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Data Science Research Jobs in Nevada (NOW HIRING)

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Large scale machine learning experience working with terabytes of data * Implemented custom ...

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Data Science Research information

Is 40 too late for data science?

Data science research roles do not have strict age limits, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

How does a Data Science Researcher typically collaborate with other departments within an organization?

Data Science Researchers frequently work cross-functionally, collaborating with teams such as engineering, product management, and business analytics. They often translate complex research findings into actionable insights, guiding product development or business strategies. Regular meetings, joint project planning, and code reviews are common, ensuring that research outcomes align with organizational goals. Effective communication and teamwork are key to integrating advanced data solutions into real-world applications.

What do data science researchers do?

Data science researchers analyze large datasets to identify patterns, develop models, and generate insights that inform decision-making. They often use programming languages like Python or R, statistical methods, and machine learning techniques, working in research environments or industry settings to advance knowledge or solve complex problems.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Data Science Director, with salaries exceeding $150,000 annually. These roles typically require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities.

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

AspectData Science ResearchData Analyst
CredentialsTypically requires advanced degrees (Master's or PhD) in Data Science, Statistics, or related fieldsOften requires a Bachelor's or Master's degree in Data Analysis, Statistics, or related areas
Work EnvironmentResearch labs, academic institutions, or R&D departments within companiesBusiness environments, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutions, tech companies focusing on innovationRetail, finance, healthcare, and other industries focusing on data-driven decision making

Data Science Research focuses on developing new algorithms, models, and theories, often in academic or R&D settings. In contrast, Data Analysts primarily interpret existing data to generate reports and insights for business decisions. Both roles require strong analytical skills but differ in scope, goals, and work environment.

Is a Data Scientist in high demand?

Data Scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to remain strong in the coming years.

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

To thrive as a Data Science Researcher, you need strong analytical skills, expertise in statistics and machine learning, and an advanced degree in a quantitative field such as computer science, mathematics, or engineering. Proficiency with programming languages like Python or R, data visualization tools, and experience using platforms such as TensorFlow or PyTorch is typically required. Curiosity, creativity, and clear communication are essential soft skills for designing research questions, interpreting results, and sharing findings with diverse audiences. These skills and qualities are crucial for driving innovative solutions and impactful insights in data-driven environments.

What is data science research?

Data science research involves using scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Researchers in this field work on developing new data analysis techniques, machine learning models, and data-driven solutions to solve complex problems. The work often includes designing experiments, analyzing large datasets, and publishing findings to advance the understanding of data science methodologies.
What are popular job titles related to Data Science Research jobs in Nevada? For Data Science Research jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Data Science Research jobs in Nevada look for? The top searched job categories for Data Science Research jobs in Nevada are:
Data Science Research jobs near you
Infographic showing various Data Science Research job openings in Nevada as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist Level lll

MbSolutions Inc

Indian Springs, NV • On-site

Full-time

Dental, Retirement

Re-posted 3 days ago

Job description

Job Overview
We are seeking a highly skilled and innovative Data Scientist Level III to join our dynamic analytics team. In this role, you will leverage your extensive expertise in machine learning, data mining, and big data technologies to develop advanced models that drive strategic decision-making. You will work on complex datasets, utilize cutting-edge AI frameworks, and deploy scalable solutions that impact various business units. Your passion for uncovering insights and translating data into actionable intelligence will help shape the future of our organization's data-driven initiatives.
Requirements
  • Must be a US Citizen
  • Must have a favorable Tier 1 (T1) security investigation
  • Must Minimum of Bachelor's degree in computer science, operations research, or a comparable field
  • Minimum of 5 years of experience in professional software algorithm development and/or database management and visualization.
  • Experience with software development lifecycle and use of associated tools.
  • Proficient in Python, R, Matlab, Lua, or other data science[1]centric programming language.
  • Mathematical knowledge of optimization, multi-variate calculus, probability & statistics, linear algebra, and numerical methods.
  • Knowledge of supervised and unsupervised machine learning concepts, such as Artificial Neural Networks, SVMs, Random Forests, Gaussian Processes, and other techniques.
  • Knowledge of common data visualization technologies, such as matplotlib, bokeh, d3, or matlab.
  • Willingness to learn new skills and technologies and exit "comfort zone".
  • Good organization, decision making, and verbal and written communication skills.
  • High level of self-initiative and self-motivation with the ability to work under minimal supervision.
  • Ability to work effectively in small team settings to solve complex problems

Benefits:
  • 401(k)
  • Dental insurance
  • Retirement plan
  • Tuition reimbursement

Work Location: In person

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