Drive data quality initiatives as a Data Science Intern this summer. Contribute to vehicular counter data analysis, ensure metrics meet real-world expectations, and engage with cross-functional teams.
This internship is perfect for students pursuing graduate degrees in Urban Planning, Transportation, or related Engineering fields. You'll leverage strong analytical skills to identify data anomalies and implement improvements in our modeling processes. Collaborate with Data Scientists, Engineers, and Product Managers to uphold data quality standards.
Key Responsibilities: • Investigate anomalies in permanent counter datasets • Implement edits for improved modeling accuracy • Propose changes to counter quality criteria • Communicate findings effectively to stakeholders • Collaborate with teams to maintain quality standards
Requirements: • Currently pursuing a graduate degree in relevant fields • Solid organizational and detail-oriented skills • Experience with geospatial data analysis • Familiarity with SQL and relational databases • Proficient in Python or R for data analysis
Enhance your expertise in data quality and contribute to impactful modeling efforts this summer. #J-18808-Ljbffr
Apply on Kit Job: kitjob.ca/job/2g969r
📌 Data Quality Intern for Modeling Processes (Burnaby)
🏢 Jacobs
📍 Burnaby
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