Data Scientist Intern

San Francisco

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Sift
Fraud prevention solutions that enable your business to innovate & grow without increased risk. Protect your customers and commerce with Sift fraud solutions.
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About the team:

Our team researches and develops machine learning models and prototype systems that help make the Internet a safer place. We serve customers around the world and across multiple verticals such as e-commerce, delivery services, fintech, travel sites, etc. Our technology helps protect their users from ever-evolving online scams, payment fraud, abusive content, account takeover, and other fraudulent activity.  We are a forward-thinking team constantly challenging ourselves and the status quo to push the boundary of machine learning and data science across multiple product offerings at Sift and collaborate with product engineering teams to deliver concrete customer value.

We take pride in our work, not ourselves. Open and constructive feedback is valued and often required to ensure rigor in our work. We love learning, hacking, and sharing our findings. We believe that machine learning is THE way to empower internet-scale businesses to thrive.

What you'll do:

  • Evaluate and experiment with cutting-edge machine learning technologies through literature survey and prototyping
  • Design and implement prototype ML systems end-to-end
  • Design and implement internal tools for model debugging and ML explainability
  • Gather domain knowledge from stakeholders to define evaluation metrics and align our innovation with customer objectives
  • Collaborate with platform teams to build internal tools to support repeatable research process and help diagnosing model issues

Required:

  • Current Junior, Senior, or Graduate student pursuing degree in Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related field
  • Experience with Python for data analysis, machine learning, and data visualization
  • Solid understanding of statistical concepts and machine learning models
  • Strong verbal and written communication skills

Nice to have:

  • Experience with Spark or other big data processing technologies
  • Experience with a common deep learning framework (Tensorflow, PyTorch)
  • Experience with Java
  • Experience working with cloud computing frameworks (AWS, GCP)

A little about us:

Sift is the leading innovator in Digital Trust & Safety.  Hundreds of disruptive, forward-thinking companies like Airbnb, Zillow, and Twitter trust Sift to deliver outstanding customer experience while preventing fraud and abuse.

The Sift engine powers Digital Trust & Safety by helping companies stop fraud before it happens. But it’s not just another anti-fraud platform: Sift enables businesses to tailor experiences to each customer according to the risk they pose. That means fraudsters experience friction, but honest users do not. By drawing on insights from our global network of customers, Sift allows businesses to scale, win, and thrive in the digital era.

Benefits and Perks:

  • Competitive total compensation package
  • 401k plan
  • Medical, dental and vision coverage
  • Wellness reimbursement
  • Education reimbursement
  • Flexible time off

Sift is an equal opportunity employer. We make better decisions as a business when we can harness diversity in our experience, data, and background. Sift is working toward building a team that represents the worldwide customers that we serve, inclusive of people from all walks of life who can bring their full selves to work every day.

This document provides transparency around the way in which Sift handles personal data of job applicants: https://sift.com/recruitment-privacy

Job region(s): North America
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