Data Analyst

We’re seeking a self-motivated data scientist to deliver owerfully insightful data to power our systems and solutions. Our ideal team member will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find. As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will explore data and market to extract key indicators and trend directions.

Responsibilities:

• identify relevant data sources and sets to mine for business needs, and collect large structured and unstructured datasets and variables;
• devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy;
• analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers;
• communicate analytic solutions to stakeholders and implement improvements as needed to operational systems.

Requirements:

• Bachelor’s degree in statistics, computer science, applied mathematics, or related discipline;
• 0-3 years experience in data science;
• language skills: English and/or Japanese (business level);
• proficiency with data mining, mathematics, and statistical analysis;
• advanced pattern recognition and predictive modeling experience;
• experience with Excel, SQL, and programming languages (Python, Java, R/SAS);
• comfort working in a dynamic, research-oriented group with several ongoing concurrent projects.

We offer:

Compensation package:

• official job placement in accordance with the Russian Federation Labor Code;
• stable salary (twice a month payment), overtime compensation, regular assessments and salary reviews;
• yearly bonus;
• extra bonuses to holidays and special events;
• interest mortgage compensation;
• interest-free loans.

Work organization:

• full project employment;
• private medical insurance;
• compensation of fitness costs and sports grounds rent;
• relocation benefits to accommodate initiatives.

Education benefits and career:

• educational programs;
• hard-skills courses and certificates;
• english language courses;
• opportunity to take part in the cadre programs (e.g. tech-up and management pool).