Mr Who?

MrQ - we're an awesome, award winning online casino launched in 2018. We're big on tech, big on performance and most of all - big on fun. Over the years, we have experienced explosive growth - which means we need more rock stars to join our quest for total world domination.

MrQ is looking for a highly skilled Data Scientist to join our growing Revenue Operations team. RevOps is the Architect of the company's revenue engine and we use maths, statistics data and ML to ensure revenue is protected, predictable and maximised. This role has direct exposure to commercial programmes across every part of the business and we are looking for the highest calibre of talent.

You will own end-to-end research projects, apply advanced statistical and machine learning techniques to create systems, data-products and algorithms with measurable business impact.

The ideal candidate is technically excellent and commercially sharp, equally comfortable building predictive models as they are re-framing ambiguous business problems, communicating insight, and guiding strategy on greenfield initiatives.

Experience in online gaming, gambling, or another fast-paced digital industry is a strong plus.

What You Will Do

Apply statistical modelling to problems across marketing, product analytics and finance.
Design, develop, and deploy predictive and machine learning models across areas such as segmentation, uplift, value prediction, personalisation, and content optimisation.
Interpret experiments (A/B and multivariate) and understand causality.
Communicate complex analyses and model outputs to non-technical stakeholders in a clear and actionable way.
Stay up to date with research, tools, methods, and technologies, bringing fresh ideas into the team.

What We're Looking For

Master's degree (or PhD) in Data Science, Statistics, Mathematics, or related field.
5+ years of experience in applied data science, ideally in digital, gaming, gambling, or another high-growth consumer-facing industry.
Expert knowledge of R or Python for statistical modelling and machine learning.
Excellent SQL skills for querying and transforming large datasets.
Experience with experimentation frameworks (A/B testing, Bayesian methods, causalinference).
Deep knowledge of supervised and unsupervised learning techniques (e.g.,regression, classification, clustering, recommender systems).
Ability to translate business challenges into data science problems, and data science solutions into business value.
Strong communication skills and proven experience influencing senior stakeholders.

In 3 Months

Develop a deep understanding of our data ecosystem and key business drivers.
Deliver at least one impactful model or analysis project (e.g. marketing behaviour predictor, value segmentation, or marketing uplift analysis).
Identified 1-2 quick-win opportunities for experimentation or optimisation.
Set up monitoring and validation frameworks for your models or analysis to ensure robustness.

In 12 Months

Built and deployed multiple models that materially improve customer acquisition,retention, or value identification, each with measurable ROI.
Introduced and championed new methodologies (e.g. causal ML, uplift modelling).
Partnered with stakeholders to embed ML products into key business workflows and decisions.
Helped shape the RevOps functions research cadence and ways of working.

What We Offer

At MrQ, we take pride in providing an array of fantastic benefits to our valued team members. Enjoy a competitive salary package that recognizes your hard work and dedication. Need some extra time off? We've got you covered with additional leave days, and we believe in celebrating life's special moments, including your birthday, with dedicated birthday leave. Family matters to us, too, which is why we offer a generous four-week parental leave. Your well-being is our priority, supported by international health and life insurance. Stay motivated with wellness incentives and seize opportunities for personal and professional growth with our growth allowance. Embrace a flexible working environment that caters to your needs, and join our friendly and multinational team, where collaboration and camaraderie flourish. At MrQ, we're committed to ensuring that your experience with us goes beyond just a job - it's a fulfilling journey with a supportive community.

We are committed to fostering a workplace that values and celebrates diversity. We welcome individuals of all backgrounds and experiences, and we believe that a diverse and inclusive environment leads to innovation and success. We actively promote equal opportunities for all employees and strive to create a space where everyone's voices are heard and respected. Join us in our journey to build a truly inclusive workplace where every person can thrive and contribute to our collective success.

To help our recruitment team work efficiently, please apply to the role that best matches your skills and experience. Our team will consider you for other similar roles as well!

Lindar

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