Forward Deployed Data Scientist (On-site)
Pubblicato il 19-10-2026 - 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