About Us

The Kraft Heinz Company is one of the largest food and beverage companies in the world, with eight $1 billion+ brands and global sales of approximately $25 billion. We’re a globally trusted producer of high-quality, great-tasting, and nutritious foods for over 150 years. Our brands are truly global, with products produced and marketed in over 40 countries. These beloved products include condiments and sauces, cheese and dairy, meals, meats, refreshment beverages, coffee, infant and nutrition products, and numerous other grocery products in a portfolio of more than 200 legacy and emerging brands.

No matter the brand, we’re united under one vision: To sustainably grow by delighting more consumers globally. Bringing this vision to life is our team of 39,000+ food lovers, creative thinkers, and high performers worldwide. Together, we help provide meals to those in need through our global partnership with Rise Against Hunger. We also stand committed to responsible, sustainable practices that extend to every facet of our business, our consumers, and our communities. Every day, we’re transforming the food industry with bold thinking and unprecedented results. If you share our passion – and are ready to create the future, build a legacy, and lead as a global citizen – there’s only one thing to do: join our table and let’s make life delicious!

Our Culture of Ownership, Meritocracy and Collaboration

We're not afraid to think differently. Embrace new ideas. Dream big. We empower our people at every level – from entry-level intern to senior leader – to own their work. We share a responsibility to think like Owners – to be mindful of the collective and sustained success of Kraft Heinz – which we apply to every situation, every day.

As part of Kraft Heinz, you're supported to grow and achieve. You’re expected to bring your authentic self to work every day, to lead with humility, and drive outstanding performance at every level – and you’ll be rewarded. You’re given opportunities to leave a mark and build a legacy. But you won’t do it alone. You’re supported by passionate teammates along the way, and our collective, collaborative spirit fuels our incredible progress.

General information

All posting locations: Chicago, Illinois, United States of America

Job Function: 16 - Digital

Department: 16 - 03 - Software Engineering

Date Published: 06-May-2021

Job Type: Regular

Description & Requirements

The Staff Scientist - Machine Learning prototypes and develops machine learning models by utilizing state of the art tools/algorithms and methodologies following DevOps and a test-driven development process. Staff Scientist - Machine Learning is the key role to apply machine learning models at scale. At Kraft Heinz, the Staff Scientist - Machine Learning works in close collaborations with the Machine Learning Engineers and guide them to not only focus on model performance but also delivery stability, reproductivity and scalability of a software product.

  • Develop, own, implement and deploy state-of-the art ML algorithms and other predictive models which will serve as a guiding light for change and improvement
  • Own and integrate disruptive technologies (AI/ML, Automation, Optimization) focused on fundamentally transforming the way in which we operate setting the technical bar at an application level
  • Serve as an integral part of the Digital Revolution by being an advisor/leader of an agile pod
  • Collaborate with ML engineers to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the group
  • Design, develop and maintain the framework for analytical pipeline
  • Work with ML Engineers to help common components to address pain points in machine learning project, like model lifecycle management, feature store and data quality evaluation
  • Provide input and help implement framework and tools to improve data quality
  • Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the group
  • Deliver on time, demonstrating strong commitment to deliver on the team mission and agreed backlog

WHO YOU ARE

  • M.S. or Ph.D. in Computer Science, Electrical Engineering, Statistics, Applied Math or related topics
  • 5 years of experience working in a Machine Learning, Data Scientist or Software Engineer role
  • Ability to create and build proof of concept machine learning models into scalable solutions
  • Ability to apply software development best practice into machine learning project, including unit test, DevOps integration, release management, test driven development, etc.
  • Ability to automate development process of machine learning project by leverage state of art tools and technology like container, continuous integration and delivery, orchestration tools etc.
  • Experience with TensorFlow is preferred
  • Experience in SQL, relational databases, database concepts, dimensional modeling and database design
  • Intermediate in one or more programming languages used for modeling such as Java, C++, Python, R, Scala .
  • Familiar with one or more machine learning or statistical modeling tools
  • Experience with cloud platforms (Azure, AWS, GCP, etc.)

WHY US?

We're accelerating our ambition to become a best-in-class Digital leader by making data-driven investments that drive smarter business decisions. As the guardians of 200 beloved brands and the creators of innovative products, we're dedicated To Sustainably Grow by Delighting More Consumers Globally. What we build today helps bring joy to customers, consumers, and communities around the world tomorrow. Here at Kraft Heinz, we're not afraid to challenge the status quo. We are bold. We embrace new ideas. We value diverse perspectives. And we dare to do better every single day. We reward courage in the face of uncertainty. And every day, we are transforming our industry. We are creating the future of food, and we invite you to join us.

Equal Opportunity Employer–minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity