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Requirements found
Scheduling (must) Compliance Sql (must) Python (must) Supervising (must) Recruiting (nice)
What this posting asks for
Level: Senior — The title says "Senior".
Main responsibilities
- Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a r…
- Pay Transparency: The base pay for this role is: $163,944 - $215,176 per year. You are also eligible for employee benefits, participation in Oscar's unlimite…
- Design, build, and maintain data pipelines, machine learning models, and analytical tools supporting Oscar’s fraud detection and prevention efforts.
- Partner closely with SIU and Medical Economics to understand business needs, translate them into data science solutions, and independently manage stakeholder…
- Own projects end-to-end, including problem definition, technical design, implementation, validation, and ongoing evaluation and improvement.
- Interact and collaborate closely with data and business counterparts across functional areas
- Work with your team and manager to identify opportunities and contribute to the fraud data science roadmap and longer-term technical direction.
- Provide mentorship and technical guidance to junior data scientists.
- Compliance with all applicable laws and regulations.
- Other duties as assigned.
Competencies an interviewer will look for
- Ownership and accountability Core
In the posting: “You will independently manage stakeholder relationships for your projects, translate business needs into technical solutions, and contribute to the fraud dat…” · “You will own projects end-to-end—scoping problems with stakeholders, designing the technical approach, implementing pipelines and models, validating outputs,…” · “Partner closely with SIU and Medical Economics to understand business needs, translate them into data science solutions, and independently manage stakeholder…”
Show it by: Takes a task from start to finish without being chased; Owns a mistake and what was changed after it. - Leadership and mentoring Core
In the posting: “Beyond individual projects, you will contribute to the team’s technical direction and mentor junior data scientists.” · “Provide mentorship and technical guidance to junior data scientists.” · “Experience applying supervised or unsupervised machine learning techniques, such as predictive modeling, anomaly detection, clustering, or graph/network anal…”
Show it by: Describes setting direction or a standard others followed; Names someone they coached and what changed for them. - Planning and organisation Core
In the posting: “Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week.” · “Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule.” · “Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) …”
Show it by: Shows how priorities were set when everything was urgent; Mentions deadlines met and how. - Data and analysis Core
In the posting: “We're hiring a Senior Data Scientist, Fraud to join our Data Team.” · “Oscar's data team is focused on pushing our understanding of the complex landscape of the healthcare and insurance business.” · “Insurance companies sit on a trove of data that is both broad and deep—spanning financial claims, clinical medical records, and rich product interaction data…”
Show it by: Uses a number to describe the situation or the result; Explains what the data showed and what was done with it. - Stakeholder management Core
In the posting: “As a Senior Data Scientist on this team, you will partner closely with stakeholders to understand business challenges and identify opportunities for data sci…” · “You will independently manage stakeholder relationships for your projects, translate business needs into technical solutions, and contribute to the fraud dat…” · “You will own projects end-to-end—scoping problems with stakeholders, designing the technical approach, implementing pipelines and models, validating outputs,…”
Show it by: Shows how they aligned people with different goals; Explains how they handled a 'no' from someone senior. - Teamwork and collaboration Core
In the posting: “The Senior Data Scientist, Fraud will help shape Oscar’s fraud data science capabilities and partner with the Medical Economics team and Special Investigatio…” · “Interact and collaborate closely with data and business counterparts across functional areas”
Show it by: Says what they did inside a team, not only what 'we' did; Shows how a disagreement was handled. - Technical skill Supporting
In the posting: “3+ years of experience using SQL and Python to query, manipulate, and analyze data.”
Show it by: Names the tools, languages or systems used and how; Explains a technical choice and its trade-off. - Problem solving Supporting
In the posting: “The Senior Data Scientist, Fraud will help shape Oscar’s fraud data science capabilities and partner with the Medical Economics team and Special Investigatio…”
Show it by: Describes a real problem, the options considered and the one chosen; Shows how the cause was found, not just the fix. - Adaptability and learning Supporting
In the posting: “Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule.”
Show it by: Describes learning something new quickly and using it; Shows a change of plan and how they adjusted. - Attention to detail and quality Supporting
In the posting: “Compliance with all applicable laws and regulations.”
Show it by: Gives an example of an error caught before it caused harm; Names the check or standard they used.
Read from the posting's own words by fixed rules — no AI service. Nothing you paste is sent anywhere or stored.
Read the interview answer library
Strong sample answers to every practice question below, with why they work and the mistakes that cost points. Nothing to type.
Interview journey 25 questions in groups of 5, a new random order each time, then the HR Perspective analysis; no account needed.
HR Perspective question bank Browse 53 prompts with topic filters, answer criteria and follow-up practice.
Practice questions
- Tell me about yourself. Dedicated step-by-step practice.
- If an interviewer asks something improper How to respond to questions about age, family, origin or health.
- Built from this posting (8):
- Tell me about a task you took from start to finish without anyone asking you to. From this posting
- Tell me about a time you helped someone on your team get better at their work. From this posting
- You have three urgent tasks due today and time to finish only two. How do you decide? From this posting
- Tell me about a time you used data or numbers to make a decision. From this posting
- How have you used scheduling in your work? Walk me through one real example. From this posting
- Tell me about a problem you solved using sql. From this posting
- Walk me through a piece of work where you used your strongest technical skill. What exactly did you do? From this posting
- Tell me about a difficult problem you solved at work. How did you find the cause? From this posting
- This posting reads as Data analysis: its questions come first.
- Tell me about an analysis that changed a decision. Data analysis
- How do you check that a query or spreadsheet you built gives the right answer? Data analysis
- Describe a new tool or technique you learned to finish a piece of work. Data analysis
- Describe a time you found that the data you were given was wrong. Data analysis
- A manager asks you for 'the numbers' by tomorrow with no further detail. What do you do? Data analysis
- What makes a dashboard useful, and how have you built one? Data analysis
- Tell me about a time you explained a statistical result to people without a data background. Data analysis
- Sales dropped 15% last month. How would you find out why? Data analysis
- Two managers ask you to book the same room at the same time. What do you do?
- Walk me through how you would check whether a report's numbers are right.
- Describe a time you handled an upset customer or colleague.
- Tell me about a time you had several deadlines at once. How did you decide what to do first?
- Give an example of a mistake you caught before it caused a problem.
- Tell me about a time you taught someone how to do something.
- Describe a time you took the lead without being asked.
- Tell me about a time you had to explain something complicated in simple terms.
- Describe a process you improved.
- Do you have any questions for us?
- Why do you want to work here?
- Why is there a gap in your employment? Difficult question
- Why did you leave your last job? Difficult question
- Why are you changing careers? Difficult question
- What is your greatest weakness? Difficult question
- What are your salary expectations? Difficult question
- You seem overqualified for this role. Why do you want it? Difficult question
- Improper-question practice: How old are you? / Do you have children? / Where are you from originally?
- A customer is angry about a delay you did not cause. What do you do?
- How do you keep track of many open customer requests?
- Tell me about a time you could not give a customer what they wanted.
- You find that the inventory count does not match the system. What do you do?
- Tell me about a time a shipment or delivery went wrong.
- How do you make sure safety rules are followed on a busy shift?
- How have you used spreadsheets in your work?
- Tell me about a time you had to enter or check a lot of data accurately.
- Tell me about a sale or agreement you are proud of.
- A prospect says your price is too high. How do you respond?
- How do you keep your pipeline organised?
- Tell me about a technical problem you solved on your own.
- You find a bug right before a release. What do you do?

