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Data Scientist middle general + timeseries

DevelopmentAccess is looking for a Data Scientist to join our team and contribute to innovative projects in the pharmaceutical domain. This role involves working with real-world pharmaceutical data and leveraging the power of Machine Learning to drive impactful insights and solutions.

We work with leading companies, creating reliable software and a clear, high-quality user experience for them. Our solutions transform the businesses of our clients and partners.

ML Integration: Develop, fine-tune, and implement ML models with medical data Data Analysis: Perform advanced data analysis on real-world pharmaceutical datasets to extract meaningful insights and support decision-making processes R&D: Research new areas and approaches, develop meaningful solutions and ship them in production Communication: Extract requirements from business, present your results and discuss further improvements

At least 4 years of experience in a Data Scientist position English - B2 and higher Deep knowledge of classic ML approaches Solid Python skills Experience in presenting achieved results

Technologies: Python Timeseries ML and statistics stack Solid SQL skills Git

Preferred: Solid experience with timeseries data and models Experienced in mathematical statistics Experience with AWS (EC2, S3) Code review experience Linux + bash, ssh  Experience in written and verbal communication with business stakeholders Experience with full development cycle Experience with medical data

Nice to have: R language RestAPI development experience Truefoundry Haystack DataIku H2O Snowflake Docker Understanding of CI/CD Java/C++/Other languages

Employment according to the Labor Code, including 100% payment of sick leave and vacation Medical coverage (DMS) Democratic leadership, flexible start of the working day Corporate training programs Abundant opportunities for self-realization, professional and career growth.