Position: Data Scientist
Company: Viseven
Experience required: 2y
English level: upper

**Key responsibilities:**
Identifying business problems
Search for the right data and methods for solving them
Construction and testing of analytical models
Preparing reports and presentations to convey the understanding and meaning of data
Building and optimization Data Lake solutions
Explaining and documenting the results of analysis or modeling to both a technical and non-technical audience
Participation in the planning of team tasks

**Required Skills & Knowledge:**
3+ years of experience in data mining, statistics, or machine learning
Strong knowledge of classical algorithms and data structures
Strong analytical skills, ability to analyze big data, provide new innovative ideas
RDBMS/SQL knowledge
Programming experience (Python preferred)
Data analysis tools and libraries such as Python (NumPy / SciPy / scikit-learn / pandas / matplotlib), R, SAS, SPSS, MATLAB, etc.
Experience with Data Science solutions productionalization
Experience in building Data Lake solutions
Decent communication skills
Ability to solve problems
Upper-Intermediate English level

**Will be a plus:**
Proficiency with at least one of the Cloud providers
Non-relational databases knowledge

**What we provide:**
We understand that our team members are essential to making our goals a reality, so we value and empower them to share their vision. And we reward this kind of passion with highly competitive compensation and exceptional benefits, such as:
Competitive compensation and regular performance-based salary and career development reviews
Passionate experienced team, friendly atmosphere
Professional and career growth
Paid time off — 18 business days per year (20 business days after 2 years of cooperation)
Non-documented sick leave — 4 business days per year
Documented sick leave — 20 business days per year
Family leave — 3 paid business days in case of marriage, childbirth, or bereavement
Comprehensive medical insurance
English learning courses
Opportunities to participate in professional forums and conferences
Regular corporate events and team-buildings
Enjoyable working environment: comfortable and fully equipped office and a possibility to work from home