Data Scientist/Analyst

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.