Data Scientist - London
London, England, United Kingdom
Product Madness
Product Madness is a leading social casino operator acquired by Aristocrat in 2012.At Product Madness you’ll join one of the fastest growing mobile game development studios, ranked among the top 30 in the world. Since our start-up days, we’ve tripled in size and stacked up awards for our chart-topping games such as Lightning Link and Heart of Vegas. How did we get here, you ask?
We follow our creative intuition focusing on quality and content to make world class games we’re passionate about. We know if we love the final product, our players will too.
We design games for all kinds of players, so we need all kinds of people creating them. We’ve hired leading talent from over 30 nationalities and actively seek out those who bring something.
Role
We are looking for a Data Scientist who will help us optimise our user acquisition efforts. Your primary focus will be in doing statistical analysis, building time-series and machine learning models. You will be working closely with our User Acquisition team to advise them on optimal budget allocation and helping them devise strategies to improve user targeting.
What Will You Be Doing?
- Use various statistical techniques/models to assess effectiveness of multiple marketing channels
- Based on your analysis/forecasting models, make recommendations for optimal allocation of user acquisition budget across countries, channels and platforms
- Analyse behaviour of our players to suggest user segmentation that will improve our UA targeting and user journeys
- Translate business needs of our User Acquisition team to technical requirements
- Present results of your analysis to business stakeholders
- Pro-actively suggest further ways to improve our marketing campaigns optimisation
Requirements
- Degree in a quantitative field required
- 2+ years working experience (you can count time spent in research environment, e.g during PhD, towards that)
- Strong SQL
- Experience coding in Python or R
- Experience in statistical inference and building forecasting/predictive models
- Ability to explain ideas and present results to non-technical audiences
- Strong stakeholder management skills
- Experience with Bayesian modelling will be a plus
Benefits
- Up to 5% employer pension contribution with Aviva
- Private Health insurance with Vitality
- Full dental insurance
- Life Insurance
- Long term disability insurance
- 25 days’ holiday
- Employee assistance programme
- Bonus scheme
- Season ticket loan
- Personal development & career plans
- Study assistance program
- Moving house day
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bayesian Machine Learning ML models PhD Python R Research SQL
Perks/benefits: Career development Health care Insurance Salary bonus Startup environment
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