Job description
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.
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.
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!
