Data Scientist
3 weeks ago
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
- Python: 3-5 years
- SQL: 2+ years
- Data Modeling: 3-5 years
- Big Data Pipelines: 5 years
- 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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