Data Scientist 1207 views

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 a bias for action, being results-oriented, maintaining a community-focus, and prioritizing people.

PepsiCo’s 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 and extend deep learning solutions which drive business growth
• Build machine learning systems to understand the cross-channel grocery ecosystem
• Perform statistical analysis across diverse datasets to drive and measure performance
• Work with PepsiCo’s 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 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

• 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 critical thought leadership to enhance organizational capabilities by utilizing big and small data; work with DSA team members to identify and execute on opportunities for enhancement

Qualifications/Requirements

• Education in a computer science/math related technical field (Masters preferred, bachelors minimum)
• Development experience in Python Experience and or familiarity NumPy, Pandas, Sklearn, SQL/NoSQL databases
• Experience using Tensorflow or similar framework to design custom deep learning systems
• Expert in mathematical models underlying data science methods, understanding the trade-offs between different solutions Candidate should be a competent software engineer capable of contributing to their software repository and owning/leading complex ML software projects Experience in designing systems to solve business problems
• Demonstrated ability to effectively and concisely communicate with both business and technical audiences Bonus points for deep RL or NLP experience