Senior Data Scientist

Full time

Employment Information

Description & Requirements

Are you a talented and driven Data Scientist with expertise in machine learning and a passion for building robust pipelines for demand forecasting? We are seeking a skilled individual to join our dynamic team at Kraft Heinz. Join our team and make an impact by leveraging machine learning and demand forecasting to drive data-driven decisions and optimize our business operations.

What’s on the Menu?

As a Senior Data Scientist, you will be a key contributor on demand forecasting team. You will build and test statistical and machine learning models to accurately predict demand from our retailers. The models you build will be deployed into a production setting where your models will drive value across all our brands. You will provide updates and results to the Product Owner and Data Science Lead on the progress of your work while partnering with the business users to identify modeling opportunity areas.

Key Ingredients:

  • Utilize your strong analytical skills and machine learning expertise to develop advanced time-series models for demand forecasting.
  • Collaborate with cross-functional teams to identify and define business problems related to demand forecasting.
  • Conduct exploratory data analysis and feature engineering to extract valuable insights from complex datasets.
  • Develop and implement machine learning algorithms to optimize demand forecasting accuracy and efficiency.
  • Evaluate and fine-tune models by applying statistical methods and running experiments on real-world data.
  • Communicate findings and insights to team members and work with the team to define modeling next steps
  • Recipe for Success: Apply if it sounds like you!
  • Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
  • 2+ years experience with predictive modeling time-series, machine learning, statistical modeling
  • Experience building demand forecast models
  • Proficiency in programming languages such as Python and R, as well as libraries like scikit-learn
  • knowledge on factors that influence shipment demand
  • Proficient in SQL and working with relational databases.
  • Experience using cloud-based services such as AWS, Azure, or Google Cloud
  • Excellent problem-solving skills and ability to think critically about complex business challenges.
  • Strong communication skills
  • Proven ability to work effectively in a collaborative, fast-paced environment.
  • We hope to find you a seat at our table!

About Us

Kraft Heinz is a global food company with a delicious heritage. With iconic and emerging food and beverage brands around the world, we deliver the best taste, fun and quality to every meal table we touch. We’re on a mission to disrupt not only our own business, but the global food industry. A consumer obsession and unexpected partnerships fuel our progress as we drive innovation across every part of our company.

Around the world, our people are connected by a culture of ownership, agility and endless curiosity. We also believe in being good humans, who are working to improve our company, communities, and planet. We’re proud of where we’ve been – and even more thrilled about where we’re headed – as we nourish the world and lead the future of food.

Why Us

We grow our people to grow our business. We champion great people who bring ambition, curiosity, and high performance to the table as the guardians of our beloved and nostalgic brands. Good isn’t good enough. We choose greatness every day by challenging the ordinary and making bold decisions. All while celebrating our wins - and our failures – as we work together to lead the future of food.

Challenging the status quo takes talent. We invest in your purpose and potential by developing skills and nurturing strengths that leave a legacy on our business and a lasting impact on your career. Because great people make great companies, and we’re growing something great here at Kraft Heinz.

Kraft Heinz is an Equal Opportunity Employer - Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.


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