Senior Data Scientist

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 with 250+ specialists delivering complex products for 70+ clients across the U.S., Europe, and Canada. We operate in a remote-first environment and focus on long-term collaboration, stable projects, and transparent processes.

About the Project

An AI-driven real-time market intelligence platform for the global fresh produce industry. The platform helps growers, retailers, distributors, and investors make faster, data-driven decisions.

Requirements

• 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 advanced machine learning frameworks and libraries 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.

Advantages

• High ownership of the scientific and modeling layer.
• Work with unique global weather, market, trade, and supply-chain datasets.
• Build models that directly impact customer-facing products.
• Direct collaboration with CTO, founders, and senior leadership.
• Freedom to experiment with new approaches and technologies.
• Remote-first working environment.

We Offer

• 20 paid vacation days per year
• Compensation for professional courses
• English learning support
• Transparent communication and processes
• Opportunity to switch projects within Digis