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Forward Deployed Data Scientist (On-site)

Translated

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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