Data Scientist - Principal Investigator
wappier
Greece
πριν από 16 μέρες

Description

As a Data Scientist at wappier you will develop & investigate hypotheses, structure experiments, build mathematical models and develop machine learning methods / algorithms that will help wappier products for mobile game publishers become a global success story.

We are looking for a sharp, highly quantitative individual who has a passion for data, machine learning methods & mathematical modeling and experience on the job of at least 4 years.

We are building a unique technology platform dedicated to the operation and real time optimization of free to play mobile games.

We are changing the gaming industry! You will develop and deliver methods and tools for optimizing the performance of mobile games and contribute to the development of the wappier product line.

RESPONSIBILITIES

  • As a principal investigator you will be responsible for a) validating the quality of the data and results of the analysis / proposed methodology by wappier data sciencee team before these are moved into production, b) steering wappier data science to deliver our internal and customers roamap, c) communicating with customers and presenting results and applied methodology
  • Creating, testing and developing supervised machine learning algorithms such as NLP, Bayesian, Classification, Logistic Regression, Decision Trees, Random Forest, Adaptive Boosting, Support Vector Machines, ARIMA / ANOVA Models, according to the needs of wappier customers and product platform
  • Creating unsupervised machine learning algorithms such as K-means, Hierarchical clustering, in order to ensure targeted and personalized communication strategy through specific marketing campaigns
  • Designing and implementing statistical methodologies for quantitative analysis of large datasets
  • Working on designing & automatizing analyses with optimized data structures on high-performance columnar databases and visualization tools.
  • Apply concepts such as probability, statistics, modeling, percentages, ratios, and proportions to practical solutions

  • Co-operating with technical teams in order to include machine learning techniques in the product development
  • Co-operating with stakeholders of the project (project managers, presales and sales team) in order to assist data driven decision making and presented proposals to client in meeting and workshops
  • Requirements

  • Cool, smart, funny & professional with a focus is on getting the job done
  • Graduate with a post-doc degree (MSc or PhD) in Statistics, Mathematics, Physics, Computer Science, Engineering or other quantitative field is required
  • Good knowledge of Machine learning concepts (classification, clustering and other algorithms) and its hands on experience with libraries like (scikit-
  • learn, pandas, numpy etc.)

  • Having working experience and academic interest in dealing with problems in Machine Learning (for example churn prediction) and data mining (basket analysis).
  • At least 4 years working experience with data science related project in commercial environment
  • Experience working with huge data sets and at least in one of cloud based environments (amazon or google cloud or microsoft),
  • Hands-on experience with handing data from various sources Oracle, PostgreSQL, MongoDB and Excel
  • Experience with big data ecosystem libraries like spark etc would be an advantage
  • Good coding skills in Python and / or R and its related libraries. This would be having more importance considering our requirements and goals that we are having ahead.
  • Coding in other programming languages is an advantage

  • Hands-on experience with handing data from various sources Oracle, PostgreSQL, MongoDB and Excel
  • Strong organizational, analytical, and time management skills
  • Excellent command of English, both written & oral (all our reporting is in English)
  • Ability to interpret business requests & communicate findings in a user-friendly manner
  • A tendency to stay current with the industry’s best practices and trends
  • Passion for data science
  • THE IDEAL CANDIDATE WILL ALSO HAVE

  • Experience in Visualization platforms (Power BI, Tableau, Excel) is desirable
  • Real world Experience with data ETL processes
  • Benefits

    At wappier we are growing our team with the vision of having top performers that contribute directly to the growth of the company.

    We offer :

  • Personal and dependent private health insurance plan
  • €500 annual training budget allocated to certifications and courses of your choice
  • Morning and afternoon bus transfers between Plakentias metro station and office
  • Stock option incentive plan
  • Growing list of XBOX titles available on a 175'' screen
  • Ping Pong table and Pizza Fridays
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