Senior Data Scientist

3 Months ago • All levels
Data Analysis

Job Description

As a Senior Data Scientist, you will lead projects and analyze diverse datasets within a product-focused games data science team. Responsibilities include translating business problems into measurable analytical components, collecting and measuring data, analyzing big data, performing statistical analysis, defining best practices, and collaborating with business leaders. You will write SQL, translate models into code, make recommendations, and mentor junior data scientists. The role requires a balance of fast-paced requirements and in-depth analysis. Product Madness, part of the Aristocrat family, creates leading social casino games and promotes an inclusive culture.
Good To Have:
  • Experience with A/B testing.
  • Experience with machine learning and modeling.
Must Have:
  • Translate business problems into analytical components.
  • Analyze large datasets.
  • Perform statistical analysis.

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You will join us as our new Senior data scientist within a highly experienced and talented data science team. You will be given the autonomy to lead on projects and will gain experience from working with a large and diverse set of data. This role sits within our product focussed games data science team.

What will your role involve?

  • Translates ambiguous business problems into measurable analytical components. 
  • Implements methodologies to generate, collect and measure data for business use. 
  • Uses a big data environment for analysis and works with engineers in the collection and curation of game data. 
  • Works with unstructured/semi structured data to extract useful analytic measures. 
  • Performs statistical analysis on experimental or business data to validate and quantify trends or patterns. 
  • Defines best practices for analysis and visualization.
  • Collaborates with key business leaders to understand business problems and leverage analytic tools and processes for problem solving.
  • Writes advanced SQL for exploratory analysis.
  • Translates computational solutions/statistical models to implementable code. 
  • Constructs recommendations and strategic/tactical plans based on business data and market knowledge. 
  • Leads or collaborates with a team of data scientists, business intelligence analysts or big data engineers on analytical projects. 
  • Capable of both fast paced business requirement and long term deep-dive analysis and finding the proper balance between the two.
  • Mentors junior data scientists.

What We're Looking For

  • Bachelor/Master/PhD degree in a relevant technical field, or equivalent experience in a relevant role. 
  • Extensive experience solving analytical problems using quantitative and qualitative approaches. 
  • Experience of A/B Testing
  • Worked with large data sets, moving computation towards data layer. 
  • Used machine learning and modeling.
  • Experience using visualization techniques to record and communicate findings.

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?

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.

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