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Behavioural Science Jobs in Nevada (NOW HIRING)

Deloitte

Lead AI and Data Science Engineer II

Las Vegas, NV · On-site

$97K - $128K/yr

The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable ...

St. Rose Dominican Siena

Chaplain Associate

Henderson, NV · On-site

$24.15 - $34.12/hr

Bachelors degree in Theology or Behavioral Science * Supervised healthcare chaplaincy of atleast three (3) months, may include hospice experience and/or Clinical Pastoral Education * One Unit of ...

Varsity Tutors

College Political Science Tutor

Reno, NV · Remote

$18 - $40/hr

... behavior. Ability to explain separation of powers, democratic theory, realist versus liberal ... Familiar with political science curricula at introductory and upper-division levels and common ...

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All JobsBehavioural Science JobsBehavioural Science Jobs in Nevada

Behavioural Science information

See Nevada salary details

$24.9K

$49.3K

$80.4K

How much do behavioural science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for behavioural science in Nevada is $49,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,200.00 and $53,000.00 per year, depending on experience, location, and employer.

What is the difference between Behavioural Science vs Data Analyst?

AspectBehavioural ScienceData Analyst
Required CredentialsDegree in Psychology, Sociology, or Behavioural ScienceDegree in Statistics, Mathematics, or Data Science
Work EnvironmentResearch settings, consulting firms, or corporate teams focusing on human behaviorData-driven environments, business intelligence, and reporting teams
Industry UsageMarketing, healthcare, policy development, and user experienceFinance, marketing, technology, and operations

While both roles analyze data, Behavioural Scientists focus on understanding human behavior and applying insights to influence decisions, whereas Data Analysts primarily interpret data to inform business strategies. The two roles often collaborate but serve different core functions within organizations.

What are the key skills and qualifications needed to thrive as a behavioural scientist, and why are they important?

To thrive as a Behavioural Scientist, you need a solid background in psychology, statistics, and research methods, usually supported by an advanced degree in behavioural science or a related field. Familiarity with statistical analysis software (such as SPSS, R, or Python), survey tools, and data visualization platforms is often required. Strong critical thinking, communication, and collaboration skills help behavioural scientists design effective studies and translate findings for diverse audiences. These abilities ensure rigorous research, actionable insights, and impactful solutions to real-world behavioural challenges.

What is behavioural science?

Behavioural science is the study of how people make decisions and act in various situations, drawing from fields like psychology, sociology, and economics. It aims to understand human behavior by examining the factors that influence choices, habits, and social interactions. Professionals in this field use research and data to develop interventions that can change behaviors for better outcomes in areas such as health, education, and business. Behavioural scientists often work in research, policy-making, marketing, or consulting roles.

What does a behavioral scientist do?

A behavioral scientist studies human behavior to understand why people act in certain ways and how to influence their decisions. They use research methods, data analysis, and psychological theories to develop strategies for improving behaviors in areas like health, marketing, or public policy.

What can I do with a behavioral science degree?

A behavioral science degree prepares individuals for roles such as behavioral analyst, research analyst, or user experience researcher, focusing on understanding human behavior to improve products, services, or policies. Graduates often work in healthcare, marketing, public policy, or consulting, utilizing skills in data analysis, psychology, and research methods.

Is behavioral science a good career?

Behavioral science is a growing field that involves applying psychological and social principles to understand and influence human behavior. Careers in this area often require strong analytical skills, knowledge of research methods, and sometimes advanced degrees or certifications. It can offer diverse opportunities in research, consulting, healthcare, and technology sectors.

How does a behavioural scientist typically collaborate with cross-functional teams in an organization?

Behavioural scientists frequently work alongside professionals from marketing, product development, data analytics, and human resources to integrate behavioural insights into various projects. This collaboration often involves translating research findings into actionable strategies, designing experiments or interventions, and evaluating their effectiveness through data analysis. Clear communication and the ability to explain complex concepts in accessible terms are crucial, as is adaptability to different team dynamics. These collaborations not only enhance project outcomes but also provide behavioural scientists with exposure to diverse business functions and growth opportunities.

What can I do with a career in behavioural science?

A career in behavioural science involves applying psychological and social principles to understand and influence human behavior. Professionals can work in areas such as research, consulting, public policy, marketing, or user experience design, often using data analysis and behavioral models to develop effective strategies. Skills in research methods, data analysis, and understanding of cognitive biases are essential for success in this field.
What are popular job titles related to Behavioural Science jobs in Nevada? For Behavioural Science jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Behavioural Science jobs in Nevada look for? The top searched job categories for Behavioural Science jobs in Nevada are:
Behavioural Science jobs near you
Infographic showing various Behavioural Science job openings in Nevada as of August 2026, with employment types broken down into 61% Full Time, and 39% Part Time. Highlights an 100% In-person job distribution, with an average salary of $49,277 per year, or $23.7 per hour.

Lead AI and Data Science Engineer II

Deloitte

Las Vegas, NV • On-site

$97K - $128K/yr

Full-time

Posted 11 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services

Job description

Lead AI and Data Science Engineer II

Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent strategy and workforce decisions. In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You will also partner with business, Talent, and technology stakeholders to translate workforce data into actionable insights, tools, and recommendations.

Recruiting for this role ends on August 10, 2026.

Work You'll Do

In this role, you will lead the data science dimension of that work, shaping research design, analytical methodology, and solution development while helping develop junior data scientists across the full analytics lifecycle.

Strategy & Stakeholder Partnership

  • Partner with the Advanced Analytics & AI leader to help shape and execute the People Analytics portfolio, using data-driven insights to inform Talent strategy, establish priorities, and manage multiple initiatives.
  • Collaborate with stakeholders across Talent, business leadership, and ITS to define business needs, identify analytics opportunities, communicate complex technical concepts, and advise on the benefits and limitations of automation and artificial intelligence (AI).
  • Develop and drive strategy to understand and improve data quality across relevant Talent data assets.

Analytics & Data Science

  • Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to generate rigorous, actionable insights.
  • Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent disciplines.

Software & Data Engineering

  • Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations.
  • Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery (CI/CD) concepts to inform technical decisions.

People Leadership

  • Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings.
  • Provide structure and oversight for analytically complex projects, while assessing talent, delivering developmental feedback, and contributing to a high-performing analytics team.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

The Talent Experience & Engagement, People Analytics - Advanced Analytics & AI team helps the firm make informed people and business decisions by translating workforce data into actionable insights, tools, and strategies. The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable solutions with measurable impact.

The work is delivered through two connected capabilities. Organizational research and storytelling ground analyses in rigorous social science and clear, decision-oriented narratives. Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure.

Qualifications

Required:

  • Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • 6+ years of experience in data science, analytics, or applied research
  • Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML), and Cascading Style Sheets (CSS)
  • Experience applying multivariate statistics and machine learning methods, including regression, structural equation modeling, factor analysis, decision trees, clustering, and dimension reduction, in Apache Spark or Databricks environments
  • Experience developing artificial intelligence (AI) or generative artificial intelligence (GenAI) applications and working with extract, transform, load (ETL), pipeline design, and orchestration concepts
  • Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment
  • Mentorship of junior and mid-level analysts, providing guidance across the analytics lifecycle from conception through data mining/analysis and synthesis of results
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Doctor of Philosophy (PhD) in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • Experience in a professional services organization or large matrixed organization
  • Experience designing and building end-to-end data pipelines for reporting and analytics
  • Experience applying behavioral science frameworks to interpret workforce data and generate insight - not solely technical or statistical proficiency
  • Experience with talent systems such as OneModel or SAP

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $118700 to $218600.

Qualifications:

Lead AI and Data Science Engineer II

Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent strategy and workforce decisions. In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You will also partner with business, Talent, and technology stakeholders to translate workforce data into actionable insights, tools, and recommendations.

Recruiting for this role ends on August 10, 2026.

Work You'll Do

In this role, you will lead the data science dimension of that work, shaping research design, analytical methodology, and solution development while helping develop junior data scientists across the full analytics lifecycle.

Strategy & Stakeholder Partnership

  • Partner with the Advanced Analytics & AI leader to help shape and execute the People Analytics portfolio, using data-driven insights to inform Talent strategy, establish priorities, and manage multiple initiatives.
  • Collaborate with stakeholders across Talent, business leadership, and ITS to define business needs, identify analytics opportunities, communicate complex technical concepts, and advise on the benefits and limitations of automation and artificial intelligence (AI).
  • Develop and drive strategy to understand and improve data quality across relevant Talent data assets.

Analytics & Data Science

  • Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to generate rigorous, actionable insights.
  • Perform analytics in cloud-based environments, support the development of clear leadership-ready presentations, and stay current on developments in data science, behavioral science, and adjacent disciplines.

Software & Data Engineering

  • Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that improve Talent reporting and business operations.
  • Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery (CI/CD) concepts to inform technical decisions.

People Leadership

  • Mentor junior and mid-level data scientists across the analytics lifecycle, from problem framing and data collection through analysis and synthesis of findings.
  • Provide structure and oversight for analytically complex projects, while assessing talent, delivering developmental feedback, and contributing to a high-performing analytics team.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

The Talent Experience & Engagement, People Analytics - Advanced Analytics & AI team helps the firm make informed people and business decisions by translating workforce data into actionable insights, tools, and strategies. The team combines behavioral science, organizational research, advanced analytics, and artificial intelligence (AI) to address leadership questions, improve decision-making, and create scalable solutions with measurable impact.

The work is delivered through two connected capabilities. Organizational research and storytelling ground analyses in rigorous social science and clear, decision-oriented narratives. Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns in workforce data, build data and generative artificial intelligence (GenAI) applications, and partner with Talent data engineering teams on pipelines and infrastructure.

Qualifications

Required:

  • Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • 6+ years of experience in data science, analytics, or applied research
  • Experience using Python and Structured Query Language (SQL), with working knowledge of JavaScript, TypeScript, HyperText Markup Language (HTML), and Cascading Style Sheets (CSS)
  • Experience applying multivariate statistics and machine learning methods, including regression, structural equation modeling, factor analysis, decision trees, clustering, and dimension reduction, in Apache Spark or Databricks environments
  • Experience developing artificial intelligence (AI) or generative artificial intelligence (GenAI) applications and working with extract, transform, load (ETL), pipeline design, and orchestration concepts
  • Demonstrated experience leading AI strategy and enabling adoption of AI or data engineering tools within a complex organizational environment
  • Mentorship of junior and mid-level analysts, providing guidance across the analytics lifecycle from conception through data mining/analysis and synthesis of results
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Doctor of Philosophy (PhD) in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational Psychology, Organizational Behavior, Sociology, Economics, Anthropology, or another quantitative discipline
  • Experience in a professional services organization or large matrixed organization
  • Experience designing and building end-to-end data pipelines for reporting and analytics
  • Experience applying behavioral science frameworks to interpret workforce data and generate insight - not solely technical or statistical proficiency
  • Experience with talent systems such as OneModel or SAP

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to ski...

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