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Data Scientist - Product Development

We are looking for candidates that are eager to develop their competences in the field of applied Data Science. In your role, you will have a unique opportunity to test your machine learning skills by helping out with development of a ML-driven applications aimed for our clients in,  predominantly, the Financial Services (FS) sector.

Role:

You will take on a Data Scientist role in a local product development team, within the Data Analytics department, responsible for the analytical engine of one of our applications delivered on the US market. Your responsibilities will include: 

• Implementing DS functionalities in the application back-end, supporting their integration with other services;

• Researching and introducing big data solutions to DS back-end in Spark with Python;

• Developing ETL layer on 1st and 3rd party data models;

• Participating in product development cycle activities: defect management, resolution process, Git repository maintenance, new feature design and implementation ;

• Maintaining documentation (technical descriptions ,user guides, business prospectus);

• Collaborating with international and intercultural teams;

• Working in Agile software development model.

It is expected that you will grow professional expertise through seeking knowledge, skills and hands-on experience in Data Science (through on-the-job learning, external events, conferences and training) as well as share your acquired knowledge with junior staff. 

Candidate’s profile:

• At least 1 year of professional experience in Data Science - preferably on projects with FS sector or in DS departments in FS sector;

• Good knowledge of SQL;

• Good knowledge of Python;

• Experience with analysis of large data sets and good knowledge of machine learning algorithms;

• Last-year master student or graduate (preferred Math, Computer Science, Economics, Physics, Operational Research or related);

• Interest in Data Science and willingness to learn new tools and solutions;

• Good command of the English language;

• Strong interpersonal and communication skills - essential in day-to-day cooperation with clients and the team.

Additional assets will be:

• Knowledge of Big Data Ecosystems: Hadoop, Azure, Spark (PySpark/Scala, MLlib, GraphX);

• Experience with app deployment technologies (Docker, Kubernetes).

Our offer:

• Opportunity to develop skills in statistical modelling embedded in business reality;

• Gaining knowledge and experience in the practical use of technology centered around Big Data on projects carried out for companies from different sectors;

• Dynamic, project-driven work environment;

• Excellent working conditions and a friendly working atmosphere;

• Attractive compensation with additional benefits package.