Data Scientist- Autonomous

As a Data Scientist at Riskified, you will be responsible for data exploration and preprocessing, statistical analysis and modeling, machine learning algorithm development, feature engineering, model development and evaluation, data visualization, and collaborative problem-solving. Additionally, you will be expected to stay updated on the latest advancements in data science and contribute innovative solutions.

To apply for the Data Scientist role at Riskified, you should have at least a B.Sc in Statistics, Computer Science, Mathematics, or a related field. A Master's degree is highly encouraged. Additionally, 3+ years of experience in designing and implementing machine learning algorithms is essential, alongside proficiency in Python or R and SQL.

A Data Scientist at Riskified should be proficient in programming languages like Python or R, as these are crucial for data manipulation, statistical analysis, and developing machine learning models. Familiarity with SQL and data manipulation tools such as Pandas and NumPy is also important.

Skills that are highly valuable for a Data Scientist at Riskified include a strong foundation in statistical concepts and techniques, expertise in machine learning algorithms, excellent analytical and critical thinking abilities, as well as proficiency in data visualization libraries like Matplotlib and Seaborn. Strong communication skills are also essential to convey insights to non-technical stakeholders.

Data Scientists at Riskified in Tel Aviv enjoy a range of benefits including equity for all employees, private medical insurance, extra time off for parents and caregivers, and various team events. The company also prioritizes professional development through skills-based courses and a commitment to creating a positive work environment.

In answering this question, highlight specific projects where you've implemented machine learning algorithms. Discuss the algorithms you used, the challenges you faced, and the outcome of your projects, showcasing your problem-solving skills and impact on the business.

Explain your systematic approach to data exploration and preprocessing. Discuss the tools and techniques you use to assess data quality, handle missing values, and ensure that data is in the right format for analysis, which is crucial for a Data Scientist at Riskified.

Detail your background in statistical modeling by discussing specific methods you’ve used, such as regression analysis or hypothesis testing. Provide examples that demonstrate how your statistical analyses have led to actionable insights in previous roles.

Focus on your communication strategy when discussing complex data findings. Talk about how you simplified technical concepts and used data visualization to make the information accessible, ensuring that stakeholders understood the implications for their projects.

Discuss the data visualization tools you're proficient in, such as Matplotlib or Seaborn. Explain why you choose these tools for specific projects, focusing on how they help in effectively communicating your data insights to teams and stakeholders.

Explain the evaluation metrics you use, such as precision, recall, F1 score, or AUC-ROC. Provide specific examples from your previous experiences to demonstrate your understanding of model evaluation and how these metrics impacted your projects.

Discuss your approach to feature engineering, including how you identify relevant features from data and create new variables that enhance model performance. Provide examples or case studies from your experience to illustrate your methods.

Talk about your proactive approach to professional development, such as taking online courses, attending workshops, reading research papers, or participating in data science communities. This shows your commitment to staying ahead in the field, essential for a role at Riskified.

Provide a specific example that showcases your analytical skills, defining the problem, the methodologies you applied, and the ultimate results of your analysis. Emphasize your problem-solving approach in the context of achieving business goals.

Express your enthusiasm for Riskified's mission and how your skills align with the company's goals. Discuss what excites you about the role, such as the opportunity to work with large datasets, innovative technologies, and collaborate with cross-functional teams.