Data Scientist

3 weeks ago


Redmond, United States Apex Systems Full time

Data Scientist/Engineer

Contract: 9 months (chance to extend)

Location: Redmond, WA (Hybrid - onsite 2-3 days per week)


Role Overview

  • Team Purpose: Develop a new analytics environment to make data more accessible and usable for data scientists and other users.
  • Key Projects: Building a new analytics environment for games.


Typical Tasks:

  • 10%: Meetings
  • 20%: Interfacing with users
  • 70%: Coding (70% content, 30% infrastructure)


Candidate Value Proposition

  • Interesting Aspects: Opportunity to work on a high-profile team, using current technology.
  • Unique Selling Points: Involvement with a major video game, working on modern analytics solutions, machine learning, and AI.


Candidate Requirements

Experience:

  • 3-5 years in the field.
  • Solid data engineering skills, business acumen, data profiling, analysis, and experience with video games.
  • Experience with large volumes of streaming data and data modeling


Education: Degree in software engineering or equivalent.


Ideal Candidate:

  • Critical thinker with a solid track record in building big data pipelines.
  • Strong Python skills and a pythonic mindset.
  • Effective data models and good collaboration and communication skills.


Performance Indicators

  • Impact and value of data features and analytics solutions.
  • Engineering velocity in developing analytics environment features.


Hard Skills Required

  1. Python: 3-5 years
  2. SQL: 2+ years
  3. Data Modeling: 3-5 years
  4. Big Data Pipelines: 5 years
  5. Cloud Experience: 3-5 years


Responsibilities

  • Collaborate with data consumers and stakeholders.
  • Analyze multi-structured data from various sources.
  • Design data models and architect dataflows.
  • Build and maintain automated data pipelines.
  • Use modern data engineering practices for scalable solutions.
  • Write and maintain technical documentation.
  • Assist users with data access tools and documentation.
  • Handle confidential information responsibly.


Qualifications

  • 3+ years as a data engineer or equivalent.
  • Critical thinker and problem solver.
  • Proven track record in building and optimizing big data pipelines.
  • Data analysis skills.
  • Experience with enterprise-scale data pipelines on cloud platforms (Azure preferred).
  • Strong Python and SQL skills.
  • Knowledge of DevOps and DataOps practices.
  • Video game domain knowledge.


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