Raw Ventures is a venture capital fund that backs and supports technology-driven startups. We work closely with founders to build and scale innovative companies across sectors including media tech, health tech, and agri tech, while remaining open to opportunities across the broader technology landscape. We have recently launched an AI Advisory arm, where the new team members will join. We are looking for a mid-to-senior data professional who can operate across both data engineering and data science. What You’ll Do Design, build, and maintain data pipelines and data models across projects Build and maintain Power BI dashboards and reporting systems Develop and deploy classical machine learning models (e.g. regression, classification, clustering) Perform data cleaning, transformation, and validation across multiple sources Conduct exploratory data analysis (EDA) to identify trends and opportunities Create automated reporting and analytics workflows Work across varied use cases (e.g. growth analytics, operations optimization, fraud detection, forecasting) Core Requirements 3–7 years experience in data engineering, data science, or analytics Strong proficiency in: Python (pandas, scikit-learn, etc.) SQL Experience with Power BI (must-have) Solid understanding of classical machine learning techniques (e.g. regression, decision trees, clustering, time-series) Experience building data pipelines / ETL workflows Strong data modeling and analytical thinking Conversational Russian Nice to Have Familiarity with cloud platforms (AWS / GCP / Azure) Experience with dbt / Prefect or similar tools Exposure to modern data stack tools Experience with maritime logistics / shipping data