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Entry Level Data Science Jobs in Nevada (NOW HIRING)

... on entry-level professional engineering assignments from the designs of others, compile data ... Education and Experience Requirements Bachelor of Science degree in an appropriate engineering ...

... * Entry level geological professional responsible for gathering data and information to be ... scientific expertise to solving our clients' challenges and achieve their goals for project ...

This role will be most commonly applied to patient care and/or scientific/laboratory jobs. A senior ... This may require interviewing the patient to obtain data. 3. Exercises a high degree of customer ...

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Entry Level Data Science information

See Nevada salary details

$10

$19

$27

How much do entry level data science jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for entry level data science in Nevada is $19.40, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $21.78 per hour, depending on experience, location, and employer.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to build experience.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience by working on personal projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning libraries can help demonstrate your abilities to employers.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or internships can improve your chances of securing such roles.
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 Entry Level Data Science jobs in Nevada? For Entry Level Data Science jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Entry Level Data Science jobs? Cities in Nevada with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Nevada as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $40,355 per year, or $19.4 per hour.
Engineer in Training I

Engineer in Training I

GCW, Inc.

Las Vegas, NV โ€ข On-site

Full-time

Posted 3 days ago


Job description

Description:

As an Engineer in Training I at GCW, you will have the opportunity to work on entry-level professional engineering assignments from the designs of others, compile data, perform elementary design computations, and prepare engineering plans.


Essential Functions

  • Assists with design and planning of engineering projects under supervision of the Project Manager.
  • Assists with report preparation, modeling, calculations, drawing preparation and revisions, and review of shop drawings and requests-for-information.
  • Interacts, as directed, with clients on an intermittent basis and gathers information from government agencies as needed.
  • Assists with the preparation of cost estimates.
  • Assists with study plans.
  • Conducts research and preparation of draft technical specifications for review and approval by Project Manager.
  • Submits requests, as directed, to appropriate government agencies.
  • Works closely with CAD Technicians, Designers, other E.I.โ€™s, and college interns to assist and complete project goals and deadlines.
  • Attends in-house training programs.


Transportation/Traffic Division

  • Preliminary Design Reports
  • Traffic Studies
  • Traffic Models/Simulations
  • Traffic Signal Design
  • Arterial and freeway design including roadside safety
  • Utility Coordination
  • Addressing utility/agency/project manager red lines and comments to plans
Requirements:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


Knowledge, Skills, and Abilities

Possesses ability to apply engineering principles to evaluate and solve basic engineering problems. Working knowledge of CAD Civil 3D software and Microsoft programs (Word, Excel, and Project). For some departments, specific working knowledge of ArcGIS software and/or WaterCAD is preferred.


Education and Experience Requirements

Bachelor of Science degree in an appropriate engineering discipline is required.


Certificates, Licenses, Registrations

Successful completion of the Fundamentals of Engineering Exam: EI certificate.


*The responsibilities outlined in this job description are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. The employer reserves the right to modify this job description at any time or with or without notice.