Prepare for and practice interview questions from Office Depot.

Office Depot Interview Questions

Office Depot Interview Guides

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Let’s say we have a table with an <code>id</code> and <code>name</code> fields. The table holds over 100 million rows and we want to sample a random row in the table without throttling the database.

Write a query to randomly sample a row from this table.

Input:

<code>big_table</code> table

<table>
<thead>
<tr>
<th>Columns</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>

Write a query to randomly sample a row from a big table.

Random SQL Sample

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Office Depot Salaries by Position

Job Description Overview: Looking for machine learning expert who can help us design and develop machine learning and deep learning systems. Run machine learning tests and experiments and Implement appropriate ML algorithms.. Ability to leverage latest Machine Learning and Artificial Intelligence data mining and data modeling techniques to answer business questions to support business strategies. Strong analytical mindset with excellent mathematical and statistical background and adept in programing in established and open source languages. Strong understanding of data engineering and cloud based systems architecture required to run and deploy complex machine learning models. Techno-functional professional with strong analytical and communication skills. Ability to define requirements, evaluate risks, and manage execution of project initiatives. Natural communicator and team player with strong motivational skills and ability to work as a strong individual contributor. Primary Responsibilities: 1. Build machine learning models in open source packages like Python and deploy using cloud infrastructure available in Amazon Web Services and Azure ML Studio. <ul> <li>Develop statistical and machine learning models to improve marketing effectiveness - e.g., campaign response models, causal inference models, uplift models, etc.</li> <li>Build and test analytical models using data science techniques and deploy them in production.</li></ul> 2. Understand the business requirement and suggest/ evaluate the right features and technique best suited to train and test the model. Work on feature engineering to ensure most information going into the model for prediction accuracy. <ul> <li>Define and finalize features based on campaign performance and perform feature engineering to ensure most information goes into the model.</li> <li>Conduct continuous model monitoring to track performance and follow AI/ML best practices.</li> <li>Perform trend and response analysis to answer practical business problems and provide recommendations to improve campaign performance metrics.</li></ul> 3. Work with cloud architecture and digital development team to deploy the model online and offline <ul> <li>Work with cross functional teams at all levels to identify data sources, perform data engineering and conduct analyses.</li></ul> 4. Work with testing team to design the test online or offline and work towards improving the model based on test results <ul> <li>Analyze data by writing advanced SQL queries and derive insights to answer complex business questions.</li> <li>Collaborate with internal stakeholders to understand the business strategy and work towards supporting that by gathering the right data and building machine learning models. </li> <li>Explain analytical model behavior/results in business language.</li> <li>Develop strong understanding of processes and marketing campaign operations to support the team</li></ul> 5. Follow machine learning model management and lifecycle best practice for all Artificial Intelligence and Machine Learning models created Education & Experience <ul> <li>Level of Formal Education: Masters degree or equivalent experience</li> <li>Area of Study: statistical analysis, computational sciences, mathematics, physics or econometrics</li> <li>Years of Experience: 3-5 Years of experience</li> <li>Type of Experience: experience in data modeling, data engineering, feature engineering, model lifecycle management and experience with cloud infrastructure</li> <li>Special Certifications: <ul> <li>(CPA, Etc.) </li> <li>Mathematics</li> <li>Business Intelligence</li> <li>AWS</li> <li>Open source frame works and Statistical Modeling</li> </ul></li> <li>Language Skills: English</li> <li>Technical Competencies: SQL, R, Python, Deep Learning, NoSQL technologies, Hadoop, Anaconda, Tableau, Excel, Analysis, Database Concepts, Kubernetes Infrastructure including Kube Flow, using Docker for containerization. </li> <li>Strong Knowledge of supervised and unsupervised deep learning algorithms like CNN, RNN, GRU and experience in advanced deep learning packages like TensorFlow, Keras, Pytorch, Caffe, Theano etc. Experience in data visualization packages in Python or other languages required</li> <li>Skills and Abilities: <ul> <li>Selecting analytics tools to manage model lifecycle across groups and be experienced in open source tools like Python, R, Tensorflow, keras (Deep learning libraries) etc.</li> <li>Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy</li> <li>Practical experience with Business analysis, Data extraction in SQL and data analytics</li> <li>Experience in writing SQL against complete data warehouse systems with multiple takes. Teradata experience is a plus.</li> <li>Experience implementing a Recommendation Engine (knowledgeable on collaborative filtering and content-based filtering) and working on Web Analytics.</li> <li>Experience in applying Deep Learning to time series analysis (including ARIMA, ARMA and survival analysis)</li> <li>Strong understanding of experimental and test-and-learn design concepts and application.</li> <li>Experience with analyzing big data sets using Hadoop, Spark and open source technologies </li> <li>Experience working with third party data providers like DNB, Acxiom, Info group to utilize firmographic, psychographic and demographic data</li> <li>Experience in Retail Industry is a plus.</li> <li>Extensive background in statistical analysis, computational sciences, mathematics, physics, or econometrics.</li> </ul></li> <li>Information Systems: <ul> <li>People Soft, R, Python, Anaconda, SQL, NoSQL, Hadoop, Spark, Databricks, H2O, Tableau, Excel, Analysis.</li> </ul></li></ul> About The ODP Corporation The ODP Corporation (NASDAQ:ODP) is a leading provider of products and services through an integrated business-to-business (B2B) distribution platform and omnichannel presence, which includes world-class supply chain and distribution operations, dedicated sales professionals, a B2B digital procurement solution, online presence, and a network of Office Depot and OfficeMax retail stores. Through its operating companies Office Depot, LLC; ODP Business Solutions, LLC; Veyer, LLC; and Varis, LLC, The ODP Corporation empowers every business, professional, and consumer to achieve more every day. Disclaimer The above statements are intended to describe the general nature and level of work being performed by associates assigned to this classification and are not intended to be a complete list of all responsibilities, duties and skills required of associates so classified. Other duties may be assigned. Pay, Benefits & Work Schedule The company offers competitive salaries, a benefits package, which includes a 401(k) and more, along with plenty of opportunity to move and grow within our organization! For immediate consideration for this exciting position, please click the Apply Now button. How to Apply Click the Apply Now button and follow the instructions on each page. When you have completed the application, click the submit button. Application Deadline The job posting will remain open for a minimum of 3 days and will expire once the position has been filled. Equal Employment Opportunity The company is committed to providing equal employment opportunities in all employment practices. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, citizenship status, marital status, age, disability, protected veteran status, sexual orientation or any other characteristic protected by law. We will consider for employment qualified applicants with arrest and conviction records City & County of San Francisco Fair Chance Ordinance.

Job Description Please note to be considered for this opportunity you MUST have B2B product management experience in the Consumer Packaged Goods (CPG) industry or with an organization that produces physical product. The Senior Product Manager is a crucial role in driving the development and execution of the product strategy at The ODP Corporation. The ideal candidate will possess a passion for innovation, strong analytical skills, and a successful track record in managing products within the B2B CPG market. Responsibilities include leading a team of product managers, fostering a culture of continuous learning, and professional development. The Senior Product Manager will lead the strategic execution and delivery of category strategies to drive sales, penetration, and margin growth. They will also be responsible for developing and executing product strategies, managing the end-to-end product lifecycle, leveraging market insights and data, collaborating with sales and marketing teams, tracking key performance metrics, building partnerships, representing the voice of the customer, and providing expertise on customer-centered platforms like sustainability and safety. Through their leadership, the Senior Product Manager will ensure alignment between business objectives, market demands, and product success, solidifying their pivotal role within the organization. Primary Responsibilities: <ul> <li>Lead a team of product managers fostering a culture of continuous learning and professional development.</li> <li>Lead strategic execution and delivery on the category strategies to increase sales, penetration and margin growth. While also leading the development and execution of product strategies for each category that drive growth, profitability, and market leadership and align with business strategies.</li> <li>Lead the end-to-end product lifecycle management from concept to launch, including product planning, development, launch, and post-launch evaluation.</li> <li>Leverage market insights and data, evaluate tradeoffs, analyze outcomes (upside, expected and downside) to inform decision making on new opportunities and growth strategies.</li> <li>Drives project plans with supporting financials, manages a challenge process and drives execution of projects.</li> <li>Track and analyze key performance metrics to measure product success, identify areas for improvement, and make data-driven decisions.</li> <li>Provides point of view development on customer centered platforms like sustainability, safety, hygiene and productivity.</li> <li>Collaborate with sales and marketing teams to drive product adoption and sales growth through effective marketing collateral, sales training, and customer support materials.</li> <li>Build successful partnerships with vendor partners, key internal customers and cross functional teams.</li> <li>Represents the "voice of the customer" in internal decision making. </li></ul>Education and Experience: <ul> <li>Bachelor's degree in Business, Marketing, Engineering, or a related field or equivalent experience</li> <li>Years of Experience: Minimum 5-7 years of experience in related field</li> <li>Type of Experience: Product Management of physical/durable goods, Product Marketing, Product Sales, and/or Business Development in the B2B industry with a proven track record of successfully launching and managing products from concept to commercialization.</li> <li>Technical Competencies & Information Systems: Basic computer skills and the ability to use computers and technology for information, and to access information necessary to complete the job.</li> <li>Skills & Abilities: <ul> <li>Strong business acumen with the ability to translate market insights and customer needs into actionable product strategies and plans.</li> <li>Exceptional analytical skills with a data-driven approach to decision-making and problem-solving. strategic thinker with the ability to identify opportunities and develop actionable plans.</li> <li>Detail oriented with strong organizational skills.</li> <li>Excellent communication and collaboration skills with the ability to effectively engage and influence cross-functional teams and stakeholders.</li> <li>Ability to navigate ambiguity and thrive in a fast-paced matrixed organization.</li> <li>Demonstrated leadership capabilities with the ability to lead and inspire teams to achieve common goals.</li> <li>Passion for innovation and continuous improvement, with a strong commitment to delivering value to customers and driving business growth.</li> <li>Strong written and verbal communication skills</li> </ul></li> <li>Preferred Skills and Experience: <ul> <li>MBA or Advanced degree</li> <li>Knowledge of building science, commercial construction practices, codes, and standards</li> <li>Knowledge of category management (branding, supply chain, manufacturing, pricing, marketing and sales)</li> <li>Experience working in a matrixed organization</li> </ul> </li></ul> *Remote: While this position does not currently require relocation, candidates within a radius of our physical locations, including, but not be limited to Boca Raton, Itasca, and Austin, will be required to work in the office a minimum of two days a week beginning in September 2024. About The ODP Corporation: The ODP Corporation (NASDAQ:ODP) is a leading provider of products and services through an integrated business-to-business (B2B) distribution platform and omnichannel presence, which includes world-class supply chain and distribution operations, dedicated sales professionals, a B2B digital procurement solution, online presence, and a network of Office Depot and OfficeMax retail stores. Through its operating companies Office Depot, LLC; ODP Business Solutions, LLC; Veyer, LLC; and Varis, LLC, The ODP Corporation empowers every business, professional, and consumer to achieve more every day. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by associates assigned to this classification and are not intended to be a complete list of all responsibilities, duties and skills required of associates so classified. Other duties may be assigned. Pay, Benefits & Work Schedule: The company offers competitive salaries, a benefits package, which includes a 401(k) and more, along with plenty of opportunity to move and grow within our organization! For immediate consideration for this exciting position, please click the Apply Now button. How to Apply: Click the Apply Now button and follow the instructions on each page. When you have completed the application, click the submit button. Application Deadline: The job posting will remain open for a minimum of 3 days and will expire once the position has been filled. Equal Employment Opportunity: The company is committed to providing equal employment opportunities in all employment practices. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, citizenship status, marital status, age, disability, protected veteran status, sexual orientation or any other characteristic protected by law. We will consider for employment qualified applicants with arrest and conviction records City & County of San Francisco Fair Chance Ordinance.

Office Depot Interview Questions

Office Depot Interview Guides

Office Depot Interview Questions

Office Depot Salaries by Position

Office Depot Opening Jobs