Stas Sajin

Stas Sajin is a Staff Software Engineer at DoorDash, specializing in experimentation. Based in the San Francisco Bay Area, he has a strong background in data science, particularly in full-stack data science with experience in speech processing and finance. His work primarily focuses on enhancing experimentation velocity and trust within the DoorDash platform.

Professional Background

• Current Role: Staff Software Engineer on the Experimentation Team at DoorDash since July 2021. His responsibilities involve increasing the speed and efficacy of experimental designs to optimize product decisions.
• Previous Roles:
  • Senior Data Scientist at DoorDash from September 2020 to July 2021.
  • Lead Data Scientist at Earnest Inc. from January 2019 to August 2020, where he contributed to machine learning services that supported underwriting infrastructure.

Technical Expertise

Stas has a diverse technical skill set, including:

• Programming Languages: Proficient in Python, R, and Scala.
• Databases: Experienced with Redshift, BigQuery, Snowflake, and PostgreSQL.
• CI/CD Tools: Familiar with Jenkins, GitHub Actions, and others.
• Cloud Infrastructure: Knowledgeable in AWS services such as S3, EC2, and SageMaker.

Contributions at DoorDash

Stas has been involved in various innovative projects aimed at improving DoorDash's operational capabilities:

• He has worked on developing systems that balance supply and demand through machine learning techniques.
• His recent focus includes addressing challenges in A/B testing methodologies to enhance the reliability of experimental results.

Thought Leadership

Stas has also shared insights on managing data science teams effectively and fostering a culture of empathy within technical environments. He emphasizes the importance of education and awareness in improving experimental design practices at DoorDash.

For more detailed information about his professional journey and contributions, you can view his LinkedIn profile here .1