Senior Data Scientist

Summary

Join Sunscrapers, a technology consultancy empowering finance and healthcare leaders, to build machine learning algorithms for a US-based venture capital client. You will contribute to building and maintaining data pipelines, work with a team on AWS infrastructure, and collaborate with business and technical counterparts. The ideal candidate possesses strong organizational skills, a desire to learn and adapt, and thrives in a collaborative environment. Responsibilities include building, training, and maintaining machine learning algorithms using Python, refining models, and presenting performance data. You will also help build and maintain data pipelines using Python, Airflow, and SQL Mesh on AWS and Snowflake, and support the data engineering team. This role requires at least 5 years of experience as a data scientist and a degree in a relevant field.

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 to discuss performance and development of machine learning algorithms
• Domain knowledge of venture capital, investment banking, finance or related fields
• Good understanding of software development best practices and CI/CD tools
• Creative problem-solving skills

Responsibilities

• Building, training, running and maintaining machine learning algorithms with Python
• Working with business and technical counterparts to refine the models and present their performance in an approachable way
• Bringing your own ideas and hypotheses to test and build models around in the scope of venture capital and investing
• Helping build and maintain a set of data pipelines built with Python, Airflow and SQL Mesh on AWS and Snowflake
• Supporting our data engineering team with maintenance of the system infrastructure on AWS and Snowflake

Preferred Qualifications

• Hands on experience with DBT or SQL Mesh
• Experience with Airflow and data connectors such as Polytomic, Fivetran etc
• Strong understanding of various data modeling techniques like Kimball Star Schema
• Hands-on experience with building ML models in Snowflake
• Great analytical skills and attention to detail - asking questions and proactively searching for answers
• Good understanding of Docker

Benefits

• Flexible working hours and remote work possibility
• Comfortable office in central Warsaw equipped with all the necessary tools to conquer the universe (Macbook, external screen, ergonomic chairs)
• Fully equipped kitchen with fruit, hot and cold drinks
• Multisport card & Private medical care
• Culture of good feedback: evaluation meetings, mentoring