A Data Scientist plays essential role in big data  by focusing on solving business problems and delivering measurable outcomes using various leading edge algorithms to process massive streams of data analyze data sets and finds subtle patterns in data that have never been seen before.

A Data Scientist role combines technical knowledge with business oriented thinking and strong communication skills which are required to convey complex analytical results to business sponsors of big data analytics programs.

Responsibilities:

•    You will benefit from knowledge-sharing and support of established data science communities of practice and influenced by the most innovative leaders in big data analytics with international experience from global accounts.
•    You will tackle the greatest business challenges and unique analytical problems of our clients - and, in particular, those that depend upon non-traditional Analytics (like path, graph and time-series Analytics) and/or non-traditional data (like weblog and machine-log data).
•    Clarify and translate business problems into technical requirements and design analytical solutions using various data science / advanced analytics / data mining techniques.
•    Work closely with client teams to generate insights, diagnose problems, and provide information for business and product decisions by transforming very large data sets into actionable information.
•    Perform both regular and ad-hoc analysis leveraging a wide array of data tools and techniques from open source to proprietary.
•    Interpret and document the analysis and results and communicate the information effectively to the client.
•    Actively participate on knowledge sharing process within the regional analytics team and the entire company.

Qualifications

•    Exploration Base skills in statistics, algorithms, machine learning, and mathematics. A solid grounding in these principles is required to actually extract signals from the data and build solution with it.
•    Communication Making the results real by making data available to users. This involves communicating the results of analysis clearly and effectively to both business and technical users in presentations. Lead the discussion and guide the integration of the data visualization layer with the underlying platform to best showcase the output of the data. Upper-intermediate English language.
•    Flexibility Ability to work effectively as a real team player, ability to collaborate with international teams.

•    Experience 3 years of experience on relevant analytical projects with consultancy characteristics. Especially have a proven experience driven analytical cases in banking or financial industry. Familiarity with large data sets and distributed computing (e.g. Hadoop, Spark, Hive, etc.), familiarity with advanced SQL and experience with at least one programming language, preferably Python, R, Java or Scala. While advanced coding techniques are not required, the candidate needs to be aware of the open source libraries and packages available.

Complementary Skills

•    PhD/Masters/bachelor's degree in Statistics or Computer Science, and / or relevant work experience is a plus.
•    Familiarity with implementation and production deployment of a hi-computing deep learning techniques.
•    Knowledge across multiple industries is a plus.
•    Ability to initiate and drive analytical/data science projects to completion with minimal guidance is a plus.
•    Ability to innovate, to creatively design solutions and to automate processes is a plus.
•    Knowledge of Architecture Principles, Design Patterns, and Implementation Alternatives in big data analytics environments is a plus.