Senior Data Scientist (Russia)

You are a brilliant data scientist with excellent analytical and modeling skills. You work well on teams and like responsibility. Your Python is solid. You’re comfortable owning complex data science projects end-to-end, from understanding the business problem, through data preparation and modeling, to building beautiful reports. You are excited by the idea of applying cutting edge data science and machine learning tools to automate fundamental investing decisions. You’ve had sufficient exposure  to western business practices to communicate effectively with the head office and peers in the field in  English. You may find your dream job as a Senior Data Scientist on the team!

You are a brilliant data scientist with excellent analytical and modeling skills. You work well on teams and like responsibility. Your Python is solid. You’re comfortable owning complex data science projects end-to-end, from understanding the business problem, through data preparation and modeling, to building beautiful reports.  You are excited by the idea of applying cutting edge data science and machine learning tools to automate fundamental investing decisions. You’ve had sufficient exposure  to western business practices to communicate effectively with the head office and peers in the field in  English. You may find your dream job as a Senior Data Scientist on the team!   

Responsibilities: 
    1. Understand high-level business objectives set by the HQ and deliver research results according to priorities set by the team. 
    2. Work closely with a small but very capable and motivated team of data scientists, engineers and portfolio managers. 
    3. Maintain code used in research and ensure results used in reports are reproducible by others on the team. 
    4. Consistently deliver high-quality insights on time and within budget. 
    5. Provide ongoing feedback to the HQ, help maximize value derived from investments in research projects.   

Requirements: 
    1. PhD in mathematics, statistics, computational science, computer science or similar field.
    2. 5+ years of professional hands-on data science experience. 
    3. Mastery of modern data science software tools and practices (SQL, numpy, Pandas, scikit-learn, Jupyter notebooks). 
    4. Hands-on familiarity with common software engineering practices and tools (git and github, pull requests and code reviews, unit and integration tests, continuous integration).
    5. Working knowledge of posix-like environments (Linux/macOS, bash, ssh). 
    6. Excellent verbal and written communication in English and Russian.
    7. Hands-on familiarity with AWS cloud technologies for data science a plus (e.g. S3, Athena/Redshift, SageMaker).

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