Riskified - Job Description
Requirements
• 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 • 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.
Responsibilities
• 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
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 • Awesome Riskified gifts and swags • Volunteer programs • Personal development • Global onboarding • Role-based technical skills training • Full access to Udemy • In the News • C-Tech: We need to find the balance between leveraging innovative AI solutions and using them cautiously • Built In: How We Built This: A Riskified Technologist Unpacks The Company’s Beacon Technology • Globes: Riskified is among Israel’s fastest growing companies • Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories • 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. • word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word word
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