Senior ML Data Scientist — Remote, Impactful AI

Placements24

Kimberley

Hybrid

CAD 120,000 - 170,000

Full time

3 days ago
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Benefits offered by this job

Remote-first culture
Competitive compensation and bonuses
Health, dental, vision plans
Professional development budget

Job summary

Placements24 seeks a Senior Data Scientist specializing in machine learning to design, develop, and deploy predictive models for business decisions. You will work with large datasets, build algorithms, and translate findings for stakeholders.

This remote-first role offers flexible hours, competitive compensation, health benefits, and opportunities to work with cutting-edge technologies across cloud platforms.

Qualifications

  • Master's degree or PhD in Computer Science, Statistics, Mathematics, or related quantitative field.
  • Minimum 5 years of professional experience as a Data Scientist with strong ML focus.
  • Proficiency in Python or R and libraries (Scikit-learn, TensorFlow, PyTorch).
  • Experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
  • Solid understanding of statistical modeling, algorithms, and data mining techniques.
  • Excellent problem-solving, analytical, and communication skills.

Responsibilities

  • Design, develop, and implement ML models for predictive analytics, classification, clustering.
  • Process, clean, and transform large datasets from various sources.
  • Conduct exploratory data analysis to identify trends and opportunities.
  • Deploy ML models into production and monitor performance.
  • Collaborate with engineering and product teams to integrate DS solutions.
  • Communicate findings to technical and non-technical stakeholders.

Skills

Python
R
Scikit-learn
TensorFlow
PyTorch
Big data processing
Data analysis

Education

Master's degree or PhD in CS/Stats/Math

Tools

Spark
Hadoop
AWS
Azure
GCP

Job description

Placements24 seeks a Senior Data Scientist specializing in machine learning to design, develop, and deploy predictive models for business decisions. You will work with large datasets, build algorithms, and translate findings for stakeholders.

This remote-first role offers flexible hours, competitive compensation, health benefits, and opportunities to work with cutting-edge technologies across cloud platforms.

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