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Senior Data Scientist

Senior Data Scientist

EPAM SystemsChile
Hace 19 días
Descripción del trabajo

Overview

We are seeking a Senior Data Scientist to lead the design and implementation of machine learning solutions to drive increased player engagement. You will collaborate with cross-functional teams to assess player behavior, establish user segmentation strategies, and refine content recommendation systems.

Responsibilities

  • Develop A / B test plans to assess system performance and player engagement
  • Apply segmentation strategies to analyze players based on demographics, behavior, and content interaction roles
  • Create machine learning models to improve content recommendations for users
  • Enhance workflows to ensure reproducibility in data science initiatives
  • Use Databricks on AWS to process large-scale data effectively
  • Partner with product teams to align objectives and deliver insights that can be acted upon
  • Apply behavioral analytics to predict and assess player engagement

Requirements

  • Minimum 3 years\' professional experience in data science, machine learning, or a related domain
  • Proficiency in A / B testing methodologies, PySpark, and reproducible data science practices
  • Hands-on expertise with Databricks and AWS for processing large-scale datasets
  • Knowledge of behavioral or player analytics within gaming or comparable industries
  • Background in customer or segment-based analytics paired with predictive modeling
  • Strong written and spoken English communication skills (B2+)

    • 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

  • Information Technology, Engineering, and Research

    • Industries

  • Software Development, IT Services and IT Consulting, and Technology, Information and Internet

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    Data Scientist • Chile