Senior Data Scientist - Remote-First AI & Forecasting

Digis, a Fiverr company (NYSE: FVRR); Polska; Remote; PLN 180,000 - 260,000; Full time

Benefits offered by this job

20 vacation days

Courses stipend

English learning support

Transparent processes

Project switching inside Digis

Job summary

Digis is a European IT company delivering complex products with remote-first collaboration. We seek aData Scientist who can own end-to-end modeling, forecasting, and ML research for a real-time market intelligence platform serving growers, retailers, and investors.

You will work with CTO and senior leadership, handle features from weather and trade data, and deploy models into production while exploring LLM and AI-agent use cases.

Qualifications

• 5+ years of professional experience in Data Science.
• Strong Python skills and experience with ML libraries.
• Strong SQL skills and hands-on experience with BigQuery.
• Strong experience with GCP.
• Experience with ML frameworks such as XGBoost, LightGBM, PyTorch, or TensorFlow.

Responsibilities

• Analyze complex multivariable datasets and identify key patterns and drivers.
• Build forecasting and classification models using statistical, ML, and deep learning approaches.
• Engineer features based on seasonality, weather, trade flows, and regional dynamics.
• Design and maintain model evaluation and backtesting frameworks.
• Assess model uncertainty, explainability, and performance.
• Monitor model drift and continuously improve model quality.
• Prototype LLM and AI-agent use cases.
• Collaborate with engineering teams to deploy models into production.

Skills

5+ years of data science

Python

SQL (BigQuery)

GCP

ML frameworks (XGBoost, LightGBM, PyT,

Tools

BigQuery

GCP

Job description

Digis is a European IT company delivering complex products with remote-first collaboration. We seek aData Scientist who can own end-to-end modeling, forecasting, and ML research for a real-time market intelligence platform serving growers, retailers, and investors.

You will work with CTO and senior leadership, handle features from weather and trade data, and deploy models into production while exploring LLM and AI-agent use cases.