Senior Data Scientist

Motion Recruitment Partners LLC.
Waterloo, CA, United States
9 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Cluster Analysis Python (Programming Language) Machine Learning Object-Oriented Software Development Tensorflow Signal Processing Model Validation Machine Learning Operations

Job description

Located in Waterloo, this full-time Senior Data Scientist opportunity is with an innovative technology organization focused on advanced analytics and machine learning. The team is leveraging Python-based machine learning frameworks, statistical modeling, anomaly detection, clustering, classification, and data quality analysis to solve challenging real-world problems in a highly technical environment.

This is a rare opportunity for a senior-level machine learning professional who wants to own technical direction rather than manage people. The biggest draw of this role is the ability to influence production-grade ML systems that directly impact mission-critical technology solutions. The team is looking for someone who can combine deep statistical expertise with practical machine learning experience to improve model performance, guide technical decisions, and mentor peers. You’ll have the chance to work alongside subject matter experts, tackle difficult data science challenges, expand your technical leadership skills, and make a measurable impact while enjoying a collaborative and growth-oriented environment.

Requirements

  • 5+ years of Data Science or Machine Learning experience
  • Expertise in statistics, experimental design, model evaluation and validation
  • Strong experience with anomaly detection
  • Advance Python programming skills with object-oriented design experience

Desired Skills & Experience

  • Knowledge of signal processing
  • Experience working with sensor, time-series, or scientific measurement data
  • Familiarity with Azure-based machine learning workflows

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