Riskified Data Scientist Team Lead
Job Summary
Riskified is currently hiring a Data Scientist Team Lead to join their amazing team
Riskified empowers businesses to unleash e-commerce growth by taking risk off the table. Many of the worlds 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 the largest team of e-commerce risk analysts data scientists and researchers Riskifieds 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.
They thrive in a collaborative work setting alongside great people to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves leaving a lasting impact. These sentiments capture why we choose Riskified every day.
They thrive in a collaborative work setting alongside great people to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves leaving a lasting impact. These sentiments capture why we choose Riskified every day.
About the role: 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.
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 youll 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 the business value of data science initiatives
- Forecast team needs and advocate for the necessary tools and infrastructure
Qualifications
- 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
Advantage
- Experience in the fraud domain -Strong advantage
- Experience with Airflow CircleCI PySpark Docker and K8S
Perks & benefits
- Hybrid mode of work
- Flexible schedule
- Recharge weekends
- Healthcare & dental benefits
- Fully-stocked kitchens
- Commuter benefits
- Benefits package per monthper your choice e.g. work-from-home equipment gym membership wellbeing activities and 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
If youre ready to take on impactful challenges and excel in a collaborative forward-thinking team we encourage you to get in touch with us
Required Experience:
IC
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