1

Data Science Entry Jobs in Nevada (NOW HIRING)

The developer is a cross functional role that has an in-depth understanding of data science ... entry points from all Maintenance and Procurement departments that occur outside AIS/TRAX to ...

The developer is a cross functional role that has an in-depth understanding of data science ... Document various data entry points from all Maintenance and Procurement departments that occur ...

The developer is a cross functional role that has an in-depth understanding of data science ... Document various data entry points from all Maintenance and Procurement departments that occur ...

The developer is a cross functional role that has an in-depth understanding of data science ... Document various data entry points from all Maintenance and Procurement departments that occur ...

... Entry Networking Technician, Network+, or CCNA - Cisco Certified Network Associate) - Bachelor ... Science, Network Engineering), or experience in professional or military IT-related roles - Work a ...

Bachelor's or higher degree in Geology, Earth Sciences, or a related field. * Proven experience in drill core logging and sampling. * Proficiency in digital data entry and geological software.

next page

Showing results 1-20

Data Science Entry information

See Nevada salary details

$11

$19

$28

How much do data science entry jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for data science entry in Nevada is $19.83, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $22.26 per hour, depending on experience, location, and employer.

What is an entry-level data scientist?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

What skills and qualifications are needed to thrive as an entry-level data scientist?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

What types of projects do entry-level data scientists work on?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

Can a data science entry-level position be entry-level?

Yes, data science entry-level positions are designed for candidates with minimal professional experience, often requiring skills in programming languages like Python or R, and familiarity with data analysis tools. These roles typically involve learning on the job and may require a relevant degree or certification, such as a data science bootcamp or coursework.

Is it possible to get a data science 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 helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.
Infographic showing various Data Science Entry job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $41,246 per year, or $19.8 per hour.

Data Compliance Coordinator

Las Vegas, NV

Thermo Fisher Scientific
Biotechnology Research and Development • 10K+ employees

Full-time

Posted 11 days ago


Thermo Fisher Scientific rating

7.8

Company rating: 7.8 out of 10

Based on 430 frontline employees who took The Breakroom Quiz

171st of 547 rated manufacturers


Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
Join our team at Thermo Fisher Scientific as a Corporate Compliance Associate II supporting clinical trials across our research sites. In this role, you'll ensure data quality and regulatory compliance while contributing to meaningful clinical research that improves health outcomes. You'll coordinate operational compliance activities across multiple studies, maintain critical documentation, and work closely with monitors and sponsor representatives to uphold the highest standards of data integrity. As part of our clinical research portfolio, you'll play an essential role in optimizing participant experiences in clinical trials and enabling life-changing therapies to reach those who need them.
REQUIREMENTS:
• Relevant experience in clinical research, data management, or related field preferred
• Technical certification may be required for certain positions
• Strong knowledge of ICH/GCP guidelines and regulatory requirements
• Proficient in electronic Case Report Form (eCRF) data entry and query resolution
• Experience maintaining Investigator Site Files (ISF) and study documentation
• Excellent attention to detail and quality control capabilities
• Strong time management skills with ability to handle multiple studies simultaneously
• Proficiency in Microsoft Office applications
• Ability to learn and apply medical terminology
• Strong verbal and written communication skills in English
• Bilingual skills may be required for specific positions
• Ability to work both independently and collaboratively in a team environment
• Experience with monitoring visit preparation and follow-up
• Knowledge of data protection regulations and compliance requirements
• Physical ability to be stationary for extended periods and perform computer work
 


What Thermo Fisher Scientific employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom