Data Scientist

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Our Sr. Data Scientist will design prototype classifiers and problem-solving algorithms. This role will spend about 50% of the time within R&D. You will be responsible for creating innovative algorithms that ingest the unstructured and semi-structure language information available to the system and turn this information into actionable services.

Key Duties: 

• Learn from Subject Matter Experts (financial crime, machine learning, software architecture and more)
• As a member of the data science team, you will research and develop new methodologies and techniques to improve the overall effectiveness of risk management. Key part of the job function is to mine and analyze massive amounts of unique internal and external data to gain deep business knowledge and insight on customer activity and behaviors and their relationships with fraud, and other types of behaviors.
• Work with technologically fluent management, who understand the hardships of data science and software development from experience
• Design and analyze experiments to verify product hypothesis and direction.
• Maintain strong autonomy with no micromanagement
• Set worldwide standards for identifying money laundering and terrorism financing events
• Approach the problem with any solution that works, be it machine learning or otherwise
• Hone your NLP and text analysis skills to a master level
• Assist sales team in providing proof of value concepts to prospective customers.

Modern Technology Stack: 

• Work methodology: Scrum
• Main technologies: Python 3, SQL,
• Tools used: Flask, Pandas, PySpark, nltk, gRPC, Jupyter Notebooks, Docker
• Build server: Jenkins, GitLab
• Database: PostgreSQL
• Code reviews: GitLab
• Issue tracking tool: Jira
• Knowledge repository: Confluence, Google Drive
• Operating system: Linux
• Freedom to choose tools: Yes

Requirements: 

• Expertise in Python, Pyspark, NLP Libraries 
• Statistics and machine learning. 
• Translate complex, technical concepts into actionable, high-level business ideas
• Linux environment (Bash) and continuous integration will get you extra points

Benefits

• Paid time off
• Employee Share Options
• Wellness Stipend
• Location: Fully remote forever (with a possibility to work from a co-working office)
• Career growth: Promotion and great development opportunities within the organization
• Monthly Team Building events