business challenges through machine learning, optimization, forecasting, experimentation, and advanced analytics. You will partner with engineering, product, and business leaders to identify opportunities where data science can create meaningful business value and help shape the future of snacking.
This role combines scientific leadership with people leadership. You will hire, develop, and coach top talent while creating an environment that fosters innovation, collaboration, operational excellence, and customer-focused problem solving. Success requires strong business acumen, sound scientific judgment, stakeholder management skills, and the ability to drive results in a dynamic environment.
What will you do?
- Lead, coach, develop, and retain a high-performing team of data scientists.
- Set scientific direction and team priorities aligned with business objectives.
- Partner with cross-functional stakeholders to identify and deliver high-impact data science solutions.
- Drive execution of complex initiatives across machine learning, optimization, forecasting, decision science, and advanced analytics.
- Review technical approaches, provide guidance on solution design, and promote scientific rigor and model quality.
- Establish scalable processes and mechanisms that improve team effectiveness and delivery predictability.
- Communicate insights, recommendations, risks, and business impact to senior leadership.
- Foster a culture of innovation, continuous learning, and data-driven decision making.
Minimum Education & Requirements
Experience:
- 5+ years of experience applying data science, machine learning, optimization, statistics, or related quantitative disciplines to solve business problems.
- 2+ years of people leadership experience, including coaching, developing, or managing technical professionals.
- Demonstrated success leading teams and delivering complex data science initiatives in cross-functional environments.
- Strong understanding of machine learning, optimization, experimentation, statistical modeling, and advanced analytics.
- Experience communicating technical concepts and business insights to both technical and non-technical stakeholders.
Education:
- Master's degree in Operations Research, Statistics, Machine Learning, Applied Mathematics, Computer Science, Operations Management, or a related quantitative field.
Preferred Qualifications:
- PhD in Operations Research, Statistics, Machine Learning, Economics, Computer Science, Applied Mathematics, or a related quantitative field.
- Experience translating business strategy into data science roadmaps and scientific workstreams.
- Knowledge of cloud platforms such as Azure, AWS, or GCP.
- Hands-on experience with Python, SQL, Pandas, PySpark, Scikit-learn, TensorFlow, Keras, or similar technologies.
- Experience with optimization modeling and commercial solvers such as Gurobi or Xpress.
- Demonstrated ability to influence senior leaders and drive organizational change through data and technology.
Benefits and Perks
At Hershey, we offer competitive pay and a comprehensive total rewards package designed to support your wellbeing, financial security, and life outside of work.
- Health & Wellbeing: Medical, dental, and vision coverage, plus wellness programs that support your physical and mental health.
- Financial Security: Competitive pay, annual incentive opportunities, and a 401(k) with company match.
- Time Off & Flexibility: Paid time off, company holidays, and flexible ways of working where applicable.
- Growth & Development: Career development programs, learning opportunities, and internal mobility.
Benefits may vary based on role, location, and eligibility.
The anticipated base salary range for this role is $155,840.00 to $194,800.00 per year. The actual base salary offered will depend on a variety of job‑related factors, including, but not limited to, experience, skill set, education, and training. In addition to a market-competitive base salary, our Total Rewards package includes performance‑based incentives and a comprehensive, competitive benefits package designed to support overall physical, mental, and financial well‑being (as applicable). Learn more about Hershey’s benefits and all the resources Hershey provides to support our employees’ physical, emotional, and financial well‑being by visiting the Hershey Digital Employee Experience at www.askHRbenefits.hersheys.com
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 ApplicationHelp@hersheys.com. 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.
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Dallas, TX, US
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