Demandbase is the Smarter GTM™ company for B2B brands, dedicated to helping marketing and sales teams surmount data and technology fragmentation. By injecting Account Intelligence into every step of the buyer journey and orchestrating actions across systems and channels, Demandbase enables clients to identify opportunities earlier, engage more effectively, and close deals faster. We invest significantly in our people, culture, and community, fostering a diverse workforce and remote work flexibility from locations in the San Francisco Bay Area, Seattle, the UK, and India.

Are you a seasoned Data Scientist with a focus on AdTech? Join Demandbase as a Staff Data Scientist to drive innovation and optimize advertising strategies. This role involves developing machine learning models, collaborating with product and engineering teams, and refining intent signals for targeted advertising. Apply now to advance your career with a company committed to diversity, equity, and inclusion. Learn how to navigate the interview process on Interview Query and be part of an innovative and inclusive team.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Demandbase as a Data Scientist. Whether you were contacted by a Demandbase 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 Demandbase 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 Demandbase 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 Demandbase data scientist role is usually conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Demandbase’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 Demandbase 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 Demandbase.

Quick Tips For Demandbase Data Scientist Interviews

• Should contain three tips for interviewing for this specific company based on interview experiences.

Example:

You should plan to brush up on any technical skills and try as many practice interview questions and mock interviews as possible. A few tips for acing your Demandbase interview include:

• Understand AdTech: Demandbase’s data science role focuses heavily on AdTech. Brush up on key AdTech concepts and how they apply to machine learning and data science.
• Showcase Innovation and Problem-solving: Demandbase values innovative solutions and problem-solving acumen. Be prepared to discuss past projects where you demonstrated these skills.
• Cultural Fit and Communication: Demandbase places a high value on effective communication and cultural fit. Be ready to articulate complex data science methods to both technical and non-technical audiences during the interview.

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

• Write a function digit_accumulator to return the sum of every digit in a floating-point number string. You are given a string that represents some floating-point number. Write a function, digit_accumulator, that returns the sum of every digit in the string.

Example:

Input: python s = "123.0045" Output: ```python def digit_accumulator(s) -> 15

Since 1 + 2 + 3 + 0 + 0 + 4 + 5 = 15 ```

• How would you set up an A/B test for multiple changes in a sign-up funnel? A team wants to A/B test various changes in a sign-up funnel. For instance, on a page, a button is red and at the top. They want to see if changing the button’s color to blue and/or moving it to the bottom will increase click-through rates. How would you set up this test?

• How would you verify that a user is actually a high school student attending the school represented by their sticker? Instagram is releasing a new feature for high schoolers that allows users to identify their school and receive an associated sticker for their profile. How would you verify that a user is genuinely a high school student attending the school represented by their sticker?

• What is the probability that a red marble was pulled from Bucket #1? You have two buckets with different distributions of red and black marbles. Your friend pulls a red marble from one of the buckets. Calculate the probability that it was pulled from Bucket #1.

• What is the probability that two red marbles were pulled from Bucket #1? Your friend puts the red marble back and then draws two marbles sequentially, both of which are red. Calculate the probability that both red marbles were pulled from Bucket #1.

• What are time series models and why are they needed over simpler regression models? Explain what time series models are and discuss why they are necessary when simpler regression models are available.

• How would you determine if the difference between this month and the previous month is significant? You have a time series dataset grouped monthly for the past five years. Describe how you would find out if the difference between this month and the previous month is statistically significant.

• How would you analyze noisy and volatile asset price data to ensure accuracy? You are analyzing the price of a particular asset over time at a global trading company. The dataset is noisy and volatile, and the data may not be completely accurate. Explain how you would analyze this data to ensure there are no discrepancies.

• How would you analyze noisy and volatile asset price data to ensure accuracy? You are working at a global trading company analyzing the price of a particular asset over time. The dataset is noisy, volatile, and not guaranteed to be completely accurate. How would you analyze this data to ensure there aren't any discrepancies?

What is the average salary for a Data Scientist at Demandbase?

Q: What is Demandbase?

Demandbase is the Smarter GTM™ company for B2B brands. We help marketing and sales teams overcome disruptive data and technology fragmentation, injecting Account Intelligence into every step of the buyer journey and orchestrating actions across systems and channels. The result? You spot opportunities earlier, engage more intelligently, and close deals faster.

Q: What does Demandbase offer in terms of company culture and career growth?

At Demandbase, we're committed to growing careers and building world-class technology. We invest heavily in people, culture, and community, with diverse teams based in the San Francisco Bay Area, Seattle, the UK, and India. We allow employees to work remotely and have been continuously recognized as one of the best places to work in the Bay Area.

Q: What are the main responsibilities for a Staff Data Scientist at Demandbase?

As a Staff Data Scientist specializing in AdTech, you'll collaborate with product and engineering teams to optimize advertising campaigns, develop algorithms for account ranking, and create a browsable taxonomy of intent signals. You'll drive the development of advanced machine learning algorithms, deploy custom ML/AI models, and lead innovation initiatives in AdTech.

Q: What skills and experiences are required for a Data Scientist role at Demandbase?

We look for a minimum of 5 years of robust data science experience in AdTech, a related educational background, and a strong track record in leading projects from concept to production. Proficiency in Python, analytical tools like Jupyter notebooks, and experience with AI/ML technologies like TensorFlow and scikit-learn are essential.

Q: How can I prepare for a Data Scientist interview at Demandbase?

To prepare for an interview, research Demandbase thoroughly, understand its role in B2B marketing, and practice technical skills. Utilize platforms like Interview Query to review common interview questions and problem-solving techniques. Be ready to discuss your past projects, technical skills, and scenarios where you've demonstrated innovation and leadership.

If you are ready to make a significant impact in the world of data-driven advertising, Demandbase offers a unique opportunity for seasoned Data Scientists specializing in AdTech. Dive into advanced algorithm development, collaborate with top-tier product and engineering teams, and lead innovative projects that transform the B2B landscape. For more insights about the company, check out our main Demandbase 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 Demandbase’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 Demandbase Data Scientist interview. 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!