Bentley Systems, a leader in infrastructure engineering software, is dedicated to advancing global infrastructure while supporting both the economy and the environment. Renowned for its innovative solutions, Bentley Systems provides cutting-edge software used in the design, construction, and management of diverse projects, from roads and bridges to mining and industrial facilities.

As a Data Scientist at Bentley Systems, you will join a collaborative and versatile team focused on utilizing data to create, prototype, and implement large-scale solutions. You will oversee the entire data science pipeline, from exploration to model deployment, and work with cross-functional teams to deliver actionable insights and innovative data products. By joining Bentley Systems, you will drive exciting projects and contribute to the continuous improvement of best practices in data science.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Bentley Systems as a Data Scientist. Whether you were contacted by a Bentley Systems 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 Bentley Systems 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 Bentley Systems 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 Bentley Systems 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 Bentley Systems’ data systems, ETL pipelines, and SQL queries.

In the case of data scientist roles, take-home assignments regarding data product development, machine learning model deployment, and data narrative crafting 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 Bentley Systems 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 Bentley Systems.

Quick Tips For Bentley Systems Data Scientist Interviews

• Brush Up on Statistical and Machine Learning Skills: Bentley Systems values strong experience with machine learning concepts and techniques. Be ready to discuss and apply these concepts to real-world problems.

• Be Collaborative: Your ability to work effectively with people from different departments and levels of the organization is essential. Showcase your excellent communication and collaboration skills through examples.

• Know the Industry: Understanding Bentley Systems' focus on infrastructure engineering software can give you an edge. Be familiar with their products and think about how your role as a data scientist could enhance their solutions.

Typically, interviews at Bentley Systems 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 merge two sorted lists into one sorted list. Given two sorted lists, write a function to merge them into one sorted list. Bonus: Determine the time complexity.

• Create a function missing_number to find the missing number in an array. You have an array of integers, nums of length n spanning 0 to n with one missing. Write a function missing_number that returns the missing number in the array. Complexity of (O(n)) required.

• Develop a function precision_recall to calculate precision and recall metrics from a 2-D matrix. Given a 2-D matrix P of predicted values and actual values, write a function precision_recall to calculate precision and recall metrics. Return the ordered pair (precision, recall).

• Write a function to search for a target value in a rotated sorted array. Given a rotated sorted array and a target value, write a function to search for the target value. If the value is in the array, return its index; otherwise, return -1. Bonus: The algorithm's runtime complexity should be in the order of (O(\log n)).

• Would you suspect anything unusual about the A/B test results with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Would you consider this result suspicious?

• How would you set up an A/B test to optimize button color and position for higher click-through rates? A team wants to A/B test changes in a sign-up funnel, such as changing a button from red to blue and/or moving it from the top to the bottom of the page. How would you design this test?

• What steps would you take if friend requests on Facebook are down 10%? A product manager at Facebook reports a 10% decrease in friend requests. What actions would you take to investigate and address this issue?

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

• What are the drawbacks of the given student test score datasets, and how would you reformat them for better analysis? You have data on student test scores in two different layouts. What are the drawbacks of these formats, and what changes would you make to improve their usefulness for analysis? Additionally, describe common issues found in "messy" datasets.

• Is this a fair coin? You flip a coin 10 times, and it comes up tails 8 times and heads twice. Determine if the coin is fair based on this outcome.

• How do you write a function to calculate sample variance? Write a function that outputs the sample variance given a list of integers. Round the result to 2 decimal places. Example input: test_list = [6, 7, 3, 9, 10, 15]. Example output: get_variance(test_list) -> 13.89.

• Is there anything suspicious about the A/B test results? Your manager ran an A/B test with 20 different variants and found one significant result. Would you consider the results suspicious? Explain why or why not.

• How do you find the median in (O(1)) time and space? Given a list of sorted integers where more than 50% of the list is the same repeating integer, write a function to return the median value in (O(1)) computational time and space. Example input: li = [1,2,2]. Example output: median(li) -> 2.

• What are the drawbacks of the given data organization, and how would you reformat it? You have data on student test scores in two different layouts. Identify the drawbacks of the current organization, suggest formatting changes for better analysis, and describe common problems in "messy" datasets.

• How would you evaluate whether using a decision tree algorithm is the correct model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will pay back a personal loan. How would you evaluate if a decision tree is the right choice, 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 the process by which a random forest generates its ensemble of trees. Additionally, discuss the advantages of using random forest over logistic regression.

• When would you use a bagging algorithm versus a boosting algorithm? Compare two machine learning algorithms. Describe scenarios where you would prefer a bagging algorithm over a boosting algorithm, and discuss the tradeoffs between the two.

• How would you justify using a neural network model and explain its 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?

• What metrics would you use to track the accuracy and validity of a spam classifier for emails? You are tasked with building a spam classifier for emails and have completed a V1 of the model. What metrics would you use to evaluate the model's accuracy and validity?

What is the average salary for a Data Scientist at Bentley Systems?

Q: What does the role of a Data Scientist at Bentley Systems entail? A: As a Data Scientist at Bentley Systems, you will be involved in the end-to-end data science pipeline. This includes collecting, processing, and organizing data, performing exploratory data analysis, developing predictive models and algorithms, and deploying these models in production. Collaboration with cross-functional teams to translate data insights into business strategies is also a key part of the role.

Q: What skills and qualifications are needed for the Data Scientist position at Bentley Systems? A: Candidates should possess a bachelor's or master's degree in a relevant field such as computer science, mathematics, or statistics, or have equivalent work experience. Proficiency in Python, SQL/HQL, and PySpark is required, with experience in Databricks and MLFlow being desirable. Additionally, strong machine learning skills and excellent communication and collaboration abilities are crucial.

Q: What is the company culture at Bentley Systems like? A: Bentley Systems boasts a supportive and collaborative environment with a global and diverse team. The company values flexibility, career advancement opportunities, and offers a range of benefits including competitive salaries, colleague recognition awards, and a culture that promotes best practices and continuous development.

Q: What career opportunities and growth can one expect at Bentley Systems? A: Bentley Systems provides an exciting career path as part of a world-leading software company focusing on infrastructure engineering solutions. Employees have the opportunity to work on innovative projects, gain versatile skills, and significantly impact the company's success. The role also comes with substantial growth opportunities within a global team.

Q: How can I prepare for an interview at Bentley Systems for the Data Scientist role? A: To prepare, research Bentley Systems and understand their industry-leading software solutions. Brush up on your skills in Python, SQL/HQL, and PySpark, and familiarize yourself with Databricks and MLFlow if possible. Practicing common data science problems and interview questions on platforms like Interview Query can also help you get ready for technical and behavioral interview rounds.

If you want more insights about the company, check out our main Bentley Systems Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as software engineer and data analyst, where you can learn more about Bentley Systems’ 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 Bentley Systems data scientist 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!