Interested in this Data Scientist role at Aristocrat?
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About This Role
Join Aristocrat, a leader in the entertainment and gaming industry, as an Advanced Insights Data Scientist. Our mission is to build world\-class gaming experiences that captivate and entertain millions worldwide. In this role, you'll be at the forefront of commercial strategy, transforming complex datasets into actionable insights that drive key decisions. This is your chance to collaborate with premier professionals in a dynamic and ambitious environment, where your contributions will have a significant impact!
What You'll Do
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- Leverage data science, machine learning, and advanced analytics to solve business problems and provide actionable insights.
- Plan and complete complex projects using statistical applications, big data analyses, and machine learning.
- Develop innovative analytic solutions, models, and automation processes to support commercial strategy.
- Build and support data models, algorithms, and statistical analyses for meaningful insights.
- Stay updated on emerging data engineering technologies and trends, evaluating and implementing appropriate tools.
- Collaborate with the BI team to improve reporting and visualizations for collaborators.
- Partner with the Enterprise Data \& Insights team to develop and deploy data science models.
- Provide analytical commentary on industry trends and impacts.
- Present recommendations and results clearly to various audiences.
- Measure and report the impact of deployed models on business outcomes.
What We're Looking For
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- BSc in mathematics, statistics, computer science, or equivalent experience in a related field.
- Additional training in Data Science, BI, Data Visualization, Analytics, Programming.
- Strong knowledge of SQL, Python, R, Java, and/or CSS.
- Experience with operationalizing ML models and basic MLOps/ CI\-CD workflows.
- Proficiency with Tableau, Power BI, Looker, or other visualization tools.
- Understanding of data management practices and the data lifecycle.
- Strong communication abilities for participating in targeted conversations.
- Excellent verbal, written, and communication skills for addressing audiences of varying sizes.
About Us: Aristocrat and Aristocrat Gaming
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Aristocrat is an Australia\-based entertainment and content\-creation company powered by technology to deliver world\-leading mobile and casino games, entertaining millions of people across the globe daily. The Aristocrat organisation includes three prestigious business units: Aristocrat Gaming, Product Madness, and Aristocrat Interactive. As an award\-winning organization, we thank our wonderful people for earning us numerous prestigious honors and recognitions.
Aristocrat Gaming is a part of Aristocrat and the world’s number one premium provider of casino games, innovative technology, and customer\-experience solutions. We have over 70,000 electronic game machines and 10\+ creative studios, and have been ranked as the \#1 top game supplier for five consecutive years. Aristocrat Gaming supports every facet of gaming floor operations from product to sales, systems, and service. Our products are renowned for innovative hardware, vivid graphics, groundbreaking mechanics, and superior performance, and our creative and technical talent is the best in the industry.
Aristocrat understands that keeping you engaged and excited about your professional setting is the ultimate fuel for our success and creativity, and we strive to keep your best interests our top priority. In addition to competitive pay, we’re proud to offer world\-class benefits, flexible work environments, and a workplace that is unparalleled. Apply today and take your career on a journey of fascinating tomorrows.
Aristocrat is proud to be an equal opportunity employer.
We celebrate diversity and do not discriminate based on gender, race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. Diversity and Inclusion are integral to our values of Talent Unleashed, Collective Brilliance, Good Business, Good Citizen, and It’s All About the Player.
Travel Expectations
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Up to XX%
Additional Information
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Depending on the nature of your role, you may be required to register with the Nevada Gaming Control Board (NGCB) and/or other gaming jurisdictions in which we operate.
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
NonePay Range
$70,000 \- $130,000 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.*
Salary Context
This $70K-$130K range is in the lower quartile for Data Scientist roles in our dataset (median: $157K across 236 roles with salary data).
View full Data Scientist salary data →Role Details
About This Role
Data Scientists extract insights and build predictive models from data. In the AI era, many roles now include LLM-powered analytics, automated reporting, and integration with generative AI tools. The role has evolved from 'the person who runs SQL queries' to 'the person who builds AI-powered data products.'
Modern data science roles fall into two camps: analytics-focused (insights, dashboards, experimentation) and ML-focused (building predictive models, recommendation systems, NLP features). The best data scientists can operate in both modes. The AI shift means that even analytics-focused roles now involve building automated insight pipelines using LLMs, going well beyond one-off reports.
Across the 3,823 AI roles we're tracking, Data Scientist positions make up 8% of the market. At Aristocrat, this role fits into their broader AI and engineering organization.
Data Scientist roles remain in high demand, though the definition keeps shifting. Companies increasingly want candidates who can bridge traditional statistics with modern ML and LLM capabilities. The 'pure insights' data scientist role is consolidating into analytics engineering, while the 'build models' data scientist role is merging with ML engineering.
What the Work Looks Like
A typical week includes: analyzing experiment results for a product feature launch, building a predictive model for customer churn, creating an automated reporting pipeline using LLM-powered summarization, presenting insights to stakeholders, and cleaning data (always cleaning data). The ratio of analysis to engineering varies by company, but expect both.
Data Scientist roles remain in high demand, though the definition keeps shifting. Companies increasingly want candidates who can bridge traditional statistics with modern ML and LLM capabilities. The 'pure insights' data scientist role is consolidating into analytics engineering, while the 'build models' data scientist role is merging with ML engineering.
Skills Required
Python, SQL, and statistical modeling are the foundation. Increasingly, roles want experience with LLMs for data analysis, automated insight generation, and building AI-powered data products. Familiarity with cloud data platforms (Snowflake, BigQuery, Databricks) and ML frameworks (scikit-learn, PyTorch) covers most job requirements.
Experimentation design and causal inference are underrated skills that separate strong candidates. Companies care about whether their product changes cause improvements, and can distinguish causation from correlation. A/B testing methodology, Bayesian statistics, and the ability to communicate uncertainty to non-technical stakeholders are high-value skills.
Good postings specify the data stack, the types of problems you'll work on, and the team structure. Look for companies that differentiate between analytics and ML data science. Vague 'data scientist' postings that list every skill under the sun usually mean the company doesn't know what they need.
Compensation Benchmarks
Data Scientist roles pay a median of $198,000 based on 808 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $165,000. This role's midpoint ($100K) sits 49% below the category median. Disclosed range: $70K to $130K.
Across all AI roles, the market median is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. For comparison, the highest-paying categories include AI Engineering Manager ($275,000) and AI Safety ($274,200). By seniority level: Entry: $97,880; Mid: $165,000; Senior: $227,400; Director: $247,800; VP: $250,000.
Aristocrat AI Hiring
Aristocrat has 1 open AI role right now. They're hiring across Data Scientist. Based in Las Vegas, NV, US. Compensation range: $130K - $130K.
Location Context
Across all AI roles, 15% (590 positions) offer remote work, while 3,217 require on-site attendance. Top AI hiring metros: New York (2,643 roles, $211,000 median); San Francisco (2,168 roles, $253,000 median); Los Angeles (1,792 roles, $191,580 median).
Career Path
Common paths into Data Scientist roles include Data Analyst, Statistician, Quantitative Researcher.
From here, career progression typically leads toward Senior Data Scientist, ML Engineer, AI Product Manager.
Start with statistics and SQL. Build a real analysis project on public data that demonstrates insight generation alongside model building. The market values data scientists who can communicate findings clearly to business stakeholders. If you want to move toward ML engineering, invest in software engineering fundamentals and production deployment skills.
What to Expect in Interviews
Interviews combine statistics, coding, and business acumen. SQL is almost always tested, often with complex joins and window functions. Expect a case study round where you're given a business problem and asked to design an analysis plan. Coding rounds focus on pandas, statistical modeling, and visualization. The strongest differentiator is how well you communicate insights to non-technical stakeholders during presentation rounds.
When evaluating opportunities: Good postings specify the data stack, the types of problems you'll work on, and the team structure. Look for companies that differentiate between analytics and ML data science. Vague 'data scientist' postings that list every skill under the sun usually mean the company doesn't know what they need.
AI Hiring Overview
The AI job market has 3,823 open positions tracked in our dataset. By seniority: 112 entry-level, 1,798 mid-level, 1,516 senior, and 397 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (590 positions). The remaining 3,217 roles require on-site or hybrid attendance.
The market median for AI roles is $200,100. Top-quartile compensation starts at $253,500. The 90th percentile reaches $307,500. Highest-paying categories: AI Engineering Manager ($275,000 median, 41 roles); AI Safety ($274,200 median, 55 roles); Research Engineer ($260,000 median, 434 roles).
Data Scientist roles remain in high demand, though the definition keeps shifting. Companies increasingly want candidates who can bridge traditional statistics with modern ML and LLM capabilities. The 'pure insights' data scientist role is consolidating into analytics engineering, while the 'build models' data scientist role is merging with ML engineering.
The AI Job Market Today
The AI job market spans 3,823 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (2,629), Data Scientist (322), AI Software Engineer (279). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (112) are outnumbered by mid-level (1,798) and senior (1,516) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 397 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (590 positions), with 3,217 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $200,100. Top-quartile roles start at $253,500, and the 90th percentile reaches $307,500. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $275,000 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,979 postings), Aws (1,190 postings), Azure (899 postings), Rag (839 postings), Gcp (726 postings), Pytorch (595 postings), Prompt Engineering (595 postings), Claude (540 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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