At a Glance
- Tasks: Lead impactful data science projects and develop machine learning solutions for player engagement.
- Company: Join Product Madness, a global leader in social casino gaming.
- Benefits: Enjoy a competitive salary, flexible work options, and career growth opportunities.
- Other info: Be part of an inclusive culture that values your growth and creativity.
- Why this job: Make a real difference in the gaming industry with your data expertise.
- Qualifications: PhD or MSc in a quantitative field and 5+ years of data science experience required.
The predicted salary is between 43200 - 72000 £ per year.
Remote type: Hybrid
Locations: London, United Kingdom
Time type: Full time
Posted on: Posted Today
Job requisition id: R0020855
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.
Why Product Madness
As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.
We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category.
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: Aristocrat Leisure
At Product Madness, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that prioritises collaboration and innovation. Our London headquarters provides a vibrant environment where team members can thrive, with ample opportunities for career growth and development, all while contributing to the creation of top-grossing games that bring joy to millions. Join us and be part of a world-class team that values your contributions and supports your professional journey.
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We think this is how you could land Data Scientist - Principal
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We think you need these skills to ace Data Scientist - Principal
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
