•Prototyping machine learning algorithms using cutting edge research
• Basic data cleansing and preparation
• Variable preprocessing/transformation
• Performing statistical tests
• Generation of graphical output
• Preparation of data sets for predictive modelling
• Robust predictive model building, validation and application
• Automation of statistical processes

What You Should Bring

Must-have

• Bachelor’s degree in a Math or relaited disciplines
• 3+ years’ experience in Python
• Working knowledge of R
• Good experience in variable transformation and data preprocessing techniques.
• Solid practical knowledge of different modelling techniques and a good grasp of the strengths and weaknesses of each. (Modelling techniques such as Logistic Regression, Decision Trees, Random Forest, Naive Bayes, Clustering, etc.)

Nice-to-have

• Practical experience of univariate and multivariate statistical analysis in R or Python with large data sets (millions of records and many tens or hundreds of independent variables)
• Experience in adtech
• Experience in agile software development
• Technologies: Elasticsearch, Clickhouse, Docker, Kubernetes, Google Cloud Platform
• Experience with various messaging systems, such as Kafka

What You Will Get Benefits

• Competitive compensation package
• Hundreds of millions of people see your work and use our products worldwide
• A transparent work environment
• Working in a team that inspires, and works with you to achieve industry-changing goals

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