Forto is hiring a Data Scientist to own production ML systems that extract structured intelligence from unstructured logistics data. The role spans document data extraction (FlashDoc), vocabulary mapping, and classical ML, with an immediate focus on maintaining existing production systems and building evaluation pipelines. The broader roadmap extends into demand forecasting, churn prediction, route optimization, and predictive analytics.
Stack
Responsibilities
- ▹Design, build, and maintain end-to-end ML pipelines for document extraction, classification, and data enrichment in production
- ▹Build prompt evaluation frameworks and feedback-based optimization loops to improve extraction accuracy
- ▹Train custom in-house models using human-in-the-loop (HITL) data to move from assisted to fully automated extraction
- ▹Build and maintain semantic similarity models mapping free text to standardized TMS vocabulary
- ▹Improve pipeline reliability through redesign, testing, monitoring, and alerting for non-deterministic ML systems
- ▹Evaluate and introduce disruptive approaches to achieve step-change accuracy improvements
- ▹Partner with Product Managers to identify where data science can solve real user pain points
- ▹Collaborate with Engineering on integration, infrastructure, and API design
- ▹Manage stakeholder expectations on feasibility, timelines, risks, and prioritization trade-offs
Requirements
- ▹2+ years of professional experience in data science or machine learning engineering
- ▹Ability to design, deploy, and maintain ML systems in production, including pipeline architecture, monitoring, and reliability
- ▹Ability to quickly onboard with new tools, technologies, and problem spaces
- ▹Strong use of agentic tools for coding
- ▹Strong proficiency in Python
- ▹Hands-on experience with LLMs (prompting, fine-tuning, evaluation) and their limitations in production
- ▹Strong foundation in classical data science and statistics: regression, classification, time series, data leakage, experimental design, hypothesis testing
- ▹Strong analytical and problem-solving skills on ambiguous, research-oriented problems
- ▹Demonstrated ability to propose disruptive alternatives when existing approaches are insufficient
- ▹Strong stakeholder management skills
- ▹Ability to commit fully to a direction after healthy debate
Soft skills
Strong stakeholder managementAnalytical and problem-solving mindsetAbility to work independently on ambiguous problemsAbility to commit to a direction after debate
About the company
Forto is reinventing digital supply chains to be transparent, frictionless, and sustainable, harnessing AI to revolutionise logistics and simplify global trade. Its data science team extracts structured intelligence from unstructured logistics data and builds predictive analytics for logistics operations.
Languages: Angol (folyékony)