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Overview

In this role, you will be responsible for building relationship across Marketing and BU owners and providing Advanced Analytics and Predictive Modeling solutions.  Review and make recommendations for the improvement of our processes and technology. Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions.

 

Primary/Key Responsibilities:

  • Develop and build analytical models using Python, R, or AWS Sagemaker, collaborate with cross functional business owners to deliver the production grade analytical models
  • Work collaboratively with cross functional teams and internal stakeholders to identify relevant data sources, bring data sets together, and leverage data science approaches to drive efficiency and effectiveness across processes and technologies.
  • Apply statistical/ econometrics/ machine learning/ data mining approaches to analyze and provide insights and recommendations to the business partners on how to improve financial and non-financial metrics
  • Team with the business partners to learn about the business processes and metrics, and perform descriptive, diagnostic, and predictive analytics to provide recommendations
  • Present analytical findings to business partners through creation of PowerPoint and verbal presentations
  • Develop presentation decks to represent findings and provide actionable insights to business users
  • Work with cross functional teams to identify relevant data sources, preprocess data, create feature store, perform data engineering, and develop model, and monitor production grade data science solutions
  • Review and make recommendations for the improvement of our processes and technology. Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions

 

Education & Experience:

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Finance, MIS, Economics
  • 3-5 years experience working with and creating data architectures and a drive to learn and master new technologies and techniques. 
  • Experience using languages (Python, SLQ, Spark, R etc.) to manipulate data and draw insights from large data sets. 
  • Knowledge and experience in advanced Machine Learning/Deep Learning algorithms and statistics: GLM/Regression, Classification, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Retail experience
  • Worked in large databases
  • Technical Competencies:
    • Familiar with Excel, PowerPoint, Tableau, Snowflake, Google Analytics and Cognos
    • SQL
    • Python
    • AWS Sagemaker
    • Jenkins
    • Github
  • Skills and Ability:
    • Excellent written and verbal communication skills for coordinating across teams. 
    • Data Mining and Analysis
    • Experience working independently
    • Ability to discuss analytical needs with a business user
    • Critical thinking to solve the business need
    • Creative analytics visualization
    • Strong Analytical and Problem-Solving Skills
    • Collaborative across departments
    • Organized and can multi-task
    • Timely communication and meets deadlines
    • Strong understanding of ML/AI and cloud infrastructure
 
Pay, Benefits & Work Schedule
Office Depot and Office Max 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.
 
Equal Employment Opportunity
Office Depot and Office Max 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.
 

Read More Read Less

At Office Depot, we offer our benefits around the 5 facets of Total Well-Being: Physical, Emotional, Work-Life, Financial, and Community. Here’s a look into what we offer:

Physical:

  • Health Insurance
  • Wellness Fairs
  • Flu shots
  • Fitness & Nutrition Programs
  • Ergonomic Support
  • Return-to-Work Programs

Emotional:

  • Mental Health Benefits
  • Support Programs

Work-Life:

  • Location Events & Activities
  • Onboarding Plan & 'Buddy'
  • Recognition & Rewards Programs
  • Flexible Work Schedules
  • Paid Holidays
  • Paid Time Off

Financial:

  • Retirement Programs
  • 401(k) Match
  • FSA/HSA Pre-Tax Benefits
  • HSA Match
  • HRA Funding
  • Discounts/Perks
  • Life/Disability Plans

Community:

  • Charitable Giving
  • Volunteering & Mentorship

At Office Depot, we offer our benefits around the 5 facets of Total Well-Being: Physical, Emotional, Work-Life, Financial, and Community. Here’s a look into what we offer:

Emotional:

  • Employee Assistance Programs

Community:

  • Associate Resource Groups focused on Diversity and Inclusion

As the working world continues to evolve, so are we. Shifting from an office supplies retailer to a business services platform is not a simple task, nor is it one we take lightly. It requires the diverse talents and contributions from each and every associate – all driven by our 5C culture of Customer, Commitment, Change, Caring and Creativity. We’re working together to make a difference, challenge the status quo, and be the trusted experts that help our customers manage their businesses. We’ve got 40,000+ associates to date – and we’re always looking to add great talent to our team. The once-in-a-lifetime opportunity to help transform our company to fuel the businesses and communities around us is knocking. Start your #LifeAtDepot and discover how you can be a part of the transformation.

  • Description

    Overview

    In this role, you will be responsible for building relationship across Marketing and BU owners and providing Advanced Analytics and Predictive Modeling solutions.  Review and make recommendations for the improvement of our processes and technology. Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions.

     

    Primary/Key Responsibilities:

    • Develop and build analytical models using Python, R, or AWS Sagemaker, collaborate with cross functional business owners to deliver the production grade analytical models
    • Work collaboratively with cross functional teams and internal stakeholders to identify relevant data sources, bring data sets together, and leverage data science approaches to drive efficiency and effectiveness across processes and technologies.
    • Apply statistical/ econometrics/ machine learning/ data mining approaches to analyze and provide insights and recommendations to the business partners on how to improve financial and non-financial metrics
    • Team with the business partners to learn about the business processes and metrics, and perform descriptive, diagnostic, and predictive analytics to provide recommendations
    • Present analytical findings to business partners through creation of PowerPoint and verbal presentations
    • Develop presentation decks to represent findings and provide actionable insights to business users
    • Work with cross functional teams to identify relevant data sources, preprocess data, create feature store, perform data engineering, and develop model, and monitor production grade data science solutions
    • Review and make recommendations for the improvement of our processes and technology. Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions

     

    Education & Experience:

    • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Finance, MIS, Economics
    • 3-5 years experience working with and creating data architectures and a drive to learn and master new technologies and techniques. 
    • Experience using languages (Python, SLQ, Spark, R etc.) to manipulate data and draw insights from large data sets. 
    • Knowledge and experience in advanced Machine Learning/Deep Learning algorithms and statistics: GLM/Regression, Classification, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
    • Retail experience
    • Worked in large databases
    • Technical Competencies:
      • Familiar with Excel, PowerPoint, Tableau, Snowflake, Google Analytics and Cognos
      • SQL
      • Python
      • AWS Sagemaker
      • Jenkins
      • Github
    • Skills and Ability:
      • Excellent written and verbal communication skills for coordinating across teams. 
      • Data Mining and Analysis
      • Experience working independently
      • Ability to discuss analytical needs with a business user
      • Critical thinking to solve the business need
      • Creative analytics visualization
      • Strong Analytical and Problem-Solving Skills
      • Collaborative across departments
      • Organized and can multi-task
      • Timely communication and meets deadlines
      • Strong understanding of ML/AI and cloud infrastructure
     
    Pay, Benefits & Work Schedule
    Office Depot and Office Max 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.
     
    Equal Employment Opportunity
    Office Depot and Office Max 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.
     

    Read More Read Less

  • Benefits

    At Office Depot, we offer our benefits around the 5 facets of Total Well-Being: Physical, Emotional, Work-Life, Financial, and Community. Here’s a look into what we offer:

    Physical:

    • Health Insurance
    • Wellness Fairs
    • Flu shots
    • Fitness & Nutrition Programs
    • Ergonomic Support
    • Return-to-Work Programs

    Emotional:

    • Mental Health Benefits
    • Support Programs

    Work-Life:

    • Location Events & Activities
    • Onboarding Plan & 'Buddy'
    • Recognition & Rewards Programs
    • Flexible Work Schedules
    • Paid Holidays
    • Paid Time Off

    Financial:

    • Retirement Programs
    • 401(k) Match
    • FSA/HSA Pre-Tax Benefits
    • HSA Match
    • HRA Funding
    • Discounts/Perks
    • Life/Disability Plans

    Community:

    • Charitable Giving
    • Volunteering & Mentorship
  • Benefits Part-Time

    At Office Depot, we offer our benefits around the 5 facets of Total Well-Being: Physical, Emotional, Work-Life, Financial, and Community. Here’s a look into what we offer:

    Emotional:

    • Employee Assistance Programs

    Community:

    • Associate Resource Groups focused on Diversity and Inclusion
  • About Us

    As the working world continues to evolve, so are we. Shifting from an office supplies retailer to a business services platform is not a simple task, nor is it one we take lightly. It requires the diverse talents and contributions from each and every associate – all driven by our 5C culture of Customer, Commitment, Change, Caring and Creativity. We’re working together to make a difference, challenge the status quo, and be the trusted experts that help our customers manage their businesses. We’ve got 40,000+ associates to date – and we’re always looking to add great talent to our team. The once-in-a-lifetime opportunity to help transform our company to fuel the businesses and communities around us is knocking. Start your #LifeAtDepot and discover how you can be a part of the transformation.

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Career Progression

  • 2014
    MERCHANDISING INTERN
  • 2015
    CATEGORY ASSISTANT
  • 2017
    SR. ASSOCIATE MERCHANT
  • 2020
    DIVISIONAL MERCHANDISING DIRECTOR

Associate Spotlight

Carlos Q
 

Carlos Quiros

Lead Functional Analyst, PMO

"I began my career as an intern in Property Accounting at Office Depot 12 years ago. Office Depot helped me leverage my academic background in Finance, leading me to tenures in General Accounting, Accounts Receivable, Financial Planning & Analysis. I was able to then pivot my career to the IT PMO, and more recently the EPMO. As a Lead Functional Analyst, I work to improve the financial visibility of projects to Project Managers and Leaders across the enterprise as well as to enable better decision making. I look forward to growing with Office Depot and contributing to a winning environment!"

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