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Executive Data Science Jobs in Nevada (NOW HIRING)

Industry/Sector Not Applicable Specialism Data Science Management Level Director & Summary The ... executive-level client relations. You will inspire others by translating vision into action ...

Develop advanced data products and APIs to enable analytics, reporting, and data science use cases ... and Executive / leadership-based positions on a full time and consulting basis. If you're ...

Reporting to the Executive Director of Information Security, this role will be key in assuring ... Bachelor's degree in Computer Science, Data Science, Information Security, or / or IT management * ...

Reporting to the Executive Director of Information Security, this role will be key in assuring ... Bachelor's degree in Computer Science, Data Science, Information Security, or / or IT management * ...

Build data products - operator-facing performance dashboards, executive scorecards, game analytics ... Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field ...

... executive advisory services as well as support the Redapt sales team in pre-sales calls and ... analytics, data science, DataOps, and AI deployments. We are looking for a Senior Data and AI ...

Sr. Engineer - Data Security

Las Vegas, NV

$109K - $149K/yr

Reporting to the Executive Director of Information Security, this role will be key in assuring ... College diploma or university degree in computer/data science or IT management and/or 7 years of ...

Sr. Engineer - Data Security

Las Vegas, NV · On-site

$109K - $149K/yr

Reporting to the Executive Director of Information Security, this role will be key in assuring ... College diploma or university degree in computer/data science or IT management and/or 7 years of ...

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Executive Data Science information

See Nevada salary details

$27K

$95.3K

$187.4K

How much do executive data science jobs pay per year?

As of Aug 2, 2026, the average yearly pay for executive data science in Nevada is $95,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $122,700.00 per year, depending on experience, location, and employer.

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

To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.

What is Executive Data Science?

Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.

What is the difference between Executive Data Science vs Data Scientist?

AspectExecutive Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic, leadership-focused, often in executive officesHands-on data analysis, modeling, coding in technical teams
Employer & Industry UsageSenior roles in tech, finance, consulting, and large organizationsTech companies, startups, research institutions, various industries

Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.

How does an Executive Data Scientist typically collaborate with other departments to drive data-driven decision making?

Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable the alignment of data science initiatives with organizational goals.
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 Executive Data Science jobs in Nevada? For Executive Data Science jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Executive Data Science jobs in Nevada look for? The top searched job categories for Executive Data Science jobs in Nevada are:
What cities in Nevada are hiring for Executive Data Science jobs? Cities in Nevada with the most Executive Data Science job openings:

AI & GenAI Data Scientist-Director

Pwc

Las Vegas, NV

$155K - $410K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

25th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Director

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. You will inspire others by translating vision into action, shaping client engagements, and mentoring future leaders.
In this role, you will be a guardian of PwC's reputation, understanding that quality, integrity, inclusion, and a commercial mindset are foundational to success. You will create a healthy working environment, maximizing client satisfaction and cultivating potential in others. By actively collaborating across the PwC Network, you will leverage collective strengths to identify market gaps and convert opportunities into success for the firm. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models, promoting technological advances where people and technology thrive together.
Responsibilities
- Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights
- Overseeing the implementation of data infrastructure and integration to support scalable AI systems
- Driving business growth by identifying market opportunities and converting them into successful client engagements
- Mentoring and guiding teams in the application of advanced data analytics and AI techniques
- Promoting technological advancements and fostering an environment where people and technology thrive together
- Collaborating with executive-level clients to shape strategic directions and deliver impactful solutions
- Utilizing programming languages such as Python and C++ to develop and deploy AI models
- Managing complex data analysis and confirming data quality and integrity within analytics frameworks
- Encouraging creativity and innovation in problem-solving and solution development
- Building and maintaining relationships with stakeholders to enhance client satisfaction and project success
What You Must Have
- At least a Bachelor's degree
- At least 12 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing Python and C++ for complex data analysis and modeling
- Leading AI-driven automation projects with strategic mindset and innovation
- Promoting technological advances in data infrastructure and integration
- Cultivating potential in others through coaching and feedback

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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