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Data Science Associate Jobs in Nevada (NOW HIRING)

Their IP team is built differently: attorneys who aren't just lawyers -- they're former scientists ... data storage, and databases. What We're Looking For Required: * J.D. from an ABA-accredited law ...

Background in statistics including Six Sigma, Data Science, or a mathematics degree * Experience or ... The health of our associates and communities is a top priority for Elevance Health. We require all ...

We're always looking towards the future, anticipating changes in medical science and technology ... Participating in clinical studies/data collection; * Troubleshooting; and, * Leading/supporting new ...

We're always looking towards the future, anticipating changes in medical science and technology ... Participating in clinical studies/data collection; * Troubleshooting; and, * Leading/supporting new ...

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Showing results 1-20

Data Science Associate information

See Nevada salary details

$58.6K

$69.3K

$131.4K

How much do data science associate jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data science associate in Nevada is $69,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $60,600.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
What are the most commonly searched types of Data Science jobs in Nevada? The most popular types of Data Science jobs in Nevada are:
What are popular job titles related to Data Science Associate jobs in Nevada? For Data Science Associate jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Nevada look for? The top searched job categories for Data Science Associate jobs in Nevada are:
What cities in Nevada are hiring for Data Science Associate jobs? Cities in Nevada with the most Data Science Associate job openings:
Infographic showing various Data Science Associate job openings in Nevada as of June 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $69,284 per year, or $33.3 per hour.
Principal Scientist - RGM Chemistry

Principal Scientist - RGM Chemistry

Regeneron Pharmaceuticals

Hawthorne, NV

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted just now


Regeneron rating

8.7

Company rating: 8.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

13th of 71 rated pharmaceutical


Job description

We are looking for a visionary Principal Scientist - RGM Chemistry to lead the discovery, development, and optimization of antibody-oligonucleotide conjugation technologies that power next-generation targeted therapeutics. Sitting at the intersection of bioconjugation chemistry, RNA science, and process innovation, you will set scientific strategy, guide a multidisciplinary team, and translate ground breaking concepts into scalable solutions that advance our therapeutic pipeline. Your deep expertise, collaborative attitude, and passion for mentoring will drive breakthrough medicines from bench to preclinical validation and beyond.

In this role, a typical day might include the following:
- Designing and completing experiments to refine linker chemistry, payload stability, and delivery efficiency for antibody-oligo conjugates
- Analyzing conjugates with HPLC, LC-MS, and bioassays to ensure purity, identity, and functional potency
- Leading project stand-ups, mentoring scientists and research associates, and troubleshooting technical challenges in real time
- Partnering with Process Development and Manufacturing to scale promising conjugation methods for preclinical supply
- Scouting and evaluating emerging bioconjugation or RNA delivery technologies, then proposing data-driven innovation projects
- Presenting program updates and strategic recommendations to senior R&D leadership and cross-functional partners

This job might be for you if you:
- Thrive on pushing the boundaries of antibody and oligonucleotide conjugation science
- Enjoy mentoring and developing talent in a collaborative, fast-paced research environment
- Translate sophisticated data into clear, actionable insights and strategic plans
- Demonstrate a strong record of innovation, publications, and/or patents in bioconjugation or RNA therapeutics
- Excel at balancing deep scientific rigor with pragmatic process development and scale-up considerations
- Are motivated by cross-functional collaboration that accelerates breakthrough medicines to the clinic

In order to be considered for this role, you must have:
- A Ph. D. in Chemistry, Biochemistry, Molecular Biology, or related field with 5+ years of postdoctoral or industry experience in antibody/oligonucleotide conjugation
- Validated expertise in bioconjugation, oligonucleotide therapeutics, and advanced analytical techniques (HPLC, LC-MS, bioassays)
- Proven leadership of multidisciplinary teams and successful track record in advancing therapeutic candidates toward preclinical or clinical development

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.


Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed onsite. Please speak with your recruiter and hiring manager for more information about onsite expectations for your role and location.


As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.


For jobs in Canada: this posting is for an existing position.


Salary Range (annually)

$128,600.00 - $210,000.00

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