Eleanor Health is a forward-thinking healthcare organization focused on transforming the delivery of addiction and mental health care. The company integrates evidence-based treatment, virtual care delivery, and peer support to provide comprehensive and personalized care solutions.

The Data Scientist position at Eleanor Health offers an exciting opportunity to leverage data to improve patient outcomes and optimize treatment processes. This role demands expertise in data analysis, machine learning, and statistical modeling, along with a keen understanding of healthcare data and its applications. As a Data Scientist, you'll contribute to innovative projects aimed at enhancing both patient and organizational health metrics.

If you're considering joining Eleanor Health, this guide is for you. We'll navigate through the interview process, typical Data Scientist interview questions, and offer valuable preparation tips. Let’s dive in with Interview Query to help you succeed!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Eleanor Health as a data scientist. Whether you were contacted by an Eleanor Health recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Eleanor Health Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the Eleanor Health data scientist hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Eleanor Health data scientist role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Eleanor Health’s data systems, ETL pipelines, and SQL queries.

In the case of data scientist roles, take-home assignments regarding product metrics, analytics, and data visualization are incorporated. Apart from these, your proficiency against hypothesis testing, probability distributions, and machine learning fundamentals may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the Eleanor Health office. Your technical prowess, including programming and ML modeling capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the data scientist role at Eleanor Health.

Quick Tips For Eleanor Health Data Scientist Interviews

• Know Your Healthcare Data: Eleanor Health is deeply involved in the healthcare industry. Understand common healthcare datasets and how data science can be applied to improve patient outcomes.
• Brush Up on Statistical Knowledge: Data science interviews often include questions on probability distributions, hypothesis testing, and other statistical concepts. Make sure you’re comfortable with these areas.
• Demonstrate Your Soft Skills: Eleanor Health values collaboration and effective communication. Be prepared to answer behavioral questions that showcase your teamwork and problem-solving abilities.

Typically, interviews at Eleanor Health vary by role and team, but commonly Data Scientist interviews follow a fairly standardized process across these question topics.

• How would you interpret coefficients of logistic regression for categorical and boolean variables? Explain how to interpret the coefficients of logistic regression when dealing with categorical and boolean variables.

• How would you design a machine learning model to classify major health issues based on health features? You work as a machine learning engineer for a health insurance company. Design a model that classifies if an individual will undergo major health issues based on a set of health features.

• What metrics and statistical methods would you use to identify dishonest users in a sports tracking app? You work for a company with a sports app that tracks running, jogging, and cycling data. Formulate a method to identify users who might be cheating, such as driving a car while claiming to be on a bike ride. Specify the metrics and statistical methods you would analyze to detect athletic anomalies.

• Develop a function str_map to determine if a one-to-one correspondence exists between characters of two strings at the same positions. Given two strings, string1, and string2, write a function str_map to determine if there exists a one-to-one correspondence (bijection) between the characters of string1 and string2.

• Build a logistic regression model from scratch using gradient descent without an intercept term. Create a logistic regression model from scratch using basic gradient descent and the log-likelihood as the loss function. Do not include an intercept term or a penalty term. You may use numpy and pandas but not scikit-learn. Return the parameters of the regression.

• Why are job applications decreasing despite stable job postings? You observe that the number of job postings per day has remained stable, but the number of applicants has been steadily decreasing. What could be causing this trend?

• What would you do if friend requests on Facebook are down 10%? A product manager at Facebook informs you that friend requests have decreased by 10%. How would you address this issue?

• How would you assess the validity of an AB test result with a 0.04 p-value? Your company is running an AB test on a feature to increase conversion rates on the landing page. The PM reports a p-value of 0.04. How would you evaluate the validity of this result?

• How would you analyze the performance of a new LinkedIn feature without an AB test? LinkedIn has launched a feature allowing candidates to message hiring managers directly during the interview process. Due to engineering constraints, an AB test was not conducted. How would you analyze the feature's performance?

• Should Square hire a customer success manager or offer a free trial for a new product? Square's CEO wants to hire a customer success manager for a new software product, while another executive suggests offering a free trial instead. What would be your recommendation?

• How would you build a fraud detection model using a dataset of 600,000 credit card transactions? Imagine you work at a major credit card company and are given a dataset of 600,000 credit card transactions. Describe your approach to building a fraud detection model.

• How would you interpret coefficients of logistic regression for categorical and boolean variables? Explain how to interpret the coefficients of logistic regression when dealing with categorical and boolean variables.

• How would you tackle multicollinearity in multiple linear regression? Describe the methods you would use to address multicollinearity in a multiple linear regression model.

• How would you design a facial recognition system for employee clock-in and secure access? You work as an ML engineer for a large company that wants to implement a facial recognition system for employee clock-in, clock-out, and access to secure systems. The system should also accommodate temporary contract consultants. How would you design this system?

• How would you handle data preparation for building a machine learning model using imbalanced data? Explain the steps you would take to prepare data for building a machine learning model when dealing with imbalanced data.

What is the average salary for a Data Scientist at Eleanor Health?

Q: What is the interview process at Eleanor Health like?

A: The interview process at Eleanor Health typically includes an initial phone screen with a recruiter, a technical interview to assess your data science skills, and an onsite interview that may involve problem-solving exercises and a cultural fit assessment.

Q: What are the essential skills needed for a Data Scientist position at Eleanor Health?

A: Essential skills for a Data Scientist at Eleanor Health include proficiency in Python, SQL, and statistical analysis. Experience with machine learning algorithms, data visualization tools, and a strong understanding of healthcare data are also highly beneficial.

Q: What does the company culture look like at Eleanor Health?

A: Eleanor Health fosters a supportive and collaborative company culture focused on treating addiction and mental health issues. The organization values diversity, empathy, and a team-oriented approach to tackling healthcare challenges.

Q: How can I best prepare for an interview at Eleanor Health?

A: To prepare for an interview at Eleanor Health, practice data science problems on Interview Query to sharpen your technical skills. Additionally, familiarize yourself with the company's mission and values, and be ready to discuss how your background and experience align with their goals.

Q: What should I expect from the onsite interview?

A: During the onsite interview at Eleanor Health, you can expect a mix of technical and behavioral questions. There will likely be problem-solving sessions, discussions about your previous projects, and assessments to gauge how well you'll fit within the team and company culture.

Eleanor Health is committed to transforming the delivery of addiction and mental health treatment, making this Data Scientist role an exciting opportunity to contribute to impactful work. If you want more insights about the company, check out our main Eleanor Health Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, where you can learn more about Eleanor Health’s interview process for different positions.

At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every Eleanor Health interview question and challenge.

You can check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!