Senior Data Scientist
Company:Sunscrapers sp. z o.o.
Location:Poland
Languages:English
Seniority level:Senior, 5+ years
Experience:5+ years
Skills:
AWSDockerPythonSQLApache AirflowMachine LearningNumpySnowflakePandasCI/CDData modelingSoftware Engineering
Requirements:
- At least 5 years of professional experience as a data scientist
- Undergraduate or graduate degree in Computer Science, Engineering, Mathematics, or similar
- Excellent command in spoken and written English, at least C1
- Expertise in ML algorithms and methods, especially in supervised learning, feature engineering and model evaluation
- Expertise in Python, especially SciKit Learn, Pandas, Numpy and other libraries used in building ML algorithms
- Very strong SQL skills and experience with Snowflake data warehouse
- Excellent communication skills and ability to engage with business partners
- Domain knowledge of venture capital, investment banking, finance or related fields
- Good understanding of software development best practices and CI/CD tools
- Hands on experience with DBT or SQL Mesh (extra points)
- Experience with Airflow and data connectors such as Polytomic, Fivetran etc. (extra points)
- Strong understanding of various data modeling techniques like Kimball Star Schema (extra points)
- Hands-on experience with building ML models in Snowflake (extra points)
- Good understanding of Docker (extra points)
Responsibilities:
- Building, training, running and maintaining machine learning algorithms with Python
- Working with business and technical counterparts to refine models and present their performance
- Bringing own ideas and hypotheses to test and build models around in the scope of venture capital and investing
- Helping build and maintain data pipelines built with Python, Airflow and SQL Mesh on AWS and Snowflake
- Supporting data engineering team with maintenance of the system infrastructure on AWS and Snowflake
