Data Scientist middle general + timeseries
Прямой работодатель Waveaccess ( www.wave-access.com )
Опыт работы от 3 до 5 лет
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.
Responsibileties:
- 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 the following conditions:
- Employment according to the Labor Code, 100% payment of sick leave and vacation
- Voluntary medical insurance (VMI) including dental coverage
- Work using flexible development methodology (Agile/Scrum)
- Flexible start of the working day
- Weekly seminars, participation in conferences and meetups, and paid certification exams.