Data Scientist
Riskified · Tel Aviv-Yafo, Tel Aviv District, Israel
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- On site
- Full-time
- $140,000 / year
- Tel Aviv-Yafo, Tel Aviv District, Israel
Job highlights
- Develop algorithms and production-grade data solutions.
- Apply advanced machine learning and statistical techniques.
- Analyze and transform complex data sets.
- Collaborate with cross-functional teams.
- Drive data-driven decision-making.
About the role
About Us
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 the largest 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 Booking.com, 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 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 Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing
- Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
- Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
- Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
- Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
- Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
- Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
- Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
- Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities
Qualifications
- B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field
- 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production.
- Strong understanding and practical experience with various machine learning algorithms.
- Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis
- 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, formulate hypotheses, and translate them into actionable solutions
- Proficiency in data visualization libraries, to create meaningful visual representations of complex data
- Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders
- Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment
Advantages:
- Experience in the fraud domain
- Experience with Airflow, CircleCI, PySpark, Docker and K8s
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.
Our Tel-Aviv team is currently working in a hybrid of remote and in-office work. 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.
Key skills/competency
- Data Scientist
- Machine Learning
- Python
- SQL
- Data Visualization
- Statistical Modeling
- Feature Engineering
- Data Exploration
- Anomaly Detection
- Deep Learning
Skills & topics
- Data Scientist
- Machine Learning
- Python
- SQL
- Data Analysis
- Statistical Modeling
- Feature Engineering
- Algorithm Development
- Big Data
- Risk Management
How to get hired
- Tailor your resume: Highlight your 3+ years of ML algorithm deployment experience.
- Showcase Python & SQL: Emphasize proficiency with data manipulation tools like Pandas/NumPy.
- Quantify achievements: Use data visualization and statistical concepts in your examples.
- Demonstrate collaboration: Provide examples of working with diverse teams.
- Prepare for technical questions: Review ML algorithms, statistical concepts, and problem-solving approaches.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Data Scientist at Riskified?
- As a Data Scientist at Riskified, you will be responsible for the end-to-end development and implementation of algorithms and analytical solutions. This includes data exploration, statistical analysis, machine learning model development, feature engineering, model evaluation, and data visualization. You will also collaborate with cross-functional teams to implement data-driven solutions and stay updated on the latest advancements in data science.
- What qualifications are required for the Data Scientist position at Riskified?
- Riskified requires a B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field, along with 3+ years of experience in designing and deploying machine learning algorithms. Proficiency in Python, SQL, and data manipulation tools like Pandas/NumPy is essential, as is a strong foundation in statistical concepts and techniques. Excellent analytical, critical thinking, and communication skills are also necessary.
- What are the advantages of working as a Data Scientist at Riskified?
- Advantages include working with a fast-growing tech company, opportunities for professional development, and contributing to impactful products. Specific perks in Tel Aviv include equity, Keren Hishtalmut, pension, private medical insurance, commuter benefits, team events, and wellness activities. You'll also have access to global onboarding, skills-based courses, and Udemy.
- Does Riskified offer opportunities for remote or hybrid work for Data Scientists?
- Yes, the Tel-Aviv team currently operates on a hybrid remote and in-office work model. This offers flexibility for employees to balance their work and personal lives while contributing to the company's goals.
- What kind of machine learning algorithms does Riskified use in its Data Science roles?
- Riskified leverages a wide range of advanced techniques, including classification models, NLP, anomaly detection, graph theory, and deep learning. The Data Scientist role involves developing and implementing various machine learning algorithms such as classification, regression, and clustering to solve business problems.
- What are the preferred technical skills for a Data Scientist at Riskified?
- Key technical skills include proficiency in Python and SQL, experience with data manipulation tools (Pandas, NumPy), and familiarity with data visualization libraries. A strong understanding of statistical concepts and various machine learning algorithms is also crucial. Experience with tools like Airflow, CircleCI, PySpark, Docker, and K8s is considered an advantage.
- How does Riskified support the professional development of its Data Scientists?
- Riskified is committed to professional development through global onboarding, skills-based courses, full access to Udemy, and regular lunch & learns. They encourage employees to stay updated with the latest advancements in data science and explore new approaches.