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Data Science Associate Jobs in Nevada (NOW HIRING)

... Associate) - Bachelor's degree in an IT-related field (e.g., Computer Science, Network Engineering), or experience in professional or military IT-related roles - Work a flexible schedule including ...

AWS Cloud Data Engineer

Las Vegas, NV · On-site

$53.25 - $71.25/hr

Qualifications : Required : • Bachelors or Masters degree in Computer Science, Information ... Preferred : • AWS Certified Data Engineer - Associate • AWS Certified Cloud Practitioner • ...

Medtech Clinical Nurse Educator

Las Vegas, NV · On-site

$37.50 - $51/hr

... * RN Degree - Associates required, Bachelor's preferred * Active and Unrestricted RN license ... We believein pushing the boundaries of human science and data science to make the biggest impact ...

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 ...

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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 May 30, 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.

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.

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.

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.

Is data science dead in 10 years?

Data Science Associate roles are expected to remain relevant in the next decade as organizations continue to rely on data-driven decision making. Advances in automation and AI may change some tasks, but skills in statistical analysis, programming, and machine learning will still be valuable for interpreting complex data. Continuous learning and adapting to new tools like Python, R, and cloud platforms will be important for future success in the field.

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 are the most commonly searched types of Data Science jobs in Nevada? The most popular types of Data Science jobs in Nevada 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:

$38.23 - $56.51/hr

Full-time

Posted 5 days ago


Job description

ABOUT THE POSITION The Clark County Department of Aviation (DOA) is seeking qualified candidates to apply for the Airport Data Engineer position. This position provides professional support in leading the design, implementation, and maintenance of DOA's data analytics infrastructure, focusing on cloud-based solutions. Further, this position develops and maintains Microsoft Power BI dashboards, reports, and data visualizations that translate a variety of data into actionable business insights.

Additionally, this position collaborates with stakeholders across DOA to define reporting requirements, manage project timelines, and deliver analytical solutions that support informed decision-making at all levels. This is an open and continuous recruitment; scheduling dates will vary depending on when the application was received and reviewed by Employee Services. This examination will establish an Open Competitive Eligibility list to fill current and/or future vacancies that may occur within the next six (6) months at either level or may be extended as needed by Employee Services.

This position is confidential and excluded from membership in the union. Also, this classification is designated exempt under the Fair Labor Standards Act (FLSA), and is therefore, not eligible for overtime. Employee Services reserves the right to call only the most qualified applicants to the selection process.

MINIMUM REQUIREMENTS Education and Experience: Bachelor's Degree in Computer Science, Management Information Systems, or a closely related field and six (6) years of full-time professional level experience in data engineering, with a focus on cloud environments. Possession at time of application and maintenance of a Microsoft Certified Azure Data Engineer Associate or Microsoft Certified Systems Engineer (MCSE) is preferred and may be substituted for education or experience up to two (2) years. Additionally, professional level experience and/or education that has provided the skills and knowledge necessary to perform all job functions at this level may be substituted on a year-for-year basis up to two (2) years.

All qualifying education and each experience must be clearly documented in the "Education" and "Work Experience" sections of the application. Do not substitute a resume for your application or write "see attached resume" on your application. All details must be written in your own words and cannot be copied from job descriptions or other external sources.

Licensing and Certification: AWS Certified Big Data, IBM Certified Data Engineer, Oracle Certified Professional - MySQL, DBA, Certified Data Management Professional (CDMP), SAS Certified Bid Data Professional or similar are preferred. Specified positions may require possession of a valid Nevada Class C driver's license at time of hire. Pre-Employment Drug Testing: Employment is contingent upon the results of a pre-employment drug examination.

Residency Requirement: Permanent employees must maintain a principal place of residency within the boundaries of Clark County and provide proof of compliance with Nevada motor vehicle registration and drivers' license laws within 90 days of employment. Citizenship: Candidates must be legally authorized to work in the United States. Please note, Clark County does not provide H1B visa sponsorships or transfers for any employment positions.

Background Check: Employment with the Department of Aviation is contingent upon completion of an education/experience background investigation, a fingerprint-based criminal history record check processed by the FBI, and upon the ability to be granted and maintain a security badge as mandated by the Transportation Security Administration. Note: all prospective hires must present two original government issued ID's upon acceptance of job offer. Examples of acceptable ID's include a Passport, Driver's License or DMV issued ID, birth certificate, Social Security card, Voter Registration card, school issued ID with picture, etc.

Customs and Border Protection Security Seal Program: Employment with the Department of Aviation in this job title is contingent upon a ten year employment and five year residency history record check and the ability to present original identity based documentation in order to meet the requirements for a Security Seal. PHYSICAL DEMANDS Mobility to work in a typical office setting and use standard office equipment, stamina to remain seated and maintain concentration for an extended period of time, vision to read printed materials and a computer screen, and hearing and speech to communicate in person or over the telephone. Accommodation may be made for some of these physical demands for otherwise qualified individuals who require and request such accommodation.

EXAMPLES OF DUTIES Creates data pipelines, developing efficient ETL processes, and building scalable data models to support analytical and operational needs of the organization. Works with confidential and organization sensitive data and systems. Designs, develops and maintains data pipelines and ETL processes in a cloud-based and on-premise environments.

Implements and manages data lakes and data warehouses utilizing cloud-based services. Creates and optimizes data models to support stakeholder requirements and analytical needs. Collaborates with cross-functional teams to define and implement data solutions.

Ensures data quality, security, and compliance with industry standards. Optimizes data infrastructure for performance, scalability, and cost-efficiency. Troubleshoots and resolves complex data-related issues.

Implements real-time data processing solutions for operations monitoring and reporting. Designs and implements data integration strategies to connect various airport systems and external data sources. Tests, troubleshoots, refines and documents systems; applies quality assurance and security standards to ensure against the loss of data and a minimal interruption of usage in the event of equipment failure.

Plans and develops test data to validate new or modified database applications, monitors system performance by the use of appropriate utilities, online capabilities and batch reports. Confers with IT and customer staff to define functional requirements, perform data modeling and implement final products; resolves errors and interface problems and ensures integrated systems in accordance with development standards. Composes program documentation and user procedures and instructions and assists user departments and staff in implementing new or modified database applications; tracks and evaluates project and systems progress.

Serves on a variety of committees, project teams and task forces and provides customer service support as required. Prepares a variety of technical, statistical and narrative reports, letters, memos and other written materials. Contributes to the efficiency and effectiveness of the unit's service to its customers by offering suggestions and directing or participating as an active member of a work team.