Senior Staff Data Scientist

4 weeks ago


San Francisco, California, United States Social Finance Ltd Full time
Job Summary

We are seeking a highly experienced Senior Staff Data Scientist to lead our machine learning efforts and drive the development and deployment of machine learning models that improve our product experience for our members.

Key Responsibilities
  • Work closely with Product and Engineering partners to define product experiences that can be improved with machine learning
  • Architect and deploy machine learning pipelines and infrastructure in AWS Sagemaker and Snowflake Snowpark
  • Conduct advanced statistical analyses and machine learning experiments to extract actionable insights from large, complex datasets
  • Collaborate with cross-functional teams, including product management, engineering, and business stakeholders, to define and prioritize data science initiatives
  • Develop and maintain best practices for machine learning model development, deployment, and monitoring
  • Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner
  • Stay abreast of the latest developments in Data Science, Machine Learning, and AI, and apply this knowledge to improve our solutions
Requirements
  • 8+ years of experience in Data Science and machine learning, with a focus on developing and deploying machine learning models
  • Track record of deploying user-facing ML features in production
  • Strong programming skills in Python with experience in machine learning libraries and frameworks
  • Proficiency in data manipulation and analysis using SQL and data visualization tools
  • Experience with cloud-based platforms and services for machine learning (e.g. AWS Sagemaker, Snowflake Snowpark)
  • Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
  • Ability to lead and mentor junior data scientists and engineers
  • Advanced degree (Master's or PhD) with a quantitative major such as Statistics, Mathematics, Engineering, or Computer Science
What We Offer

We offer a comprehensive and competitive benefits package, including a base pay range, and a commitment to embracing diversity and inclusion.


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