Data Scientist II, Causal Inference, Supply Chain Optimization

1 week ago


Bellevue, Washington, United States Flexport Full time
Job Description

We are seeking a highly skilled Data Scientist with a background in causal inference to join our team at Flexport. As a key member of our Convoy Platform team, you will be responsible for developing data-driven insights and models that power critical functions such as freight pricing, load relevance engines, and auction strategies.

You will work closely with product managers, engineers, and other scientists to ensure seamless integration of your causal models and algorithms within the platform. Your expertise in causal inference and econometric techniques will enable us to refine our experimentation platform, implement innovative decision-making frameworks, and enhance our competitive edge in a dynamic, two-sided marketplace.

Key Responsibilities:

  • Model Marketplace Dynamics with Causal Inference: Build models that capture the causal impact of decisions within our two-sided marketplace.
  • Enhance Experimental Rigor in Product Development: Conduct A/B testing and online experiments to add scientific rigor to feature releases across our platform.
  • Collaborate on Cross-Functional Innovation: Work closely with product managers, engineers, and other scientists to ensure seamless integration of your causal models and algorithms within the platform.
  • Analyze Market Conditions and Broker Heterogeneity: Investigate complex interactions between different broker actions and help our team quickly identify impacts on carrier behavior.

Requirements:

  • Advanced Degree and Quantitative Expertise: Ph.D. or Master's in a quantitative field (e.g., Econometrics, Statistics, Economics, Applied Math, Operations Research, or Engineering) with 2+ years of post-graduate experience in a dynamic business environment.
  • Technical Skills in Statistical and Machine Learning Tools: Proficiency in Python, SQL, for data analysis, modeling, and deployment, with hands-on experience applying these tools to build robust, interpretable models.
  • Experience with Causal Inference and Experimental Design: Strong foundation in causal inference and econometric techniques, with a proven track record of applying these frameworks to real-world problems.

Benefits:

  • Estimated Salary Range: $148,800 - $186,000 USD per year.
  • Flexible Working Hours and Remote Work Options.
  • Professional Development Opportunities and Training Programs.
  • Diverse and Inclusive Work Environment.

Additional Information:

Flexport is an equal opportunity employer committed to diversity and inclusion. We believe that everyone deserves access to fair and transparent trade practices. If you are passionate about making global commerce easy and accessible, we encourage you to apply.



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