Real-Time Optimization Scientist - Driver Incentives

United States Digital Space LLC; Toronto; Hybrid; CAD 108,000 - 135,000; Full time

Benefits offered by this job

Extended health and dental coverage

Life insurance and disability benefits

Mental health benefits

Family building benefits

RRSP plan with company match

Subsidized commuter benefits

Hybrid work schedule with in-office 3+

Flexible paid time off

Job summary

United States Digital Space LLC in Toronto seeks a Data Scientist specializing in Algorithms to design and scale incentive systems for drivers. You will collaborate with product and engineering to deploy optimization models and experiment-driven decision-making.

Ideal candidates hold advanced degrees and have 2+ years in optimization, causal inference, or ML, with strong Python and data-analysis skills and a hands-on, entrepreneurial mindset.

Qualifications

• Advanced degree (MS or PhD) in a quantitative field; or equivalent work experience.
• 2+ years hands-on experience in optimization, causal inference, or machine learning.
• End-to-end data experience: querying, aggregation, analysis, and visualization.
• Proficiency with Python.
• Strong ability to collaborate and communicate in a team setting.

Responsibilities

• Collaborate with engineering and product to design, implement, and iterate on new features and algorithmic improvements for driver incentives and pay mechanisms.
• Design, develop, and deploy optimization models, algorithms, and systems for problems such as budget allocation, multidimensional cost-curve development, and incentive targeting.
• Write production model code; collaborate with Software Engineers to implement algorithms in production.
• Perform exploratory data analysis to gain a deeper understanding of the marketplace and its users.
• Communicate findings and facilitate launch decisions with technical and non-technical stakeholders.
• Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies.

Skills

Python

Optimization

Causal Inference

Machine Learning

A/B Testing

Data Analysis

Education

MS or PhD in quantitative field

Tools

SQL

Job description

United States Digital Space LLC in Toronto seeks a Data Scientist specializing in Algorithms to design and scale incentive systems for drivers. You will collaborate with product and engineering to deploy optimization models and experiment-driven decision-making.

Ideal candidates hold advanced degrees and have 2+ years in optimization, causal inference, or ML, with strong Python and data-analysis skills and a hands-on, entrepreneurial mindset.