Senior Data Scientist

Why we are recommending

• EPAM is a big player in the IT market. Working here will give you a large number of professional challenges, experience and development.
• The company offers work with some of the world's largest and most innovative banks, investment banks and wealth management institutions. Your solutions will contribute to the development of these industries.

Responsibilities

• Identifying the business problems.
• Finding the right data and methods to address them.
• Building and validating analytical models.
• Presenting the findings in a clear and informative way.

Requirements

• 3+ years of experience in data mining, statistics or machine learning.
• 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.
• Big Data stack; Spark / MLlib.
• Proficiency with at least one of the Cloud providers.
• Experience with Data Science solutions productionalization.
• Bachelor’s/Master’s Degree in Computer Science, Math, Applied Statistics or a related field.
• Aptitude for problem solving.
• Decent communication / presentation skills (including working English fluency).

Company offers

• Competitive compensation depending on experience and skills.
• Work in enterprise-level projects long-term.
• Full-time remote work (you can work from anywhere you are).
• Health Insurance.
• Unlimited access to learning courses (LinkedIn learning, EPAM training courses, English regular classes, Internal Library).
• Community of 30,100+ industry’s top professionals.

Hiring process

You will have 4 stages:

• General interview with a recruiter.
• Technical home task.
• Online technical interview.
• Management interview.

Useful link

• Article from EPAM's blog on Habr "How to use Liquibase": link.
• Article from EPAM's blog on Habr "Data structures in Java. Useful helper class methods": link.