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Data Scientist Analyst Jobs in Nevada (NOW HIRING)

Staff Data Scientist

Carson City, NV · On-site

$180 - $260/hr

... analysis, and long-term signal stability. * Influence telemetry collection, data contracts, feature ... Mentor data scientists by improving problem framing, modeling judgment, validation rigor, code ...

Familiarity with agent-based coding tools like Claude Code, OpenAI Codex, or GitHub Copilot Experience Completion of relevant coursework (e.g., computer science, data analysis, statistics, education ...

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Data Science Tutor

Henderson, NV · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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Data Scientist Analyst information

What is a data scientist analyst?

A Data Scientist Analyst is responsible for collecting, processing, and analyzing large datasets to extract meaningful insights that drive business decisions. They use statistical methods, machine learning, and data visualization tools to identify trends, patterns, and correlations. This role typically requires proficiency in programming languages like Python or R, as well as experience with databases and data manipulation tools. Data Scientist Analysts work closely with business stakeholders to translate data findings into actionable recommendations.

What are the key skills and qualifications needed to thrive as a data scientist analyst?

To thrive as a Data Scientist Analyst, you need strong analytical skills, knowledge of statistics and machine learning, proficiency in programming languages like Python or R, and typically at least a bachelor's degree in a related field. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and relevant certifications like Google Data Analytics or Microsoft Certified: Data Scientist Associate are commonly expected. Effective problem-solving, communication, and collaboration abilities are key soft skills for success in this role. These skills ensure that data-driven insights can be efficiently derived, interpreted, and communicated to support informed business decisions.

What are the typical career growth opportunities for a data scientist analyst?

As a Data Scientist Analyst, you can advance into roles such as Senior Data Scientist, Machine Learning Engineer, or Data Science Manager with experience and demonstrated expertise. Many organizations support professional development through mentorship programs, advanced training, or opportunities to lead key projects. Over time, building a robust portfolio of impactful analyses and data-driven recommendations can help propel your career forward. Collaboration across technical and business teams is common, providing a broad understanding of how data informs strategic decisions and opening pathways to leadership or more specialized analytics roles.

What job categories do people searching Data Scientist Analyst jobs in Nevada look for?

The top searched job categories for Data Scientist Analyst jobs in Nevada are:

Infographic showing various Data Scientist Analyst job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

DATA SCIENTIST

US Department of the Air Force

Nellis Air Force Base, NV • On-site

$49K/yr

Full-time, Part-time

Re-posted 18 days ago


Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER