Data Scientist – £50,000- £70,000 (€40,000 – €60,000) plus benefits – London or Barcelona (hybrid)
A leading mobile gaming company is looking for a technical, data-driven Data Scientist to join their team due to high demand.
Your primary focus will be doing statistical analysis and building time-series and machine learning models. You will be looking at the behaviours of their players, user segmentation and will work closely with the User Acquisition team, to advise them on optimal budget allocation across countries, channels, and platforms and help devise strategies to improve user targeting.
Key Benefits for a Data Scientist
- Salary up to £70,000/ €60,000 plus benefits and bonus
- The opportunity to work as a Data Scientist in a leading social gaming company
- A wide range of data science engagements, including machine learning, statistical/mathematical modelling and predictive analytics etc
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 advantageous
Tech Stack
- Analytics: Python (pandas, scikit-learn, pymc3, statsmodels, bokeh, mpl), SQL, Jupyter notebooks or R
- Big Data: AWS Redshift, Apache Spark, S3
- ETL: python, SQL, Spark, Scala, MongoDB
- Data viz: D3.js, re:dash, Tableau, bokeh
Benefits
- 10% Bonus
- 25 days holiday + Barcelona bank holidays & Christmas
- Up to 5% employer pension contribution with Aviva
- Private Health insurance with Vitality
- Full dental and Life Insurance
- Long term disability insurance
Please apply below or contact Natasha U’Ren-Ashdown at [email protected] or call +44 7825 006435 for a confidential chat.
KEYWORDS: Statistics/ Bayesian/ Hypothesis/ Testing/ Machine Learning/ R/ SQL/ Python/ Data Science/ Forecasting/ Predictive Analysis
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