1+ months

eCommerce Data Scientist

New York, NY 10007
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Auto req ID: 220287BR

Job Description

eCommerce Data Scientist

Put the Power of Data to Work.
Our Data Science & Analytics team at PepsiCo influences every aspect of how we sell and move our products, defining the data science roadmap across multiple groups and ensuring timely delivery of projects committed against that roadmap.

Whether its employing matrix decomposition techniques or leveraging Google TensorFlow to advance sales forecasting, our teams mathematical genius and discipline enables business value and strategic decisioning across our businesses.

In fact, PepsiCo has been laser focused on meeting consumer needs and winning in the marketplace. Investing in eCommerce, digital capabilities and talent has been a huge part of that effort, with $3 billion in retail sales projected for the rest of this year.

With a team of more than 250 associates and offices in Manhattan, Chicago, Plano, and Silicon Valley, were working to unleash the full potential of automation, data science, and machine learning to challenge the way snacks and beverages are sold every day.

We're looking for a Senior Data Scientist to join our growing eCommerce team. When you join us, youll build machine learning systems, uncover game-changing insights and use techniques like matrix decompositions, Fourier transforms, Fourier series, gradient descent and differentiable programming to shape and execute our global eCommerce growth agenda.

In this role as an eCom Data Scientist you will have several distinct responsibilities and priorities:

What PepsiCo Data Science & Analytics does:

  • Data & Security Building an efficient infrastructure and ETL pipeline to process Terabytes of data every day ensuring quality and eliminating duplication
  • ROI Engine An interpretable sales forecaster implemented in TensorFlow. We execute a distributed hyperparameter search, across thousands of instances, to select the most plausible explanatory models using a heuristic we've designed in collaboration with our business stakeholders. We love autodiff, linear algebra, and domain-knowledge based regularization.
  • Data Platform Comprised of multiple layers in the cloud to help aggregate, sort and store information from both internal sources and external vendors. We are regularly implementing new tools/methodologies to help empower our data engineering efforts.
  • Marketing Automation Empowering our Marketing team by enabling them to execute and automate a large number of marketing campaigns in our many customer retail platforms (i.e., Instacart, Amazon, Walmart, etc.).
As an eCom Data Scientist, you will play a critical role in executing the global ecommerce growth agenda. You will work directly with members of the Data Science & Analytics (DSA) team in identifying, designing, and implementing data science/machine learning solutions to address business problems. You will collaborate within DSA to create a robust, shared codebase; on which PepsiCo will build automated eCommerce systems. You will work with internal business stakeholders and strategic partners to identify opportunities for collaborative development and foster a data-driven culture between relevant teams.
  • Work within the data science team to analyze large data sets and assist in the development of custom models/algorithms to uncover trends, patterns and insights
  • Write clean, organized machine learning code using standard software engineering methodologies
  • Provide statistical analysis assistance for business requests, build automated tools in support of these requests


  • Bachelors Degree in Data/Computer Science, an engineering or scientific disciple, or equivalent experience
  • Development and/or deployment experience in Python on Docker and AWS
  • Experience and or familiarity NumPy, Pandas, Pytorch, PostgresSQL, MSSQL, MySQL
  • Familiarity with mathematical models underlying data science methods
  • Demonstrated ability to effectively and concisely communicate with both business and technical audiences
Nice to have
  • Experience with Marketing analytics and/or Mixed Market Modeling (MMM)
  • Linear Algebra
  • Experience or knowledge of low-level TensorFlow APIs

Relocation Eligible: Not Eligible for Relocation
Job Type: Regular

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity

Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections 4901 - 4919, commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.

If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy

Please view our Pay Transparency Statement","city":"New York City","state":"New York

Jobs Rated Reports for Data Scientist

Posted: 2020-10-29 Expires: 2020-12-06

Performance with Purpose

Out performing ourselves is a rush. That's why we perform with purpose. Together, we blaze new trails, succeed, celebrate and then do something even bigger. We never settle for second best. At PepsiCo we're not just committed to performing well as individuals, but as a team, to strengthen the company as a whole.

Around the world, we're working hard to give people the tastes they crave and the nutrition they need. We dream globally and act locally, constantly innovating to sustain our planet, our people, our communities and our business practices. New markets mean new ways of doing business, and new ways of addressing health concerns, cultural differences and environmental challenges. Every day is an adventure, and an opportunity for personal and professional growth.

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eCommerce Data Scientist

PepsiCo Inc.
New York, NY 10007

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