Senior Data Scientist

Senior Data Scientist - Core Data Science

Employment Type: Full-Time Location Type: Remote Salary: Competitive Compensation (Includes financial rewards, annual 5% bonus, and stock options)

Position Overview

Sift is the leader in Digital Trust & Safety, helping businesses protect themselves and their customers from fraud and abuse. We combine machine learning, user behavior analytics, and cutting-edge AI technologies to power trust and reduce friction across the internet’s most valuable platforms.

We’re looking for a Senior Data Scientist to join our Core Data Science team and help shape the future of Trust & Safety using both machine learning and generative AI. You’ll prototype intelligent systems, surface insights from behavioral data, and partner closely with product and engineering to ship impactful solutions. As a senior member of the team, you’ll play a key role in shaping model architecture, solving adversarial problems, and mentoring other scientists.

Responsibilities

• Design and run hypothesis-driven experiments and offline simulations to evaluate product changes and quantify business impact.
• Evaluate and prototype cutting-edge machine learning and generative AI technologies to detect fraud and malicious behavior.
• Investigate adversarial behaviors and develop robust detection strategies for emerging threats.
• Collaborate cross-functionally with engineering, product, design, and customer teams to build scalable, low-latency, high-impact solutions.
• Mentor junior team members and contribute to best practices in experimentation, modeling, and research-to-production workflows.

Requirements

• 5+ years of experience working as a data scientist or in a similar role in technology-focused teams.
• Experience developing models and insights from structured or sequential data, preferably in user activity log contexts.
• Strong proficiency in Python and SQL, familiarity with big data tools (Spark, Snowflake, etc.).
• Deep knowledge of machine learning techniques and data science best practices.
• Experience with Data Science analysis end-to-end, working closely with Engineering to productionize pipelines, and surface insights in a scalable way.
• Excellent communication skills with the ability to convey technical ideas to non-technical stakeholders.
• A self-starter mindset with the ability to navigate ambiguity and prioritize effectively.

Bonus Points

• Experience contributing to AI/ML research or innovation initiatives (publications, patents, open-source, or internal R&D).
• Trust & Safety domain experience.
• Hands-on experience with deep learning models, including LLMs, GenAI tools, prompt engineering, and fine-tuning.
• Experience working with scalable, real-time prediction systems in production.
• Advanced degree (MS or PhD) in Statistics, Artificial Intelligence, Computer Science, Applied Mathematics, Operations Research, or a related field.

Benefits and Perks

• Competitive Compensation: Includes financial rewards, an annual 5% bonus, and stock options.
• Health Insurance Stipend: Support for your medical and health-related needs.
• Sports and Wellness Stipend: Encouraging a healthy and active lifestyle.
• Work From Home Stipend: Support in creating a productive home office setup.
• Education Reimbursement: books, education courses, and conferences to support your professional growth.
• Mental Health Days: Additional paid day-offs to prioritize your well-being.
• Language and Public Speaking Development: English courses and social activities within the company to enhance your communication skills.

Our Interview Process

1. Introduction Interview: A 30-minute session with a recruiter to discuss your background and the role.
2. Technical Screening Interview: A 60-minute interview with the hiring manager to explore your fit for the position.
3. Virtual Onsite Loop with the Team: A comprehensive session comprising four interviews lasting approximately 4 hours, covering data science and ML background, coding abilities, cross-team collaboration & industry knowledge, and values-based conversations.

About Us

Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep in