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Data Scientist Jobs in Reno, NV (NOW HIRING)

Data Scientist information

See Reno, NV salary details

$37.4K

$122.4K

$195.9K

How much do data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data scientist in Reno, NV is $122,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $135,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

What are the most commonly searched types of Data Scientist jobs in Reno, NV?

The most popular types of Data Scientist jobs in Reno, NV are:

What are popular job titles related to Data Scientist jobs in Reno, NV?

For Data Scientist jobs in Reno, NV, the most frequently searched job titles are:

What job categories do people searching Data Scientist jobs in Reno, NV look for?

The top searched job categories for Data Scientist jobs in Reno, NV are:

What cities near Reno, NV are hiring for Data Scientist jobs?

Cities near Reno, NV with the most Data Scientist job openings:

Infographic showing various Data Scientist job openings in Reno, NV as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,379 per year, or $58.8 per hour.

Data Scientist, Operations Research

Carson City, NV • On-site

Cardinal Health
Medical Equipment and Supplies Manufacturing • 10K+ employees

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Cardinal Health rating

7.7

Company rating: 7.7 out of 10

Based on 341 frontline employees who took The Breakroom Quiz


Job description

US-Nationwide-FIELD

Full time

20186864

What Data Science contributes to Cardinal Health

The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.

Department/Team Overview

We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain’s performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas:

  • Distribution center network design and capacity planning

  • Facility layout and design; warehouse capacity and utilization

  • Warehouse process improvement

  • Labor management and automation

  • Inventory management: stocking strategies and replenishment policies

  • Transportation planning: first mile, middle mile, and final mile

  • Sales and operations planning (resource management in response to demand changes)

Responsibilities

As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to:

  • Listen to clients and ask questions to clearly define business problems.

  • Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses.

  • Develop predictive models to forecast future volumes that will drive capacity/resource needs.

  • Develop customer and product segmentation models and design our supply chain to support differentiated services.

  • Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance.

  • Develop prescriptive models using 3rd party optimization/simulation software and custom-build models.

  • Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered.

  • Work with Data Engineers to create data models for analyses.

Qualifications

  • 2-4 years of experience, preferred

  • Bachelor's degree in a quantitative field, or equivalent work experience, preferred

  • MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred

  • Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred

  • Experience with Structured Query Language (SQL) and working with databases preferred

  • Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred

  • Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred

  • Ability to work as part of a team as the key analytical resource

  • Excellent communication skills with an ability to explain quantitative analysis in simple business terms

  • Intellectual curiosity, humility, genuine respect and desire to help others

  • Bias for action and passion for driving change

  • Ability to travel up to 5%

What is expected of you and others at this level

  • Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects

  • May contribute to the development of policies and procedures

  • Works on complex projects of large scope

  • Develops technical solutions to a wide range of difficult problems

  • Solutions are innovative and consistent with organization objectives

  • Completes work; independently receives general guidance on new projects

  • Work reviewed for purpose of meeting objectives

  • May act as a mentor to less experienced colleagues

Anticipated salary range: $94,900 - $122,000

Bonus eligible: No

Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.

  • Medical, dental and vision coverage

  • Paid time off plan

  • Health savings account (HSA)

  • 401k savings plan

  • Access to wages before pay day with myFlexPay

  • Flexible spending accounts (FSAs)

  • Short- and long-term disability coverage

  • Work-Life resources

  • Paid parental leave

  • Healthy lifestyle programs

Application window anticipated to close: 11/2/2026

The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity.

Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.

To read and review this privacy notice click here (https://www.cardinalhealth.com/content/dam/corp/email/documents/corp/cardinal-health-online-application-privacy-policy.pdf)

Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a distributor of pharmaceuticals, a global manufacturer and distributor of medical and laboratory products, and a provider of performance and data solutions for healthcare facilities.

We are a crucial link between the clinical and operational sides of healthcare, delivering end‑to‑end solutions and data‑driving insights that advance healthcare and improve lives every day. With deep partnerships, diverse perspectives and innovative digital solutions, we build connections across the continuum of care.

With more than 50 years of experience, we seize the opportunity to address healthcare's most complicated challenges — now, and in the future.

View Cardinal Health on YouTube (http://youtube.com/user/CardinalHealth)

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About Cardinal Health

Sourced by ZipRecruiter

Cardinal Health Innovative Delivery Solutions With over 45 years of experience in helping hundreds of hospital and outpatient pharmacies, we provide access to best practice strategies and tactics to control costs, improve workflow and enhance safety. Cardinal Health Innovative Delivery Solutions is one of the largest employers of acute-care pharmacist in the United States. Cardinal Health is the employer of choice for pharmacists because we offer a variety of career opportunities in pharmacy leadership, clinical specialties, remote order entry, business management, medication therapy management and more.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Dublin, OH, US

Year founded

1971

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