Dice is a leading technology job board that connects tech talent with top employment opportunities globally. Renowned for its specialized focus on the tech industry, Dice boasts a diverse portfolio of open positions in major companies, fostering innovation and growth in the tech sector.

As a Research Scientist at Dice, you'll be at the forefront of technological advancement, tackling challenges from data analytics to machine learning and artificial intelligence. The role demands proficiency in data sciences, analytical problem-solving, and a strong foundation in computer science principles.

If you’re aiming to join Dice as a Research Scientist, this guide is tailored for you. At Interview Query, we provide insights into the interview process, commonly asked questions, and strategic tips to help you ace your interview and secure the position. Dive in and start your journey with Dice!

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Dice as a Research Scientist. Whether you were contacted by a Dice 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 Dice 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 Dice Research 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 Dice Research 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 Dice’s data systems, research methodologies, and advanced statistical analyses.

In the case of Research Scientist roles, take-home assignments regarding data exploration, model building, and validation may be included. Apart from these, your proficiency with various data science tools and exemplary problem-solving methodologies 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 Dice office. Your technical prowess, including programming and advanced research 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 Research Scientist role at Dice.

Quick Tips For Dice Research Scientist Interviews

• Prepare to showcase your experience through comprehensive explanations of past research projects.
• Brush up on your statistics knowledge, as many interview questions will focus on advanced statistical methodologies.
• Practice your presentation skills; you may need to present your previous research or a take-home project.

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

• How would you measure the effectiveness of extra pay for delivery drivers during peak hours? You work at a food delivery company. How would you measure the effectiveness of giving extra pay to delivery drivers during peak hours to meet consumer demand?

• Create a function rain_days to calculate the probability of rain on the nth day after today. The probability that it will rain tomorrow depends on whether it rained today and yesterday. If it rained both days, there's a 20% chance it will rain tomorrow. If it rained one of the days, there's a 60% chance. If it rained neither day, there's a 20% chance. Given it rained today and yesterday, calculate the probability it will rain on the nth day after today.

• What are the assumptions of linear regression? List and explain the key assumptions that must be met for linear regression analysis to be valid.

If you're seeking more insights into Dice, don't miss our in-depth Dice Interview Guide, where we've comprehensively covered various interview questions specific to the company. Additionally, we've crafted guides for other crucial roles, such as software engineers and data analysts, enabling you to understand Dice’s unique interview process across different positions.

At Interview Query, our mission is to empower you with the tools, confidence, and insights necessary to excel in your Research Scientist interview at Dice. Dive into our extensive resources, and prepare yourself to tackle every interview question with poise and precision.

We invite you to explore all our company interview guides for even more preparation. Should you have any questions or require further assistance, don't hesitate to contact us.

Good luck with your interview!