Staff Data Scientist, Fraud (Palo Alto)

Join to apply for the Staff Data Scientist, Fraud role at Augment Code

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Join to apply for the Staff Data Scientist, Fraud role at Augment Code

AugmentCode is the only AI coding assistant built for professional software engineers working in large, productiongrade codebases. Our Context Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by toptier investors and trusted by engineering teams at leading tech companies, AugmentCode is redefining how modern software is built.

About the role

About Augment Code

AugmentCode is the only AI coding assistant built for professional software engineers working in large, productiongrade codebases. Our Context Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by toptier investors and trusted by engineering teams at leading tech companies, AugmentCode is redefining how modern software is built.

About the role

We're looking for a Data Scientist to join our Fraud & Abuse team to apply a data-driven approach to identify, understand, and help block abusers of Augment. In this role you'll be part of and work closely with a cross-functional team consisting of engineers, marketing, fraud experts, and other data scientists. This role will be responsible for key performance metrics such as fraud losses, false positives, and operational efficiency. You will require a mix of business and technical acumen and also cross-functional skills to communicate with various internal and external stakeholders.

Key Responsibilities:

• Research and build ML fraud and abuse detection models
• Perform statistical analysis to understand Risk / Fraud behaviors
• Contribute to fraud detection features and models
• Assess the effectiveness of fraud remediations
• Communicate with stakeholders inside and outside of engineering for a positive customer experience preserving Augments professionalism
• Be part of shaping the future of software engineering!

You have:

• 6+ years of experience in data science roles
• Expertise in Python, SQL, and statistical analysis
• Experience with designing data-driven experiments
• A deep curiosity and energy for pulling the thread on hard questions.
• Experience in turning open questions and data into concise and insightful analysis
• Experience with applying these skills in the context of fraud, ads, gaming, or similar areas

Desired but optional:

• Experience with LLMs
• Experience with a startup environment

Employee Benefits:

• Flexible work hours
• Competitive salary & Equity
• Tools Stipend
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair
• Numerous company social events

We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter.

Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.

Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations.

Annual Base Salary Range: $225,000 USD - $300,000 USD

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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