Machine Learning Applied Scientist in Toronto

Machine Learning Applied Scientist in Toronto

Toronto Full-Time 135000 - 165000 $ / year (est.) On-site
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At a Glance

  • Tasks: Tackle challenging quantitative problems using machine learning to optimize customer engagement.
  • Company: Join Opendoor, a leader in the homeownership ecosystem with a focus on innovation.
  • Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
  • Other info: Collaborative team environment with a focus on shaping the future of homeownership.
  • Why this job: Make a real impact on marketing strategies and customer acquisition in a dynamic industry.
  • Qualifications: Proficient in Python with experience in machine learning and causal inference.

The predicted salary is between 135000 - 165000 $ per year.

Join Opendoor as an Applied Scientist and tackle challenging quantitative problems with a focus on machine learning and decision-making.

This role is integral to optimizing customer acquisition and engagement.

As an Applied Scientist at Opendoor, you will be engaged in building models that drive profitable growth in the homeownership ecosystem.

Your work will involve causal inference, optimization, and customer lifecycle analysis, fundamentally enhancing our marketing strategies.

This role requires strong Python skills and the ability to translate complex findings into actionable insights.

Key

Responsibilities

  • Build models to enhance customer acquisition and engagement
  • Develop intent and conversion optimization models
  • Improve marketing measurement systems and budget allocation
  • Apply causal inference to validate marketing impact
  • Collaborate with cross-functional teams to implement decision systems

Requirements

  • Proficient in Python with production ML experience
  • Advanced degree in statistics, economics, or related field
  • Strong knowledge in causal inference and experimental design
  • Ability to work with imperfect data and ambiguous questions
  • Experience in predictive modeling and production deployment

Bring your quantitative skills and problem-solving expertise to Opendoor, shaping the future of homeownership. #J-18808-Ljbffr

Machine Learning Applied Scientist in Toronto employer: Opendoor

At Opendoor, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration, making us an exceptional employer for our Infrastructure Security Engineer role. Located in the heart of downtown Toronto, our office offers a vibrant environment where employees can thrive, with ample opportunities for professional growth and mentorship. We are committed to empowering our team members through meaningful work that directly impacts homeownership, while also providing a supportive atmosphere that values autonomy and creativity.

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Contact Details:

Opendoor Recruitment Team

We think you need these skills to ace Machine Learning Applied Scientist in Toronto

Python
Machine Learning
Causal Inference
Optimization
Customer Lifecycle Analysis
Predictive Modeling
Experimental Design