Senior Data Scientist

Senior Data Scientist

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyze user behavior and optimize marketing budgets for mobile games.
  • Company: Join Product Madness, a global leader in social casino gaming.
  • Benefits: Enjoy competitive salary, yearly bonuses, private medical, and generous leave policies.
  • Why this job: Make a real impact in a fun, inclusive culture with opportunities to grow your skills.
  • Qualifications: Degree in a quantitative field, strong SQL, and experience in Python or R required.
  • Other info: Hybrid work schedule with a minimum of 2 days in the office.

The predicted salary is between 43200 - 72000 £ per year.

You will join us as our new Senior Data Scientist who will help us optimise our user acquisition efforts within the mobile gaming space. Your primary focus will be in doing statistical analysis, building time-series models and using causal inference. You will be working closely with our User Acquisition team to advise them on optimal budget allocation.

What You’ll Do

An opportunity for you to work with large and complex data sets, with the autonomy to make a huge impact on the success of our hit mobile games. You will work as part of an experienced and highly skilled team of 20+ data scientists globally with opportunities to learn and develop.

What Will You Be Doing?

  1. Use simple analytics, causal inference, machine learning or any other techniques to understand our user behaviour and assess effectiveness of multiple marketing channels.
  2. Build or improve existing forecasting models. Based on your analysis/forecasting models, make recommendations for optimal allocation of user acquisition budget.
  3. Through dialogue with the UA team and data analysis, formulate questions and projects that lead to improved marketing effectiveness.

What We’re Looking For

  1. Degree in a quantitative field required.
  2. Strong SQL.
  3. Experience coding in Python or R.
  4. Experience in building forecasting models and/or doing causal inference.
  5. Ability to explain ideas and present results to non-technical audiences.
  6. Strong stakeholder management skills.
  7. Experience with marketing mix models and/or Bayesian time series would be a big plus.
  8. Strong theoretical understanding and experience with key classification and regression models is a plus.

By joining Product Madness you will have the ability to really enhance your career whilst developing your skills and experience. You will also be entitled to a generous benefits package that includes:

  • Highly competitive salary
  • Yearly bonus
  • Up to 8% matched pension
  • Private Medical
  • 25 Days Annual leave + Birthday off + Special occasion day + Bank Holidays
  • Christmas closure on top of your holiday allowance

Please note we work a hybrid work schedule with a minimum of 2 days a week in the office.

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.

So, what’s stopping you?

Our Values

  • People First
    We have the deepest respect for our people and their well being. We know they are exceptionally talented and will always have a choice. We want them to re-choose us every day. We are committed to building a culture where each person’s voice will always be heard and addressed.

  • MAD for More
    Always improving, innovating and never settling for the existing. We push all boundaries with courage and ambition to become the world’s best games company.

  • Champion Together
    We excel at what we do but yet remain humble and helpful to our teammates. We champion one another and hold each other to high standards without any egos.

  • Globally Inclusive
    We are all Equal – regardless of the language we speak, where we live, our gender, religion or culture we come from. We want to build a global home, where everyone has the equal opportunity to make an impact.

  • Customer Focused
    We always think from the customer’s perspective – be it players or internal customers. Improving their experience and joy is what drives us. Every client’s success is our big win!

Travel Expectations None #J-18808-Ljbffr

Senior Data Scientist employer: Aristocrat

At Product Madness, we pride ourselves on being an exceptional employer, offering a dynamic work environment where your contributions as a Senior Data Scientist can significantly influence the success of our mobile games. With a competitive salary, generous benefits, and a commitment to employee growth through learning opportunities within a global team, we foster a culture that values inclusivity and innovation. Join us in our London headquarters or remotely, and be part of a company recognized for its dedication to its people and their well-being.
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Contact Detail:

Aristocrat Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Scientist

Tip Number 1

Familiarize yourself with the latest trends in mobile gaming analytics. Understanding the specific metrics and KPIs that drive user acquisition in this space will help you stand out during discussions with the User Acquisition team.

Tip Number 2

Brush up on your SQL skills, as strong SQL proficiency is a must for this role. Consider working on real-world projects or datasets to demonstrate your ability to manipulate and analyze data effectively.

Tip Number 3

Prepare to discuss your experience with causal inference and forecasting models. Be ready to share specific examples of how you've applied these techniques to solve problems or improve marketing strategies in previous roles.

Tip Number 4

Highlight your stakeholder management skills by preparing anecdotes that showcase your ability to communicate complex data insights to non-technical audiences. This will be crucial in advising the User Acquisition team on budget allocation.

We think you need these skills to ace Senior Data Scientist

Statistical Analysis
Time-Series Modeling
Causal Inference
SQL
Python
R
Forecasting Models
Marketing Mix Models
Bayesian Time Series
Data Visualization
Stakeholder Management
Communication Skills
Problem-Solving Skills
Analytical Thinking
Machine Learning

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in statistical analysis, causal inference, and building forecasting models. Emphasize your proficiency in SQL and coding in Python or R, as these are crucial for the role.

Craft a Compelling Cover Letter: In your cover letter, explain how your skills align with the responsibilities of the Senior Data Scientist position. Mention specific projects where you've successfully used analytics to drive user acquisition or marketing effectiveness.

Showcase Your Communication Skills: Since the role requires explaining complex ideas to non-technical audiences, include examples in your application that demonstrate your ability to communicate effectively with stakeholders.

Highlight Team Collaboration: Discuss your experience working in teams, especially in data science or analytics contexts. Highlight any collaborative projects that led to improved outcomes, as this aligns with the company's values of being globally inclusive and championing teamwork.

How to prepare for a job interview at Aristocrat

Showcase Your Technical Skills

Be prepared to discuss your experience with SQL, Python, or R in detail. Highlight specific projects where you built forecasting models or conducted causal inference, as this will demonstrate your technical expertise relevant to the role.

Understand User Acquisition Strategies

Familiarize yourself with user acquisition strategies in the mobile gaming space. Be ready to discuss how your analytical skills can optimize budget allocation and improve marketing effectiveness based on data-driven insights.

Communicate Clearly with Non-Technical Audiences

Practice explaining complex data concepts in simple terms. Since you'll be working closely with the User Acquisition team, being able to present your findings clearly to non-technical stakeholders is crucial.

Emphasize Collaboration and Teamwork

Highlight your experience working in teams and your ability to collaborate effectively. Discuss how you can contribute to a culture of inclusivity and support within the team, aligning with the company's values.

Senior Data Scientist
Aristocrat
A
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