Компания "WaveAccess"
Waveaccess is looking for a Data Scientist to join our team and contribute to innovative projects in the pharmaceutical domain. This role focuses on analyzing complex real-world datasets, designing impactful experiments, and presenting insights effectively to drive decision-making.
Responsibilities
1. Data Analysis:
- Perform advanced data analysis on pharmaceutical datasets to extract actionable insights.
- Apply statistical methods to validate hypotheses and ensure data quality.
- Utilize SQL to query and preprocess data stored in Snowflake for analysis and modeling.
2. Data Visualization and Presentation: - Create clear and compelling visualizations to communicate results to technical and non-technical stakeholders.
- Present findings in a concise and impactful way to support business decisions.
3. Experiment Design and Insights: - Develop methodologies for analyzing data and testing hypotheses.
- Collaborate with stakeholders to define project goals and provide data-driven recommendations.
4. Model Development: - Build and validate predictive models for tasks such as patient outcomes, drug efficacy, or operational optimization.
- Apply machine learning techniques to derive insights from structured and unstructured data.
5. Collaboration and Innovation: - Work closely with cross-functional teams to understand business needs and deliver tailored solutions.
- Stay updated on the latest trends in data science and bring innovative ideas to the team.
Requirements
- At least 3 years of experience in a Data Scientist role.
- Proficiency in Python and the ability to write clean, maintainable code.
- Strong skills in data analysis and statistical testing.
- Proven ability to visualize and present complex data effectively using tools like Matplotlib, Seaborn, etc.
- Experience with standard machine learning techniques and tools.
- SQL skills and experience querying large datasets, preferably in Snowflake.
- English proficiency at B2 level or higher.
Technologies - Programming Languages: Python
- Machine Learning Stack: Standard ML stack (scikit-learn, pandas, numpy)
- Visualization Tools: Standard visualization tools (Matplotlib, Seaborn, Seaborn)
- Database Skills: Basic SQL
- Version Control: Git
Preferred
- Knowledge of mathematical statistics and its application to data analysis.
- Experience working in the pharmaceutical domain or on real-world datasets.
- Familiarity with cloud platforms like AWS (EC2, S3).
- Understanding of Linux and command-line tools (bash, ssh).
- Experience in collaborating with business stakeholders and presenting findings effectively.
Nice to Have - Knowledge of Snowflake for advanced data handling.
- Experience with Docker and basic CI/CD workflows.
- REST API development experience.
- Exposure to other programming languages like Java or C++, R.
What We Offer
- Work in a dynamic international team.
- Employment according to labor law, 100% payment for sick leave and vacation.
- Opportunity for cooperation through individual entrepreneurship/self-employment.
- Participation in foreign and Russian projects.
- Health insurance with dental coverage.
- Necessary equipment for work.
- Corporate training programs.
- Broad opportunities for self-realization, professional and career growth.
- Democratic approach to processes and flexible start of the workday.