Needed Skills:
4+ years of overall experience in the area of statistical modelling and machine learning
Deep knowledge of SAS. Other tools like SQL, R, S-plus, STATA and other data management tools will be an asset
Experience in any of the domains: Retail, Consumer Products marketing, Network, Supply Chain, F&A, Procurement, Life Science, eCommerce, Banking, Finance, Health Care, Human Resources, Digital marketing
A solid grounding in applied statistics including expertise in at least one of the following is a must: Reliability models, Markov Models, Stochastic models, Bayesian modeling, classification models, cluster analysis, neural network, non-parametric methods, time series analysis, forecasting and multivariate statistics
Extensive experience solving business problems using quantitative approaches
Experience in building and deploying business relevant analytics assets
Ability to deal with stress of competing priorities and diverging interests within the same immediate time frame
High energy level and be able to effectively work with various cross functional teams
Excellent English communication skills (written & spoken)
Responsibilities:
Use appropriate statistical techniques to develop appropriate analytic solutions for informing customer acquisition and customer retention strategies
Develop appropriate methodology for analyzing and interpreting results from product features A/B testing
Work on multiple analytic projects such as user segmentations, user engagement to purchase funnel analysis, user life time value analysis
Provide data, insights and reporting support to various teams
Drive the collection of new data and the refinement of existing data sources
Prepare data for statistical analysis and machine learning algorithms
Maintain and advance analytic database. Conduct periodic data QA
Working with technical and non-technical customers to design experiments and communicate statistical results
Leading training and informational sessions on statistics
We offer:
The ability to use your knowledge of foreign language on a daily basis at work (we serve our Clients in almost 30 foreign languages)
Experience with a range of Clients and technology solutions which provides professional relevance
Operating according to Lean Six Sigma philosophy
Collaborating and learning from diverse and talented colleagues helps you “raise your game”
Trainings and development tailored to help you achieve your potential
New Joiners Programme including trainings
Opportunity to engage in Corporate Social Responsibility initiatives
We also think about your social life, you will be able to take part in different initiatives like Book Club, International Cuisine Club, Runners Club, family events, cultural meetings, photography classes, climbing, soccer, swimming and many others
Social benefit packages including: private medical care, Sodexo vouchers, Benefit sport club cards, life insurance
Friendly work atmosphere in multicultural environment
We are looking also for Junior positions ! ! !