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Executive Data Science Jobs in Nevada (NOW HIRING)

Lnw

Head of Data

Las Vegas, NV · On-site

... science capability that the enterprise AI agenda depends on. This role partners directly with the Executive Leadership Team, business unit leaders, Finance, Operations, and Technology to ensure data ...

Light and Wonder, Inc.

Head of Data

Las Vegas, NV · On-site

... science capability that the enterprise AI agenda depends on. This role partners directly with the Executive Leadership Team, business unit leaders, Finance, Operations, and Technology to ensure data ...

KēSTA I.T.

Sr. Data Engineer

Las Vegas, NV · On-site

$97K - $131K/yr

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 ...

PlayAGS, Inc.

VP of Data & Analytics

Las Vegas, NV · On-site

$260 - $320/hr

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 ...

AGS

VP of Data & Analytics

Las Vegas, NV · On-site

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 ...

Wynn Resorts

Sr. Engineer - Data Security

Las Vegas, NV

$109K - $149K/yr

The role reports into the Executive Director of GRC, Architecture, and Data Security, takes ... A college diploma or university degree in computer or data science or IT management is preferred ...

Wynn Resorts

Sr. Engineer - Data Security

Las Vegas, NV · On-site

$109K - $149K/yr

The role reports into the Executive Director of GRC, Architecture, and Data Security, takes ... A college diploma or university degree in computer or data science or IT management is preferred ...

Redapt

vCTO

Las Vegas, NV · Remote

... 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 ...

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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 27, 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 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 skills and qualifications are needed to thrive as an executive data scientist?

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.

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 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.

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:

Executive Data Science jobs near you

Vice President, Data Science

Las Vegas, NV • On-site

Aristocrat Technologies, Inc.
Amusement, Gambling, and Recreation • 11 - 50 employees

6.3

Company rating: 6.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

183rd of 225 rated it services

People enjoy working here

Paid breaks

Respectful managers

Learn more about Aristocrat Technologies, Inc.external

$189K - $351K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

At Aristocrat, we are passionate about bringing happiness to life through the power of play. As a world leader in gaming content and technology, we strive to build outstanding experiences for our customers and players. The Vice President, Data Science defines and delivers Aristocrat's enterprise Data Science strategy and builds a Data Science organization that delivers business impact through machine learning, statistical modeling, advanced analytics, and AI. As a member of the Enterprise Data & Analytics leadership team, this role partners with senior business and technology leaders to shape strategy, accelerate innovation, and enable data-driven decision making across the enterprise.
What You'll Do
  • Define and implement the enterprise Data Science strategy, roadmap, and operating model.
  • Serve as the executive advisor on Data Science strategy, investments, risks, and emerging opportunities.
  • Partner with executive leaders to identify, prioritize, and scale Data Science, machine learning, and AI opportunities that solve business problems, improve decision making, and create measurable business value and competitive advantage.
  • Evaluate emerging Data Science, AI, and machine learning technologies, tools, and techniques, and establish a roadmap for adoption where they provide relevant business value.
  • Lead, develop and grow a high-performing organization through multiple levels of leadership, including Directors, Managers, Data Scientists, and Machine Learning Engineers.
  • Establish enterprise standards, governance, and operating principles for machine learning, statistical modeling, experimentation, optimization, decision science, and responsible AI.
  • Define the enterprise strategy and architecture for model lifecycle management, including model development, deployment, monitoring, governance, and continuous improvement.
  • Collaborate with Architecture, Data Governance, Platform Engineering, and Analytics teams to ensure scalable and balanced delivery of Data Science capabilities.
  • Drive enterprise adoption of advanced analytics and machine learning solutions that improve business outcomes and decision making.
  • Establish frameworks to measure adoption, business impact, and value realization of Data Science investments.
  • Shape an organization known for technical excellence, innovation, accountability, and continuous learning.

What We're Looking For
  • 15+ years of progressive leadership experience in Data Science, Machine Learning, AI, Advanced Analytics, Statistical Modeling, or related quantitative disciplines.
  • Deep familiarity with gaming, digital product, media, or entertainment businesses preferred.
  • Experience leading enterprise Data Science organizations through Directors, Managers, and senior technical leaders.
  • Proven success building and scaling Data Science capabilities that enable production machine learning, AI, and advanced analytics solutions.
  • Experience defining enterprise Data Science operating models, governance frameworks, and model lifecycle practices that support the scalable adoption of advanced analytics, machine learning, and AI.
  • Experience evaluating emerging Data Science, AI, and machine learning technologies and converting innovation opportunities into practical business capabilities.
  • Outstanding executive communication, partner influence, and organizational leadership skills, able to build strong partnerships across business and technology functions.
  • Master's degree or PhD in Data Science, Statistics, Computer Science, Mathematics, Engineering, Economics, or a related quantitative field preferred; equivalent experience will also be considered.

Why Aristocrat?
Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We're a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play.
We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V
  • World Leader in Gaming Entertainment
  • Robust benefits package
  • Global career opportunities

Our Values
  • All about the Player
  • Talent Unleashed
  • Collective Brilliance
  • Good Business Good Citizen

Travel Expectations
Up to 25%
Pay Range
$189,000 - $351,000 per year
Our goal is to pay a market competitive salary focusing near the median of our pay ranges. However, final offers for all positions will be based on several factors such as experience level, education, skills, work location, and internal pay equity.
This position offers a comprehensive benefits package, including health, dental, and vision insurance, paid time off, and a 401(k) plan with employer matching, more details available at https://atibenefits.com/.
Additional Information
At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

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