Cohere Health is a transformative force in the healthcare industry, leveraging technology to enhance the quality of healthcare while reducing costs for patients and providers alike. The company focuses on intelligent, tech-driven solutions to streamline healthcare operations and deliver high-value care.

Joining Cohere Health as a Data Scientist presents an exciting opportunity to impact healthcare positively. You'll be delving into complex datasets to derive actionable insights, support decision-making processes, and drive innovative solutions that cater to diverse healthcare needs. This role requires proficiency in data analytics, machine learning, and a strong grasp of healthcare data intricacies.

In this guide, Interview Query will walk you through Cohere Health’s interview process for the Data Scientist position, sharing commonly asked questions and invaluable tips to help you prepare. Let's get started!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Cohere Health as a Data Scientist. Whether you were contacted by a Cohere 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 Cohere 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 Cohere 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 Cohere 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 Cohere 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 Cohere 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 Cohere Health.

Quick Tips For Cohere Health Data Scientist Interviews

• Know the Healthcare Domain: Cohere Health is a healthcare-focused company. Brush up on healthcare analytics, industry trends, and relevant case studies to show your domain knowledge.
• Be Proficient with Data Tools: Cohere Health places importance on data manipulation and analysis. Ensure you’re comfortable with tools such as SQL, Python, and ETL processes.
• Behavioral Questions Matter: Apart from technical skills, Cohere Health values cultural fit. Practice behavioral questions and have anecdotes ready that portray problem-solving, teamwork, and leadership skills.

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

• Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

• Write a function to find the maximum number in a list of integers. Given a list of integers, write a function that returns the maximum number in the list. If the list is empty, return None.

• Create a function convert_to_bst to convert a sorted list into a balanced binary tree. Given a sorted list, create a function convert_to_bst that converts the list into a balanced binary tree. The output binary tree should be balanced, meaning the height difference between the left and right subtree of all the nodes should be at most one.

• Write a function to simulate drawing balls from a jar. Write a function to simulate drawing balls from a jar. The colors of the balls are stored in a list named jar, with corresponding counts of the balls stored in the same index in a list called n_balls.

• Develop a function can_shift to determine if one string can be shifted to become another. Given two strings A and B, write a function can_shift to return whether or not A can be shifted some number of places to get B.

• What are the drawbacks of having student test scores organized in the given layouts? Assume you have data on student test scores in two different layouts. Identify the drawbacks of these layouts and suggest formatting changes to make the data more useful for analysis. Additionally, describe common problems seen in "messy" datasets.

• How would you locate a mouse in a 4x4 grid using the fewest scans? You have a 4x4 grid with a mouse trapped in one of the cells. You can scan subsets of cells to know if the mouse is within that subset. Describe a strategy to find the mouse using the fewest number of scans.

• How would you select Dashers for Doordash deliveries in NYC and Charlotte? Doordash is launching delivery services in New York City and Charlotte and needs a process for selecting dashers. Explain how you would decide which dashers to select and whether the criteria would be the same for both cities.

• What factors could bias Jetco's study on boarding times? Jetco, a new airline, had a study showing it has the fastest average boarding times. Identify potential factors that could have biased this result and what you would investigate further.

• How would you design an A/B test to evaluate a pricing increase for a B2B SAAS company? A B2B SAAS company wants to test different subscription pricing levels. Design a two-week A/B test to evaluate a pricing increase and determine if it is a good business decision.

• How much should a ride-sharing app budget for a $5 coupon initiative? A ride-sharing app has a probability (p) of dispensing a $5 coupon to a rider and services (N) riders. Calculate the total budget needed for the coupon initiative.

• What is the probability of riders getting a coupon? A driver using the app picks up two passengers. Determine:

• The probability of both riders getting the coupon.

• The probability that only one of them will get the coupon.

• What is a confidence interval for a statistic and why is it useful? Explain what a confidence interval is, why it is useful to know the confidence interval for a statistic, and how to calculate it.

• What is the probability that item X is found on Amazon's website? Amazon has a warehouse system where items are located at different distribution centers. Given the probabilities that item X is available at warehouse A (0.6) and warehouse B (0.8), calculate the probability that item X would be found on Amazon's website.

• Is a coin fair if it comes up tails 8 times out of 10 flips? You flip a coin 10 times, and it comes up tails 8 times and heads twice. Determine if this is a fair coin.

• What are time series models and why are they needed? Describe what time series models are and explain why they are necessary when less complicated regression models are available.

• How would you justify the complexity of building a neural network model and explain predictions to non-technical stakeholders? Your manager asks you to build a neural network model to solve a business problem. How would you justify the complexity of this model and explain its predictions to non-technical stakeholders?

• How would you evaluate the suitability and performance of a decision tree model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will repay a personal loan. How would you evaluate whether a decision tree is the correct model, and how would you assess its performance before and after deployment?

• How does random forest generate the forest, and why use it over logistic regression? Explain how a random forest algorithm generates its forest. Additionally, discuss why you might choose random forest over other algorithms like logistic regression.

• How would you explain linear regression to a child, a first-year college student, and a seasoned mathematician? Explain the concept of linear regression to three different audiences: a child, a first-year college student, and a seasoned mathematician. Tailor your explanations to each audience's understanding level.

• What are the key differences between classification models and regression models? Describe the main differences between classification models and regression models.

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

Q: What is the interview process at Cohere Health for a Data Scientist position?
The interview process at Cohere Health for a Data Scientist position typically consists of an initial phone screen, followed by technical assessments, and then panel interviews. These stages are designed to evaluate your technical expertise, problem-solving capabilities, and cultural alignment with the company values.

Q: What technical skills are required for the Data Scientist position at Cohere Health?
As a Data Scientist at Cohere Health, you should be proficient in programming languages such as Python or R, have experience with machine learning algorithms, data visualization tools, and statistical analysis. Familiarity with healthcare data and SQL is also highly beneficial.

Q: What is the company culture like at Cohere Health?
Cohere Health prides itself on fostering an inclusive, collaborative, and innovative work environment. The company values teamwork, continuous learning, and the well-being of both employees and patients. Expect a culture that encourages growth and supports making a positive impact in healthcare.

Q: What are some common interview questions for the Data Scientist role at Cohere Health?
Common interview questions may include behavioral questions about past projects, technical questions involving machine learning algorithms and statistical methods, and problem-solving scenarios related to healthcare data.

Q: How can I best prepare for an interview at Cohere Health?
To prepare for your interview at Cohere Health, ensure you understand their mission and values. Sharpen your technical skills, review key concepts in data science, and practice typical interview questions. Leverage resources like Interview Query for targeted preparation and mock interviews.

If you're keen on becoming a Data Scientist at Cohere Health, your journey starts here. Dive deeper into the specifics with our Cohere Health Interview Guide, where we've meticulously compiled potential interview questions. Additionally, explore guides tailored to other roles, such as software engineer and data analyst, to understand Cohere Health’s interview landscape across various positions.

At Interview Query, we aim to elevate your interview preparation by providing you with robust resources, empowering you with knowledge, confidence, and a strategic edge in your Cohere Health Data Scientist interview and beyond.

Check out all our company interview guides for enhanced preparation, and if you have any inquiries, feel free to reach out to us.

Best of luck with your interview!