Job Description

Job Description

PepsiCo operates in an environment undergoing immense and rapid change, driven by eCommerce and emergent retail technologies. To ensure continued success in the food and beverage space, PepsiCo has assembled a dedicated eCommerce team tasked with optimizing eCommerce operations and developing innovations that will give PepsiCo a sustainable competitive advantage. While tied closely to broader PepsiCo, the eCommerce group more closely resembles a start-up environment; embracing the core values of having bias for action, being results oriented, maintaining a community-focus, and prioritizing people.

PepsiCos Data Science and Analytics group is a team of data scientists, technology specialists, and business innovators who operate within eCommerce to build industry-leading systems and solutions. By focusing on machine learning and automation, the Data Science & Analytics group is pushing the bounds of possibility for PepsiCo and its strategic partners.
What PepsiCo Data Science & Analytics does:

* Build machine learning systems to understand the cross-channel grocery ecosystem
* Perform statistical analysis across diverse datasets to drive and measure performance
* Work with PepsiCos strategic partners to expand their technical capabilities, thereby creating a more robust data environment
* Utilize natural language understanding techniques to uncover insights from contextual data
* Develop scalable tools to drive automation and optimize business operations

As a DSA Data Scientist, you will play a critical role in executing the global ecommerce growth agenda. You will be tasked with identifying, designing, and implementing data science/machine learning solutions to business problems. You will collaborate with the larger data science and analytics teams 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.

Responsibilities:

* Exploratory Data Analysis for a wide range of internal and external data sources
* Data wrangling and visualization
* Work with the larger data science team to analyze large data sets and develop 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

Qualifications/Requirements

* Bachelors Degree in Data/Computer Science, an engineering disciple, or equivalent, Masters preferred.
* Extensive Python experience
* Experience and or familiarity with NumPy, Pandas, SQL
* Experience productionizing machine learning models using Docker/ AWS / Sagemaker
* Familiarity with mathematical models underlying data science methods
* Knowledge of statistics and linear algebra
* Demonstrated ability to effectively and concisely communicate with both business and technical audiences

Nice to have:

* Experience with Deep Learning or sklearn
* Experience with Marketing analytics and/or Mixed Market Modeling (MMM)

We believe that culture should be at the cornerstone of everything we do at PepsiCo eCommerce. Operating with a start-up mindset, we are agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways of bringing enjoyment, refreshment and fun to the world.

So if youre looking to solve real world problems at a company that has the resources to make real change, then we want you at PepsiCo.

Relocation Eligible: Not Eligible for Relocation
Job Type: Regular