At a Glance
- Tasks: Lead data science initiatives to enhance gameplay and boost player engagement in the gaming industry.
- Company: Join Aristocrat, a world-class gaming company focused on bringing happiness through play.
- Benefits: Competitive salary, innovative projects, and opportunities for professional growth.
- Other info: Collaborative environment with no travel expectations and a focus on data-informed decision-making.
- Why this job: Make a significant impact on the future of gaming with your advanced data expertise.
- Qualifications: PhD or MSc in a quantitative field and 5+ years of data science experience required.
The predicted salary is between 70000 - 90000 £ per year.
Are you ready to join a world‑class team and make a significant impact on the gaming industry? At Aristocrat, we aim to bring happiness to life through the power of play. We seek a Principal Data Scientist to help us reach our ambitious goals. You will have a vital role in enhancing gameplay, boosting player engagement, and improving business outcomes with your advanced data expertise. This opportunity allows you to work on innovative projects, collaborate with diverse teams, and guide critical initiatives that will develop the future of our leading games.
What You’ll Do
- Lead high-impact data science initiatives end‑to‑end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement.
- Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes.
- Lead the modeling framework for complex systems, guaranteeing comprehensive evaluation and monitoring of causal inference, uplift modeling, sequential decisioning, bandits/reinforcement learning, and forecasting.
- Partner with game teams to define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions.
- Define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks.
- Drive scalable experimentation with A/B and multi‑armed bandit testing frameworks, power analysis, variance reduction, and online‑offline alignment.
- Work together with Data Engineering, MLOps, and Game Tech teams to guarantee dependable data foundations, feature accessibility, and model deployment pathways.
- Build internal data products to improve the speed and quality of decision‑making, such as AB‑test calculators, decision tools, and automated insights.
- Provide technical leadership through building and code reviews, mentoring, and coaching, improving the standard of data science craft across the organization.
- Serve as a reliable collaborator throughout the organization, promoting data‑informed decision‑making and enabling business units to embrace data products.
- Translate complex analytical insights into actionable recommendations, presenting them to senior leadership to inform critical business decisions and encourage collaborators.
What We Are Seeking
- Education: PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent experience in practice.
- Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring.
- Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics.
- Hands‑on experience in software engineering, MLOps, and deploying machine learning models at scale.
- Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure).
- Industry knowledge: experience in gaming or digital entertainment is a strong plus.
Travel Expectations
None
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.
Data Scientist - Principal employer: Product Madness ??
Contact Detail:
Product Madness ?? Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Principal
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming industry, especially those at Aristocrat. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation showcasing your past projects, especially those related to data science and gaming. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your SQL, Python, and machine learning concepts. Mock interviews with friends can really help you nail it.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Scientist - Principal
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal Data Scientist role. Highlight your experience with machine learning, data science projects, and any relevant gaming industry knowledge. We want to see how your skills align with our goals!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the gaming industry and how your expertise can enhance player engagement. Let us know what excites you about working with us at Aristocrat.
Showcase Your Projects: Don’t forget to include specific examples of data or ML products you've delivered. We love seeing real-world applications of your skills, so share the impact your work has had on previous projects!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Product Madness ??
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in areas like machine learning and reinforcement learning. Be ready to discuss specific projects you've worked on, focusing on the methodologies you used and the impact they had on player engagement or business outcomes.
✨Showcase Your Collaboration Skills
Since this role involves working with diverse teams, be prepared to share examples of how you've successfully collaborated with others. Highlight any experience you have in partnering with game teams or other departments to translate analytical results into actionable insights.
✨Prepare for Technical Questions
Expect some technical questions related to SQL, Python, and big data technologies. Brush up on your coding skills and be ready to solve problems on the spot. Practising common data science interview questions can help you feel more confident.
✨Translate Insights into Action
Be ready to demonstrate how you've taken complex analytical insights and turned them into actionable recommendations. Think of a few examples where your insights influenced critical business decisions, and practice explaining them clearly and concisely.