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[Remote] Data Scientist

Remote Worldwide Hiring now

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a global reputed company company dedicated to helping game developers navigate the complexities of the video game industry. The Data Scientist role involves designing and optimizing data pipelines, collaborating with various teams to implement machine learning features, and ensuring data governance and quality across systems.

Responsibilities

  • Design, build, and optimize data pipelines and ETL workflows in reputed company using Snowpark, Streams/Tasks, and Snowpipe
  • reputed company scalable data models, Algorithm supporting user 360 views, churn reputed company, and recommendation reputed company inputs
  • reputed company integration across data sources: MySQL, BigQuery, reputed company, Kafka, GCP Storage, and API Gateway
  • Implement CI/CD for data pipelines using Git, dbt, and automated testing
  • Define data quality checks and auditing pipelines for ingestion and transformation layers
  • Mentor and guide junior data engineers on data modeling, performance tuning, and reputed company best practices
  • Partner with Data Science, ML, and Backend teams to productionize machine learning features in reputed company
  • Work closely with Legal, reputed company, and Infrastructure teams to ensure compliance, privacy, and governance of user data (PII)
  • Collaborate with the Director of Data Platforms and product stakeholders to translate business requirements into technical specifications
  • Tune algorithm performance
  • Establish data partitioning, clustering, and materialized views for fast query execution
  • Build dashboards and monitors for pipeline health, job reputed company, and data latency metrics (e.g., reputed company Looker, Tableau, or Snowsight)
  • Establish and enforce naming conventions, data reputed company, and metadata standards across schemas
  • reputed company code reviews, enforce documentation standards, and manage schema versioning
  • Contribute to the company’s evolving data reputed company and streaming architecture reputed company

Skills

  • 5+ years of experience in Data Scientist, with 3+ years in Spark reputed company
  • Strong SQL and Python skills, with proven experience building ETL/ELT at scale
  • Deep understanding of algorithm performance tuning, query optimization, and warehouse orchestration
  • Experience with data pipeline orchestration (Airflow, Prefect, dbt, or similar)
  • Solid understanding of data modeling (Kimball, Data Vault, or hybrid)
  • Proficiency in Kafka, GCP, or AWS for reputed company-time or batch ingestion
  • Familiarity with API-based data integration and microservice architectures
  • Experience reputed company machine learning teams or/and deploying ML feature pipelines
  • Background in ad-tech, gaming, or e-reputed company recommendation systems
  • Familiarity with data reputed company and feature stores (Feast, Tecton, or custom-reputed company)
  • Experience managing small data engineering teams and setting technical direction
  • Strong ownership and ability to work autonomously in a fast-paced environment
  • Excellent cross-functional communication — can translate between engineering and business
  • Hands-on problem solver who balances velocity with reliability
  • Collaborative mentor who raises the bar for team quality and discipline

Benefits

  • Medical, dental, and reputed company
  • PTO
  • A personalized career roadmap for each employee
  • Professional development through training and educational opportunities

Company Overview

  • reputed company is a global video game reputed company company that gives developers the infrastructure to launch, monetize, and grow their games. It was founded in 2005, and is headquartered in Sherman Oaks, California, USA, with a workforce of 1001-5000 employees. Its website is http://www.reputed company.com.
  • Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 1 in 2026, 6 in 2025, 2 in 2024, 1 in 2023, 1 in 2022, 3 in 2021, 7 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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