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Office Depot Interview Questions

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Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

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?

Office Depot Salaries by Position

Job Description The Senior Pricing Analyst will compile and review internal and external data and leverage optimization tools to make informed pricing recommendations. This individual will work closely with the Category Merchants and the Director of Strategic Pricing to confirm pricing strategies and determine optimal prices in order to achieve strategic objectives. Primary Responsibilities: <ul> <li>Partner with Category Managers to ensure pricing strategy supports evolving business objectives. Implement price changes as necessary to maintain category pricing strategies. Advise merchant partners on pricing options; assess merchant pricing suggestions, communicate impacts and propose alternatives.</li> <li>Track key business metrics (e.g. sales, share, value perception, margin, customer attributes, etc.) to continually evaluate pricing effectiveness and refine pricing strategies as needed.</li> <li>Continually evaluate competitors and marketplace dynamics through the collection and management of competitive pricing data to apply competitive pricing rules and preserve positive customer price perception.</li> <li>Take initiative in identifying and resolving issues around pricing and margin. Test pricing hypotheses, measure results, and develop strategy insights and implications.</li> <li>Develop a deep understanding of category financial levers including sales, markdowns, funding, and profitability as input to the overall pricing strategy.</li> <li>Perform marketplace research to review and maintain appropriate pricing clusters for execution of localized pricing. Perform margin and pricing analysis to support key business initiatives as required. </li></ul>Education and Experience: <ul> <li>Bachelors degree in Business, Management Science, Mathematics, Finance, or Economics or equivalent experience</li> <li>Minimum 3 years experience in business or financial analytical experience, retail and pricing strategy experience preferred</li> <li>Strong Data Management Skills</li> <li>Strong Excel skills required, Power BI and VBA familiarity a plus</li> <li>Information Systems: MS Office Applications</li> <li>Project leadership skills, with the ability to prioritize and deliver on multiple concurrent initiatives that have significant financial impact</li> <li>Outstanding analytical skills and the ability to understand and develop strategy</li> <li>Ability to synthesize facts and insights into concrete, actionable recommendations</li> <li>Good communicator, both verbal and written, with the ability to influence at all levels of the organization </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, online presence, and a network of Office Depot and OfficeMax retail stores. Through its operating companies Office Depot, LLC; ODP Business Solutions, LLC; and Veyer, 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.

Include developing and executing product strategies for assigned categories, leveraging market research and competitive analysis to inform the product roadmap, driving project plans and execution, defining product features based on market insights an Product Manager, Manager, Product Sales, Product Management, Skills, Business, Retail, Business Services

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 ma Product Manager, Manager, Product Sales, Product Management, Leadership, Business, Retail, Business Services

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. Develop statistical and machine learning models to improve marketing effectiveness - e.g., campaign response models, causal inference models, uplift models, etc. Build and test analytical models using data science techniques and deploy them in production. 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. Define and finalize features based on campaign performance and perform feature engineering to ensure most information goes into the model. Conduct continuous model monitoring to track performance and follow AI/ML best practices. Perform trend and response analysis to answer practical business problems and provide recommendations to improve campaign performance metrics. 3. Work with cloud architecture and digital development team to deploy the model online and offline Work with cross functional teams at all levels to identify data sources, perform data engineering and conduct analyses. 4. Work with testing team to design the test online or offline and work towards improving the model based on test results Analyze data by writing advanced SQL queries and derive insights to answer complex business questions. Collaborate with internal stakeholders to understand the business strategy and work towards supporting that by gathering the right data and building machine learning models. Explain analytical model behavior/results in business language. Develop strong understanding of processes and marketing campaign operations to support the team 5. Follow machine learning model management and lifecycle best practice for all Artificial Intelligence and Machine Learning models created Education & Experience Level of Formal Education: Masters degree or equivalent experience Area of Study: statistical analysis, computational sciences, mathematics, physics or econometrics Years of Experience: 3-5 Years of experience Type of Experience: experience in data modeling, data engineering, feature engineering, model lifecycle management and experience with cloud infrastructure Special Certifications: (CPA, Etc.) Mathematics Business Intelligence AWS Open source frame works and Statistical Modeling Language Skills: English 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. 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 Skills and Abilities: 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. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Practical experience with Business analysis, Data extraction in SQL and data analytics Experience in writing SQL against complete data warehouse systems with multiple takes. Teradata experience is a plus. Experience implementing a Recommendation Engine (knowledgeable on collaborative filtering and content-based filtering) and working on Web Analytics. Experience in applying Deep Learning to time series analysis (including ARIMA, ARMA and survival analysis) Strong understanding of experimental and test-and-learn design concepts and application. Experience with analyzing big data sets using Hadoop, Spark and open source technologies Experience working with third party data providers like DNB, Acxiom, Info group to utilize firmographic, psychographic and demographic data Experience in Retail Industry is a plus. Extensive background in statistical analysis, computational sciences, mathematics, physics, or econometrics. Information Systems: People Soft, R, Python, Anaconda, SQL, NoSQL, Hadoop, Spark, Databricks, H2O, Tableau, Excel, Analysis. 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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 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 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.
Develop statistical and machine learning models to improve marketing effectiveness - e.g., campaign response models, causal inference models, uplift models, etc.
Build and test analytical models using data science techniques and deploy them in production.
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. Define and finalize features based on campaign performance and perform feature engineering to ensure most information goes into the model.
Conduct continuous model monitoring to track performance and follow AI/ML best practices.
Perform trend and response analysis to answer practical business problems and provide recommendations to improve campaign performance metrics.
3. Work with cloud architecture and digital development team to deploy the model online and offline Work with cross functional teams at all levels to identify data sources, perform data engineering and conduct analyses.
4. Work with testing team to design the test online or offline and work towards improving the model based on test results Analyze data by writing advanced SQL queries and derive insights to answer complex business questions.
Collaborate with internal stakeholders to understand the business strategy and work towards supporting that by gathering the right data and building machine learning models.
Explain analytical model behavior/results in business language.
Develop strong understanding of processes and marketing campaign operations to support the team
5. Follow machine learning model management and lifecycle best practice for all Artificial Intelligence and Machine Learning models created Education & Experience Level of Formal Education: Masters degree or equivalent experience
Area of Study: statistical analysis, computational sciences, mathematics, physics or econometrics
Years of Experience: 3-5 Years of experience
Type of Experience: experience in data modeling, data engineering, feature engineering, model lifecycle management and experience with cloud infrastructure
Special Certifications: (CPA, Etc.)
Mathematics
Business Intelligence
AWS
Open source frame works and Statistical Modeling Language Skills: English
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.
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
Skills and Abilities: 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.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Practical experience with Business analysis, Data extraction in SQL and data analytics
Experience in writing SQL against complete data warehouse systems with multiple takes. Teradata experience is a plus.
Experience implementing a Recommendation Engine (knowledgeable on collaborative filtering and content-based filtering) and working on Web Analytics.
Experience in applying Deep Learning to time series analysis (including ARIMA, ARMA and survival analysis)
Strong understanding of experimental and test-and-learn design concepts and application.
Experience with analyzing big data sets using Hadoop, Spark and open source technologies
Experience working with third party data providers like DNB, Acxiom, Info group to utilize firmographic, psychographic and demographic data
Experience in Retail Industry is a plus.
Extensive background in statistical analysis, computational sciences, mathematics, physics, or econometrics. Information Systems: People Soft, R, Python, Anaconda, SQL, NoSQL, Hadoop, Spark, Databricks, H2O, Tableau, Excel, Analysis. *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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 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

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.
Develop statistical and machine learning models to improve marketing effectiveness - e.g., campaign response models, causal inference models, uplift models, etc.
Build and test analytical models using data science techniques and deploy them in production.
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.    Define and finalize features based on campaign performance and perform feature engineering to ensure most information goes into the model.
Conduct continuous model monitoring to track performance and follow AI/ML best practices.
Perform trend and response analysis to answer practical business problems and provide recommendations to improve campaign performance metrics.
3. Work with cloud architecture and digital development team to deploy the model online and offline    Work with cross functional teams at all levels to identify data sources, perform data engineering and conduct analyses.
4. Work with testing team to design the test online or offline and work towards improving the model based on test results    Analyze data by writing advanced SQL queries and derive insights to answer complex business questions.
Collaborate with internal stakeholders to understand the business strategy and work towards supporting that by gathering the right data and building machine learning models.
Explain analytical model behavior/results in business language.
Develop strong understanding of processes and marketing campaign operations to support the team
5. Follow machine learning model management and lifecycle best practice for all Artificial Intelligence and Machine Learning models created

Education & Experience     Level of Formal Education: Masters degree or equivalent experience
Area of Study: statistical analysis, computational sciences, mathematics, physics or econometrics
Years of Experience: 3-5 Years of experience
Type of Experience: experience in data modeling, data engineering, feature engineering, model lifecycle management and experience with cloud infrastructure
Special Certifications:    (CPA, Etc.)
Mathematics
Business Intelligence
AWS
Open source frame works and Statistical Modeling

Language Skills: English
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.
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
Skills and Abilities:    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.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Practical experience with Business analysis, Data extraction in SQL and data analytics
Experience in writing SQL against complete data warehouse systems with multiple takes. Teradata experience is a plus.
Experience implementing a Recommendation Engine (knowledgeable on collaborative filtering and content-based filtering) and working on Web Analytics.
Experience in applying Deep Learning to time series analysis (including ARIMA, ARMA and survival analysis)
Strong understanding of experimental and test-and-learn design concepts and application.
Experience with analyzing big data sets using Hadoop, Spark and open source technologies
Experience working with third party data providers like DNB, Acxiom, Info group to utilize firmographic, psychographic and demographic data
Experience in Retail Industry is a plus.
Extensive background in statistical analysis, computational sciences, mathematics, physics, or econometrics.

Information Systems:    People Soft, R, Python, Anaconda, SQL, NoSQL, Hadoop, Spark, Databricks, H2O, Tableau, Excel, Analysis.

*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.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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.

Overview 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: Build machine learning models in open source packages like Python and deploy using cloud infrastructure available in Amazon Web Services and Azure ML Studio. Develop statistical and machine learning models to improve marketing effectiveness - e.g., campaign response models, causal inference models, uplift models, etc. Build and test analytical models using data science techniques and deploy them in production. 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. Define and finalize features based on campaign performance and perform feature engineering to ensure most information goes into the model. Conduct continuous model monitoring to track performance and follow AI/ML best practices. Perform trend and response analysis to answer practical business problems and provide recommendations to improve campaign performance metrics. Work with cloud architecture and digital development team to deploy the model online and offline Work with cross functional teams at all levels to identify data sources, perform data engineering and conduct analyses. Work with testing team to design the test online or offline and work towards improving the model based on test results Analyze data by writing advanced SQL queries and derive insights to answer complex business questions. Collaborate with internal stakeholders to understand the business strategy and work towards supporting that by gathering the right data and building machine learning models. Explain analytical model behavior/results in business language. Develop strong understanding of processes and marketing campaign operations to support the team Follow machine learning model management and lifecycle best practice for all Artificial Intelligence and Machine Learning models created Education & Experience Level of Formal Education: Masters degree or equivalent experience Area of Study: statistical analysis, computational sciences, mathematics, physics or econometrics Years of Experience: 3-5 Years of experience Type of Experience: experience in data modeling, data engineering, feature engineering, model lifecycle management and experience with cloud infrastructure Special Certifications: (CPA, Etc.) Mathematics Business Intelligence AWS Open source frame works and Statistical Modeling Language Skills: English 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. 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 Skills and Abilities: 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. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Practical experience with Business analysis, Data extraction in SQL and data analytics Experience in writing SQL against complete data warehouse systems with multiple takes. Teradata experience is a plus. Experience implementing a Recommendation Engine (knowledgeable on collaborative filtering and content-based filtering) and working on Web Analytics. Experience in applying Deep Learning to time series analysis (including ARIMA, ARMA and survival analysis) Strong understanding of experimental and test-and-learn design concepts and application. Experience with analyzing big data sets using Hadoop, Spark and open source technologies Experience working with third party data providers like DNB, Acxiom, Info group to utilize firmographic, psychographic and demographic data Experience in Retail Industry is a plus. Extensive background in statistical analysis, computational sciences, mathematics, physics, or econometrics. Information Systems: People Soft, R, Python, Anaconda, SQL, NoSQL, Hadoop, Spark, Databricks, H2O, Tableau, Excel, Analysis. 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. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 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. REQNUMBER: 86232

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