Senior Data Scientist at Sift

At Sift, we are the pioneers of Digital Trust and Safety. We help businesses across the globe protect their platforms and their users from the risks of fraud and abuse. By leveraging advanced machine learning, user behavior analytics, and the latest in AI technology, we create a safer internet experience while reducing friction for our customers. We are currently looking for a talented individual to join our mission and help us build the next generation of intelligent security solutions.

About the Role

We are searching for a Senior Data Scientist to join our Core Data Science team on a full-time, on-site basis. In this role, you will be at the forefront of our efforts to combat fraud using both traditional machine learning and generative AI. You will be responsible for prototyping intelligent systems, uncovering deep insights from behavioral data, and working alongside our product and engineering teams to deploy high-impact solutions. As a senior member of our group, you will also take a lead role in defining model architecture, tackling complex adversarial challenges, and mentoring other scientists on the team.

Key Responsibilities

• Design and execute experiments and simulations to measure the business impact of product changes.
• Evaluate and prototype new machine learning and generative AI technologies to identify malicious activity.
• Investigate adversarial threats and build robust strategies to detect and mitigate emerging fraud patterns.

Requirements

To be successful in this role, you should possess a strong background in data science and a passion for solving difficult technical problems. We look for candidates who meet the following criteria:

• At least 5 years of professional experience as a data scientist within a technology-focused environment.
• Proven ability to develop models and extract insights from structured or sequential data, particularly user activity logs.
• High proficiency in Python and SQL, along with familiarity using big data tools like Spark or Snowflake.
• A deep understanding of machine learning techniques and industry best practices.
• Experience managing the full data science lifecycle, from initial analysis to productionizing pipelines.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical partners.
• A self-starter mindset that allows you to thrive in ambiguous situations and prioritize effectively.

Location

This position is based in Ukraine.

Compensation and Benefits

We are committed to supporting our team members both professionally and personally. Our benefits package includes:

• Stock options.
• Comprehensive medical insurance.
• Access to wellness programs.
• Support for a productive work from home environment.
• Opportunities for professional development and ongoing education.
• Paid time off to ensure a healthy work-life balance.