Senior Data Scientist

Sunscrapers is a technology consultancy that empowers finance and healthcare leaders to succeed by leveraging cutting-edge software, data, and AI. We combine world-class engineering, deep industry expertise, and proprietary know-how to deliver innovative, high-impact solutions. Specializing in software engineering, DevOps, data engineering, and data science, we design and build AI-powered data platforms and web applications tailored to each client’s unique needs. Trusted by over 60 clients across the US, UK, and beyond, we consistently maintain a 4.9/5 client satisfaction rating, with partnerships averaging five years or more. The Project: In the project, you’ll contribute to building a set of machine learning algorithms for a US-based client in the venture capital sector. You’ll also help maintain and develop data pipelines feeding those algorithms and work with a team that keeps the system running on AWS infrastructure. The ideal candidate will be well-organized, eager to learn and adapt, and driven to tackle complex challenges. Most importantly, you’ll thrive in a collaborative, team-oriented environment! Your responsibilities will include: 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. Requirements What's important for us? 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. You will score extra points for: 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 What do we offer? Working alongside a talented team that’s changing the image of Poland abroad, 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, We value and appreciate our engineers eagerness to learn and improve so we strongly encourage and support their growth!