Responsibilities
- Apply scientific, mathematical and statistical methods to build ML models
- Perform alpha, execution research and optimize model’s performance
- Explore existing and new datasets to design features and find insights
- Develop ML models full cycle - from hypothesis to deployment and maintenance
Basic qualifications
- STEM degree from one of top-tier universities OR proven track of success as Data Analyst/Researcher/Data Scientist
- Advanced understanding of probability, statistics, math and algorithms
- Deep expertise in a field of Machine Learning
- Experience with ML predictive modeling tools, libraries and workflow platforms
Preferred qualifications
- Personal achievements such as ICPC, IMC, IOI, codeforces red+, Kaggle, etc.
- Published articles in a field of Data Science/ML (Q1-Q2)
- Pet-projects or open-source repositories dedicated to trading, finance or quantitative field
Benefits
- Result-oriented bonuses along with extraordinary salary
- Transparent processes and lack of red-tape
- Competitive environment with an opportunity to make decisions and change the company
- One of the best level of expertise on the market
Tags & focus areas
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