Informacje o stanowisku

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.

Whats 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!

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