Data Scientist
Tel Aviv
Applications have closed
Riskified
Leading global ecommerce enterprises leverage Riskified's AI-powered fraud and risk intelligence platform for chargeback guarantee, to grow revenues, and to fight fraud and policy abuse at scale.About Us
Riskified empowers merchants and shoppers to realize the full potential of eCommerce by making it safe, accessible, and frictionless. Our global team helps the world’s most-innovative eCommerce merchants eliminate risk and uncertainty from their business. Merchants integrate Riskified’s machine learning platform to create trusted customer relationships, driving higher sales while reducing costs. Riskified has reviewed hundreds of millions of transactions and approved billions of dollars of revenue for global brands and fast-growing businesses across industries, including Wayfair, Wish, Peloton, Gucci, and many more. As of July 29th, 2021, Riskified has begun trading on NYSE under the ticker RSKD. Check out the Riskified Technology Blog for a deeper dive into our R&D work.
Our Research Team
- We are focused on bringing value to Riskified through the development of models and analytical solutions across domains. We use a wide variety of advanced techniques and algorithms to provide maximum value from data in all shapes and sizes: classic ML and deep learning, supervised and unsupervised, NLP, anomaly detection, graph theory, and more.
- We use the most cutting-edge solutions - from event driven (Kafka), to big data solutions (Spark), Cloud operations (Docker & Kubernetes), Workflow orchestration (Airflow & Argo) and Machine Learning Platforms (Databricks & Kubeflow), working in Python and R.
- We’re a friendly, fun and diverse team. We’re passionate about making data-driven decisions, being open-minded and creative, while communicating openly and honestly. We thrive in a continuous learning culture to promote growth and remain at the forefront of technological innovation.
About the Role
The Data Science department is focused on bringing value to Riskified through the development of algorithms and analytical solutions. As a data scientist in the department, you will be a valuable member of an innovative and technical data science team working on various problems. The department uses a wide variety of 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).
The team uses versatile methods (From statistical modeling to tree-based methods, embeddings and graphs) to optimize the performance of our models, and develops flows to prevent fraud in various domains. We work in big-data settings (e.g. spark, kafka, etc.) champion our ability to work end-to-end from exploration to production using the latest engineering methodologies (Using technologies such as Docker/ Airflow/ Kubernetes/ Databricks). We are responsible for the design, research and development of these tools, hence part of our work includes writing production code.
What You'll Be Doing
- Understand and explore the fraud domain, highlight performance issues and modeling gaps.
- Work to improve Riskified’s core product algorithm’s accuracy by developing machine learning tools.
- Work with Product & Dev teams to enhance processes and expedite model development life-cycles
- Mentor team members in a variety of Data Science projects
Qualifications
- 3+ years experience as a data scientist, applied researcher or similar in the industry
- M.Sc/Ph.D in exact sciences
- Experience in Machine Learning techniques & Data Science best practices
- Deep theoretical knowledge in ML algorithms, solid understanding of statistics and applied mathematics
- Extensive knowledge in classification problems of imbalanced data sets, including experience with boosting trees & ensembles
- Ability to write clean and concise code, ideally in Python
- Excellent communication skills with the ability to clearly explain complex concepts to business stakeholders
- Creative thinker with a proven ability to innovate through data exploration and application of non-trivial solutions
- Experience using Spark/Docker/Kubernetes and CI/CD - Advantage
- Experience with Bayesian Optimization / Control systems - Advantage
Life at Riskified
We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us.
COVID-19 Update:
- Our Tel-Aviv team is currently working in a hybrid of remote and in-office work for all our team members. We have recently moved to our new space in Tel Aviv - check it out here!
Some of our Tel Aviv Benefits & Perks:
- Equity for all employees, Keren Hishtalmut, pension
- Private medical insurance, extra time off for parents and caregivers
- Commuter and parking benefits
- Team events, fully-stocked kitchen, lunch stipend, happy hours, yoga, pilates, functional training, basketball, soccer
- Wide-ranging opportunities to volunteer and make an impact
- Commitment to your professional development with global onboarding, skills-based courses, full access to Udemy, lunch & learns
- Awesome Riskified gifts and swag!
In the News
Geektime: Riskified Goes Public
Walla!: Happy Hour at the Riskified Offices
Geektime Insider: A look at Riskified Tel Aviv
Globes: Riskified to contribute the highest amount up to date to Tmura
Globes: Riskified is among Israel’s fastest growing companies
TechCrunch: Riskified Prevents Fraud on Your Favorite E-commerce Site
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Bayesian Big Data CI/CD Classification Databricks Deep Learning Docker E-commerce Engineering Kafka Kubeflow Kubernetes Machine Learning Mathematics ML models NLP Python R R&D Research Spark Statistical modeling Statistics
Perks/benefits: Career development Health care Home office stipend Insurance Snacks / Drinks Team events Yoga
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