The Criteo Business Intelligence interview guide, interview questions, salary data, and interview experiences.

Criteo Business Intelligence Interview Guide

Getting ready for an Business Intelligence interview at Criteo? The Criteo Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Criteo Business Intelligence roles.</li>
<li>Gain insights into the Business Intelligence interview process at Criteo.</li>
<li>Practice real Criteo Business Intelligence interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Criteo Business Intelligence interview.


Getting ready for an Business Intelligence interview at Criteo? The Criteo Business Intelligence interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Criteo Business Intelligence roles.
- Gain insights into the Business Intelligence interview process at Criteo.
- Practice real Criteo Business Intelligence interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Criteo Business Intelligence interview.
        

Overview

Criteo Business Intelligence Salary

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Python

Machine Learning

Product Metrics

A/B Testing

Analytics

Statistics

Probability

Algorithms

Criteo Business Intelligence Interview Process

We’re given a table of bank transactions with three columns, <code>user_id</code>, a deposit or withdrawal value (determined if the value is positive or negative), and <code>created_at</code> time for each transaction.

Write a query to get the total three-day rolling average for deposits by day.

Note: Please use the format <code>&#39;%Y-%m-%d&#39;</code> for the date in the outout

Example:

Input:

<code>bank_transactions</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>transaction_value</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>dt</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>rolling_three_day</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>

Rolling Bank Transactions

Write a query to identify customers who placed more than three transactions each in both 2019 and 2020.

Example:

Input:

<code>transactions</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>product_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>quantity</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>users</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
 
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>customer_name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>

Which of the following queries will return a list of customers and the total amount they have spent on orders?

Which of the following queries will return a list of customers and the total amount they have spent on orders?

Customer Orders

What are the logistic and softmax functions? What is the difference between the two?

What makes them useful for use in logistic regression?

In logistic regression, how is the predicted class determined based on the logistic function?

In logistic regression, how is the predicted class determined based on the logistic function?

Softmax vs Logistic II

What is the key characteristic of the logistic function that makes it useful for mapping continuous values to a probability?

What is the key characteristic of the logistic function that makes it useful for mapping continuous values to a probability?

Softmax vs Logistic I

What are the logistic and softmax functions? What is the difference between the two?

Softmax vs Logistic

Criteo Business Intelligence Interview Questions

Sr. Data Analyst, Brand Solutions New York, NY About CRITEO Criteo (CRTO), the leader in commerce marketing, is building the highest performing and open commerce marketing ecosystem to drive profits and sales for retailers and brands. 2,700 Criteo team members partner with 16,000 customers and thousands of publishers across the globe to deliver performance at scale by connecting shoppers to the things they need and love. Designed for commerce, Criteo Commerce Marketing Ecosystem sees over USD 550 billion in annual commerce sales data. For more information, please visit www.criteo.com.. Why work for us? We are innovative, passionate, fearless, creative, driven, and adaptable. Our core values are at the heart of who we are. We have a spontaneous and vibrant culture, and we truly believe in team spirit and collaboration. <ul> <li>100% premium coverage of Healthcare Plan. When apples arent enough </li><li>Competitive compensation. Be fancy </li><li>Career advancement with global mobility opportunities. A little bit of Je ne sais quoi </li><li>Vacation policy. Because your mom misses you </li><li>Happy hour, snacks, arcade/game rooms. Eat. Drink. Be merry </li><li>Travel & reimbursement options. Until jetpacks are a thing </li><li>401(k) fully vested matching. Basically free $ </li></ul> Check out a day in the life at Criteo! Role Overview A Sr. Data Analyst on the Analytics (AX) team is a key player in understanding every aspect of Criteos complex business. This role interfaces across the organization to answer challenging analytical questions related to the performance of Criteo Sponsored Products. The scope involves both technically rigorous work, including the use of leading-edge data analysis technologies, and daily interaction with other cross-functional business units as well as external clients. What will you be doing? As a member of Analytics, you will be joining a team that is growing and in spotlight with focus to turn rich data into actionable insights. We are looking for experienced individual who enjoys collaborating with various Executives, Account Management, Sales or Marketing and help them make data driven decisions. Whether you are delivering clear and actionable insights to advertisers or retailers, analyzing customer behavior and trends, setting up testing or data mining you will be working with sharp individuals leveraging cutting edge technology and mining multi-terabyte datasets. You have proven track record of strength in quantitative analysis, committed to rapidly advancing in your career and strong interest in learning and shaping the e-commerce retail. What do we NEED? <ul> <li>[MUST HAVE] 2+ years professional experience generating insights from large datasets </li><li>[MUST HAVE] Strong problem solving and critical thinking skills with exceptional attention to detail </li><li>[MUST HAVE] Strong business communication skills </li><li>[MUST BE] Listener, collaborator and team player </li><li>[MUST HAVE] Proficient writing SQL or SAS or Python or R or any data mining software. </li><li>[PREFERRED] Familiarity to Ad Technology or Display Technology or web technology or Online retail </li><li>[PREFERRED] Understanding of digital marketing concepts (CPC, CTR, ROAS, etc.) </li><li>Strong understanding of statistics </li><li>Strong educational background: Bachelor/Master degree in Mathematics, Engineering, Statistics or Science </li></ul> Criteo, the global leader in scalable personalized retargeting solutions, is growing their U.S. Operation and looking for aggressive and motivated professionals with varying levels of experience to be an integral part of our continued success. For more information, please visit http://www.criteo.com. Find us on LinkedIn. *Criteo is an equal opportunity employer.

Data Analyst, Global Supply Analytics New York, NY About CRITEO Criteo (CRTO), the leader in commerce marketing, is building the highest performing and open commerce marketing ecosystem to drive profits and sales for retailers and brands. 2,700 Criteo team members partner with 16,000 customers and thousands of publishers across the globe to deliver performance at scale by connecting shoppers to the things they need and love. Designed for commerce, Criteo Commerce Marketing Ecosystem sees over USD 550 billion in annual commerce sales data. For more information, please visit www.criteo.com. Why work for us? We are innovative, passionate, fearless, creative, driven, and adaptable. Our core values are at the heart of who we are. We have a spontaneous and vibrant culture, and we truly believe in team spirit and collaboration. 100% premium coverage of Healthcare Plan. When apples arent enough Competitive compensation. Be fancy Career advancement with global mobility opportunities. A little bit of Je ne sais quoi Vacation policy. Because your mom misses you Happy hour, snacks, arcade/game rooms. Eat. Drink. Be merry Travel & reimbursement options. Until jetpacks are a thing 401(k) fully vested matching. Basically free $ Check out a day in the life at Criteo! Overview The Global Supply Analytics team at Criteo sits between the business and technology groups. Our business is built on a strongly quantitative culture, and our analysts are involved in setting the agenda and driving decisions across the organization. Youll be given access to one of the worlds biggest datasets, and the computing power to exploit it. Well ask you to produce recommendations that will boost our business performance, that can be clearly understood and quickly put into action by the rest of the organization. We are looking for a highly motivated Data Analyst to contribute to the development of our Global Supply Analytics team within the Americas, with a passion for the digital ecosystem. The ideal candidate will have an extensive experience in analyzing large data sets, with outstanding skills to identify and quantify opportunities for optimizations and issues as they arise. You must thrive in a start-up environment, be proactive, detail oriented and eager to learn and keep-up with an evolving product landscape. What will you be doing? The Global Supply Analytics team provides analysis and insights into both RTB platforms and Publishers which Criteo manages some regionally and some globally. This offers some exciting analytical challenges as those are among the most technically-driven counterparts of ours. Analyzing complex and large datasets from multiple sources, youll learn how to detect any issue with the performance of our products and solutions, and suggest improvements that will have immediate impact. Your key tasks will be to: Master our internal analytic datasets and reporting tools, oversee the definition and maintenance of reports or dashboards to monitor KPIs Mine performance data and turn them into understandable and actionable insights Define and execute a stream of analysis and tests to inform and support the strategic roadmap for your portfolio as well as identify business opportunities Maintain deep knowledge of Criteos products, technologies, position and strategy What do we NEED? 1-3 years experience in an analytical role in Technology, Consulting or Finance You hold a Bachelor degree or higher in a numerical subject You have a demonstrated interest in internet and technology; youll probably have used databases or have some programming experience You are passionate about analytics, statistics and predictive approaches You are versatile, self-driven, detail-oriented and hands-on You are outgoing with good communication skills You are fluent in English with additional fluency in either Spanish or Portuguese is a plus Criteo, the global leader in scalable personalized retargeting solutions, is growing their analytics presence in the Americas and looking for aggressive and motivated professionals with varying levels of experience to be an integral part of our continued success. Criteo is transforming digital advertising into a relevant user experience! For more information, please visit http://www.criteo.com. Find us on LinkedIn and learn more about us at Glassdoor! *Criteo is an equal opportunity employer. *LI-RL1

Staff Research Scientist, Palo Alto
Criteo Research is pioneering innovations in online publishing and advertising. As the center of scientific excellence in the company, Criteo Research in Paris and Palo Alto deliver both fundamental and applied scientific leadership through published research, product innovations and new technologies powering the company's products.
We are looking for outstanding machine learning research scientists whose skills span the entire spectrum of scientific research, i.e. data gathering/cleaning, modeling, implementation, publication and presentation.
A Sampling of Research Topics
· Click prediction : How do you accurately predict if the user will click on an ad in less than a millisecond? Thankfully, you have billions of data points to help you.
· Recommender systems : A standard SVD works well. But what happens when you have to choose the top products amongst hundreds of thousands for every user, 2 billion times per day, in less than 50ms?
· Auction theory : In a second-price auction, the theoretical optimal is to bid the expected value. But what happens when you run 15 billion auctions per day against the same competitors?
· Explore/exploit : It's easy, UCB and Thomson sampling have low regret. But what happens when new products come and go and when each ad displayed changes the reward of each arm?
· Game theory/Reinforcement learning : How to find the optimal bidding strategy across multiple auctions? Can this be cast as a reinforcement learning problem in very high dimensions with unpredictable rewards.
· Offline testing/Metrics : You can always compute the classification error on model predicting the probability of a click. But is this really related to the online performance of a new model? What is the right offline metric that predicts online performance?
· Optimization : Stochastic gradient descent is great when you have lots of data. But what do you do when all data are not equal and you must distribute the learning over several hundred nodes?
Challenges of this role
· Understand and shape the product direction by contributing innovative ideas, specifically as a result of data mining and experimental data modeling
· Influence the strategic vision for the research team and Criteo at large.
· Identify new research opportunities at Criteo and lead the exploration of these ideas and pursue patents/publications where appropriate.
· Interact with other teams to define interfaces and understand and resolve dependencies
· Maintain world-class academic credentials through publications, presentations, external collaborations and service to the research community.
· Develop high-performance algorithms, test and implement the algorithms in scalable and product-ready code.
· Mentor team members, oversee the creation of technical documents and work towards establishing Criteo as a center of excellence in computational advertising.
Strong candidates qualifications
· PhD in Machine Learning or a related field along with at least five years of experience.
· Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data.
· Strong implementation experience with languages, such as Python, Perl, Ruby, Java, C#, Scala etc.
· Familiarity with Linux/Unix/Shell environments.
· Knowledge of Hadoop programming environments (e.g. Pig, Hive).
· Excellent track record in conducting and reporting results of original and collaborative research with publications.
· Prior experience in optimization of online advertising is a plus.
Criteo R&D Culture
· Empowerment – We believe in hiring the best engineers in the industry and then letting them get on with what they do best – designing, coding and releasing state of the art software.
· Mobility – In our Voyager program our engineers get to pick which team they want to work on for 2-4 weeks, boosting collaboration, networking and maybe even leading to switching teams.
· Agility - We work in a fast pace environment where we build and release stuff frequently to deliver value soon and adapt to changes quickly.
· Variety – We have manywaysto get your code to production including our Hackathon, 10% projects, Voyager and more.
· Multicultural – We have engineers from all over the world for you to interact and exchange ideas with.
Our culture keeps evolving, and you will be expected to contribute actively with new ideas to complement and enhance the existing programs that include frictionless internal mobility, 10% time, mentoring, technical talks, hackathons, conferences, etc.
About Criteo
Criteo ( CRTO ), the leader in commerce marketing, is building the highest performing and open commerce marketing ecosystem to drive profits and sales for retailers and brands.2,700 Criteo team members partner with 16,000 customers and thousands of publishers across the globe to deliver performance at scale by connecting shoppers to the things they need and love. Designed for commerce, Criteo Commerce Marketing Ecosystem sees over50 billion in annual commerce sales data. For more information, please visit www.criteo.com .
Are you up to the challenge? #J-18808-Ljbffr

Criteo Business Intelligence Interview Guide

Overview

Criteo Business Intelligence Salary

Criteo Business Intelligence Interview Process

Criteo Business Intelligence Interview Questions

Criteo Business Intelligence Jobs