Senior Data Scientist (offline)

Our partner, a European product company, is building an AI-based revenue management platform. We provide development and consulting services for the partner and its clients. We have a lot of challenges and constantly looking for individuals to join the team. You’ll be part of a cross-functional team that’s responsible for the full product development life-cycle, from conception to deployment.

We’re looking for a Senior Data Scientist who will be responsible for:

- identifying the business problems and finding the right data and methods to address them;
- building and validating analytical models;
- presenting the findings in a clear and informative way to all levels of management;
- converting large volumes of structured and unstructured customer data using advanced analytical solutions;
- using and fitting different mathematical and econometric models, develop descriptive and predictive models that deliver better decisions;
- turning analyzed data into actionable insights and business value;
- creating high-quality data visualizations;
- communicating effectively with different departments and roles (product managers, engineers) to discuss complex data-driven findings and technical matters;
- educating and training others on Data Science related matters;
- estimating, planning and coordinating the delivery of large projects following Scrum framework;
- creating Data Science solution architecture;
- proposing Data Science holistic solutions for customer problems.

We’re looking for someone who has an advanced level of spoken English and has:

- in-depth domain understanding (CPG, retail, or life sciences) and ability to acquire new domain knowledge;
- data visualization skills – experience with BI tools (Power BI, Tableau, Spotfire, etc.);
- familiarity with NLP/text mining (text quality and cleansing, similarity measures, fuzzy matching methodologies);  
- hands-on experience in delivering scaled solutions using data mining, statistics, or machine learning;
- programming experience (Python preferred);
- knowledge of data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), R, SAS, SPSS, MATLAB, etc. 
- data-focused applied mathematics (statistical analysis, machine learning);
- knowledge of RDBMS/SQL, Big Data stack, Spark / MLlib;
- proficiency with at least one of the cloud providers;
- experience with Data Science solutions productionalization;
- Master’s Degree in Economics, Computer Science, Math, Applied Statistics, or a related field.

Technology Stack:

- platforms: Linux, Windows;
- programming Languages: Python, R, SQL;
- python libraries: scikit-learn, pandas, NumPy, SciPy, matplotlib, seaborn, - Koalas;
- Big Data: Spark, Hadoop, Hive;
- cloud: Azure – Storage; Compute; Notebooks; Data Catalogs;
- CI/CD principles & tools: Jenkins;
- Version Control Systems: Git.

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Company website:
https://devrain.com/

DOU company page:
https://jobs.dou.ua/companies/devrain/