Senior Data Scientist

hace 3 semanas


Chile EPAM Systems A tiempo completo

Senior Data Scientist We are seeking a Senior Data Scientist to transform complex data into actionable insights and machine learning products that drive significant business impact. You will collaborate with product and engineering teams to frame problems, develop models, and deliver clear data narratives. Join us to leverage your expertise in dashboarding tools and cloud data platforms to shape strategic decisions and innovation. Responsibilities Translate business objectives into clear data science problems with measurable success criteria Explore, clean, and integrate complex datasets while engineering high-impact features Build, validate, and refine predictive, classification, ranking, NLP, and time-series models Design and analyze experiments including A/B and multi-arm tests for reliable causal inference Communicate insights effectively through narratives, visualizations, and actionable recommendations Collaborate with product and engineering teams to deploy and monitor machine learning models in production Develop and maintain scalable dashboards and reporting systems to facilitate real‑time business monitoring Architect and optimize data pipelines for large-scale data ingestion, transformation, and integration Define, implement, and track success metrics for AI-driven features and digital transformation efforts Partner with stakeholders to translate data insights into strategic business recommendations Requirements Extensive applied data science experience of 3+ years in production environments Strong foundation in statistics, probability theory, and experimental design Advanced proficiency in SQL and at least one general-purpose programming language with experience in machine learning libraries Experience handling large datasets and familiarity with distributed data processing frameworks Expertise in model evaluation, validation, and monitoring using offline and online metrics Fluency in data visualization and delivering executive-level communications Knowledge of MLOps practices and collaboration with data and platform engineering teams Bachelor's or Master's degree in a quantitative field or equivalent experience Nice to Have Experience with natural language processing, forecasting, recommendations, or anomaly detection Familiarity with causal inference and A/B testing methodologies Hands‑on experience with feature stores, real-time data processing, or online machine learning systems Knowledge of cloud data platforms and modern data warehouses Mentoring experience and contributions to cross-team projects We Offer International projects with top brands Work with global teams of highly skilled, diverse peers Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Seniority Level Mid‑Senior level Employment Type Full-time Job Function Business Development, Information Technology, and Engineering Industries Software Development, IT Services and IT Consulting, and Technology, Information and Internet #J-18808-Ljbffr



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