Responsibilities As other sectors have shifted to eCommerce-first business models in recent years, food & beverage has continued to rely predominantly on traditional brick & mortar models, but this is changing rapidly and a period of extraordinary disruption is now underway. New technologies are transforming every aspect of reaching consumers, from the rise of digital marketing and online grocery platforms, to the creation of supply chain tools that enable speedy at-home delivery. To seize this opportunity and lead the food & beverage industry into its remarkable next chapter, PepsiCo the international food & beverage powerhouse with annual net revenue exceeding $64 billion and beloved brands including Frito-Lay, Gatorade, Pepsi-Cola, and Quaker is expanding its Global eCommerce Team. As it needs the greatest minds in data & analytics, software development, machine learning optimization, and next-generation supply chain. Although PepsiCo is a large multinational, the PepsiCo Global eCommerce Team prides itself on having the entrepreneurial, action-oriented culture of an exciting startup business. As part of our group, work alongside Silicon Valley veterans, founders of successful startup companies, and food & beverage experts to address a wide variety of the fascinating technical challenges facing our industry. Given PepsiCos incredible global reach our foods and beverages are enjoyed more than one billion times a day in more than 200 countries and territories, and our value chain involves diverse partners ranging from farmers and food scientists to retailers and logistics specialists the challenges were addressing are complex and the solutions will be deeply impactful. The goal of the PepsiCo Global eCommerce Team is to build the technological products and capabilities that will reinvent our industry and make us the #1 food & beverage business in eCommerce for decades to come. Accountabilities: Develop technology project evaluations as well as proposal feasibility with the different eCommerce businesses Moving quickly to generate speedy business solutions Apply theoretical expertise and innovation to create or apply new technologies to apply to the entire digital landscape Act as a consultant to the broader business users, management, vendors, and technicians to determine technology needs and system requirements. Build new technologies and algorithms to optimize any business process Use large data sets to resolve major business and functional issues while improving data reliability, efficiency, and quality Optimize processes implementing new technology and automation across eCommerce businesses and eCommerce functions Skills, Abilities, Knowledge: Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management. Strong change manager. Comfortable with change, especially that which arises through company growth. Ability to understand and translate business requirements into data and technical requirements. High degree of organization and ability to manage multiple, competing projects and priorities simultaneously. Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment. Strong organizational and interpersonal skills; comfortable managing trade-offs. Proactively drives impact and engagement while bringing others along. Consistently attain/exceed individual and team goals Qualifications BS or MS degree in Computer Science or a related technical field 3+ years of Python development experience, Experience with multiple data technologies and concepts such as Airflow, Kafka, Hadoop, Hive, Spark, MapReduce, SQL, NoSQL, and Columnar databases Comfort with AWS including S3, ECR, EC2, and Lambdas Comfort with Docker and Kubernetes Experience with web scraping via requests library or web driver libraries such as playwright, selenium, or puppeteer Ability in managing and communicating technical plans to internal clients. Experience designing, building and maintaining data processing systems Knowledge of machine-learning tools and techniques Knowledge of in memory data structures such as Redis is a plus Proven self-starter who can move projects forward by filling in the gaps on Agile teams, from leading a design session to doing some test automation, to mentoring a teammate struggling with a new technology COVID-19 vaccination is a condition of employment for this role. Please note that all such company vaccine requirements provide the opportunity to request an approved accommodation or exemption under applicable law","location_name":"NY-New York - 49-Office","street_address":"12 E 49th StreetTower 29","city":"New York","state":"New York