Data Scientist middle general + (timeseries and recommender systems) (в архиве)

10 Сентября

Партнерские Вакансии

Компания "WaveAccess"

Description:
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

What we offer:
- 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.