Data Scientist middle general + timeseries and recommender systems

WaveAccess 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.

Responsibilities:
- ML Integration: Develop, fine-tune, and implement machine learning models using 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 deploy them in production
- Communication: Extract requirements from business stakeholders, present results, and discuss further improvements

Requirements:
- At least 4 years of experience in a Data Scientist position
- Proficient in English (B2 level or higher)
- Deep knowledge of classic machine learning approaches
- Solid Python skills
- Experience in presenting achieved results
- Strong SQL skills
- Familiarity with Git

Preferred Qualifications:
- Solid experience with timeseries data and models or recommendation systems
- Experienced in mathematical statistics
- Experience with AWS (EC2, S3)
- Code review experience
- Proficiency in Linux, Bash, and SSH
- Experience in written and verbal communication with business stakeholders
- Familiarity with the full development cycle
- Experience with medical data

Nice to Have:
- Proficiency in R language
- Experience with RestAPI development
- Familiarity with tools such as Truefoundry, Haystack, DataIku, H2O, Snowflake, Docker
- Understanding of CI/CD processes
- Knowledge of Java/C++ or other programming languages

We offer:
- Work in a dynamic international team
- The opportunity to collaborate through individual entrepreneurship/self-employment for colleagues outside of Russia
- Participation in foreign projects
- Necessary equipment for work
- Corporate training programs
- Wide opportunities for self-realization, professional development, and career growth
- A democratic approach to processes and flexible start times
- The option to relocate between our international offices.