Few words about project

We’re looking for a Senior Data Scientist to join our team in Warsaw or remotely.

As a Senior Data Scientist, you’ll support data analysis workflows and data engineering efforts at the US-based private investment firm. You’ll work directly with other data scientists and data analysts to enable data-driven decision business processes. You’ll also cooperate with the data engineering team to design and implement common code for the data science team.

The recruitment process is well organized - it’s one video meeting, that lasts about 1,5-2hours - 30 minutes of a talk with a Manager (algorithmic and data-science related technical questions), 30 minutes of talk with the Data Analytic (cultural fit interview), 30 minutes of talk with the Senior Software Developer (programming questions).

There is a plan to work at least 4 hours a day overlap with the USA East Coast timezone, so your work should be organized in hours like 10:00-18:00 or 11:00-19:00 PL timezone.

You will be responsible for...

Extracting actionable insights from broad, open-ended questions to influence investment decisions

Developing common data analysis workflows using NLP (sentiment analysis), Geospatial analysis and customer segmentation methods

Designing a common library for other data scientists that includes storage connectors, proxy authentication, secrets management, standard data visualization methods, and more

Designing and implementing ML/DL models for text and customer segmentation data

Designing and building AWS infrastructure together with the Data Engineering team

Developing data technology stack including API services and ETL pipelines,

Designing datasets and schemes for consistency and easy access

What's important for us?

Must have:

At least 5 years of professional experience in data-related roles or software engineering

Undergraduate or graduate degree in Computer Science, Engineering, Mathematics, or similar

Excellent command of spoken and written English, at least C1

Expertise in Python and SQL

Proficiency in statistics and machine learning, as well as Python libraries like Pandas, NumPy, matplotlib, seaborn, scikit-learn, Keras, etc

Excellent understanding of natural language processing (NLP)

Good understanding of geospatial analysis and data formats

Experience with AWS EC2, S3 and Athena

Ability to use Docker and create Dockerfiles

Ability to take an ambiguous analysis question and run with it independently

Creative problem-solving skills

Great customer service and troubleshooting skills

Nice to have:

Experience in designing and implementing REST API services

Experience in building ETL processes and data pipelines with platforms like Airflow or AWS services

Familiarity with Azure DevOps stack

Knowledge of Google Maps, Open Street Map or TomTom APIs

Experience with ArcGis ecosystem

Experience in operating within a secure networking environment, like a corporate proxy

Perfectly, if you have one month of notice period, or you are available ASAP, but we can also wait for you longer.


Renowned global clients

Work with exciting scaleups and enterprises from USA, Western Europe and Scandinavia.

Culture of feedback

We foster open communication based in frequent mutual feedback.


Work remotely or from the office with an elastic work schedue.

Personal development

Engineering open spaces with CTO will help you develop your skills.

Medicover & Multisport

Stay healthy and fit with private healthare package and access to 4000+ sport facilities.

Join our team!

We're always on the lookout for talented teammates. Send us your CV and we'll get in touch once we have the right project for you.

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