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Forward Deployed Data Scientist (On-site)

Pubblicato il 23-09-2026 - Translated in Latina

Overview

As a Forward Deployed Data Scientist, you will translate customer needs into data-driven solutions that impact enterprise localization and AI-powered translation products. You'll work across data science, product, engineering, and customer-facing teams to uncover opportunities, build models and dashboards, and deploy analytics that drive measurable business outcomes. This role combines hands-on modeling with stakeholder communication to deliver reusable data capabilities.

You'll engage directly with customers to understand objectives and deliver tailored insights that scale.

Retribuzione / Benefits

- flexible remote work policy
- periodic presence at Rome headquarters
- growth-oriented learning paths
- health-oriented initiatives (gym, massages)
- psychological, legal, and financial support
- fully equipped kitchens and relaxation rooms

Responsabilità
- Partner with customers and internal stakeholders to define data-driven problems and objectives
- Identify data sources and conduct exploratory analysis to uncover actionable insights
- Develop metrics, statistical analyses, ML models, and data-driven solutions
- Design experiments and measurement frameworks to evaluate initiatives
- Analyze key business indicators such as translation quality, revenue, and operational performance
- Build prototypes and collaborate with engineers to deploy production solutions
- Create dashboards and visualizations to communicate findings to technical and non-technical audiences




- Present recommendations to leadership, customers, and stakeholders
- Define success criteria and continuously improve deployed solutions
- Collaborate with product managers, software engineers, AI researchers, sales, and customer teams
- Foster reusable analytical methods and best practices across the company
- Stay updated on data science, ML, analytics, and applied AI

Requisiti fondamentali
- 3+ years of professional data science or related experience
- Strong knowledge of statistics, probability, and experimental design
- Excellent Python programming skills
- Experience with SQL and large, complex datasets
- Experience with data exploration, modeling, and evaluation
- Ability to translate ambiguous business questions into measurable problems
- Experience defining business and product metrics to support decision-making
- Familiarity with data pipelines, warehouses, and analytical workflows
- Experience with a BI or data visualization tool (e.g., Metabase, Tableau, Superset)
- Clear communication of technical findings to diverse audiences
- Strong problem-solving and results-oriented mindset
- Project management with multiple stakeholders
- Excellent written and spoken English
- BSc or MSc in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or related field
- strong communication
- stakeholder collaboration
- business acumen
- Python
- SQL
- statistics and experimental design

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