Data Science Team Lead

About the Company

Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by a large team of ecommerce risk analysts, data scientists, and researchers, Riskified’s AI‑powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real‑time decisions and robust identity‑based insights. Riskified is proud to work with incredible companies in virtually all industries, including Acer, Gucci, Lorna Jane, GoPro, and many more.

We thrive in a collaborative work setting alongside great people to build and enhance products that matter. Abundant opportunities to create and contribute give us a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.

About the Role

*** A third party will recruit, hire, and employ this position.

The Data Science department plays a pivotal role in our company, generating value to Riskified by developing algorithms and analytical production‑grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes, such as classification models, NLP, anomaly detection, graph theory, deep learning, and more.

As a Data Science Team Leader, you will lead a talented team of data scientists while maintaining hands‑on involvement in complex technical projects. You will be responsible for recruiting, mentoring, and developing team members while ensuring the delivery of high‑impact machine learning solutions for fraud detection and risk assessment.

What You'll Be Doing

Technical Leadership

• Define technical approaches for complex data science projects involving tabular data at scale
• Lead critical projects and contribute code to production systems
• Establish and maintain best practices for model development, evaluation, and deployment
• Conduct code reviews to ensure quality, maintainability, and adherence to standards
• Guide team members through complex technical challenges

Team Leadership & Management

• Recruit, onboard, mentor, and manage data scientists
• Foster a collaborative, innovative environment that encourages experimentation and knowledge sharing
• Work closely with data engineers, ML engineers, fraud domain experts, and product managers
• Define success metrics and demonstrate business value of data science initiatives
• Forecast team needs and advocate for necessary tools and infrastructure

Qualifications

Required

• M.Sc in Computer Science, Mathematics, Statistics, or a related field
• 6+ years of proven experience designing and implementing machine learning algorithms with tabular data and successfully deploying them to production
• 3+ years of experience managing and leading data science teams (minimum 3 direct reports)
• Demonstrated track record in recruiting, interviewing, and hiring data science talent
• Strong understanding and practical experience with various machine learning algorithms for structured/tabular data
• Strong programming skills with high standards for code quality – proficiency in Python with experience writing clean, maintainable, production‑grade code
• Experience with data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform large‑scale tabular datasets
• Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design
• Strong analytical and critical thinking skills to approach business problems and translate them into actionable solutions
• Demonstrated ability to lead cross‑functional teams and contribute to a positive work environment

Advantages

• Experience in the fraud domain – Strong advantage
• Experience with Airflow, CircleCI, PySpark, Docker and K8S

Benefits

• Hybrid mode of work
• Flexible schedule
• Healthcare benefits
• Fully‑stocked kitchens
• Benefits package per month—per your choice, e.g., work‑from‑home equipment, gym membership, wellbeing activities, and more.
• Wellness program
• Celebrations and activities
• Team events
• Happy hours
• Awesome Riskified gifts and swags
• Volunteer programs
• Personal development
• Global onboarding
• Role‑based technical skills training
• Full access to Udemy

Equal Opportunity Statement

Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

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