Data Scientist

About Digis
Digis (a Fiverr subsidiary) 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
• Experience with advanced machine learning frameworks and libraries such as XGBoost, LightGBM, PyTorch, or TensorFlow.
• Strong SQL skills and hands-on experience with BigQuery.
• Strong experience with GCP.
• Upper-Intermediate+ English level

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
• 5 paid sick days
• Compensation for professional courses
• English learning support
• Work equipment
• Transparent communication and processes
• Opportunity to switch projects within Digis
• Corporate psychologist

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