Kraft Heinz, The Company

As one of the world’s largest food and beverage companies, we are proud to spark joy around mealtimes with a global portfolio of more than 200 brands. Some are iconic master brands like Heinz, Kraft and Planters. Others are fast growing new sensations that defy status quo like DEVOUR and Primal Kitchen. No matter the brand, we are united under one vision To Be the Best Food Company, Growing a Better World. Bringing this vision to life are our 36,000+ teammates around the world, making food people love.

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Every day, we are transforming the food industry with bold thinking and unprecedented results. If you’re passionate like us -- and ready to create the future, build on a storied legacy, and participate as a conscientious global citizen -- there’s one thing to do join us.

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As part of the Kraft Heinz family you’re supported to grow and achieve. You’re recognized and rewarded for outstanding performance at every level. You’re given the opportunity to leave your mark and build legacies. But you won’t do it alone. This is where our values and teamwork thrives and collaborative spirit fuels every day.

General information

All posting locations: London, , United Kingdom

Job Function: 04 - IT

Department: 04 - 07 - Data Management

Date Published: 18-Dec-2020

Job Type: Regular

Description & Requirements

About the Position

This is a new and exciting role for Kraft Heinz International (EMEA- LATAM- APAC).  The International Analytics Data Scientist will be part of a growing and fast-moving International Analytics team and will be responsible for building and shaping the way we execute analytics projects.

We are seeking a driven- ambitious individual who is passionate about problem solving- creating solutions and leading the way for future innovation. The data scientist will be responsible for understanding business problems- building statistical models/machine learning algorithms and continuously improving solutions- working alongside data engineers in an agile environment.

This role also requires cross-functional collaboration with sales- commercial business units and revenue management teams. In this role- you will understand the business problem in detail- the requirements and the business expectations. You will also identify what data is available and relevant- including internal and external data sources- and leverage new data sources. With a solid understanding of the business problem and data requirements- you will then build solid and rigorous solutions.

In this role you will be required to troubleshoot issues raised by the business and be able to identify and explain the root cause (in business terminology) and propose- implement and test fixes. You should also be able to implement machine learning algorithms- from linear/logistic regressions- AB testing- advanced predictive models and optimisations- then validate results and findings.

The data scientist will also play a significant role in the innovation pipeline- from building prototypes to test business needs- through to implementation and scaling internationally. They’ll work closely with a variety of colleagues in data engineering- product management- and senior leadership.


Main Responsibilities

  • Collaborate with different business units to understand problems in detail
  • Create prototypes to test and prove out concepts to solve business needs
  • Work on existing data science models to iteratively improve them- with business feedback
  • Present model results in a clear manner to business units
  • Work closely with engineers to deploy solutions into production systems using standard software development tools and methodologies
  • Communicate the results and recommendations to the business partners in a clear manner and include their feedback to continuously refine models
  • Create both technical and business documentation of all solutions using Kraft Heinz standards
  • Work in an agile manner using Azure DevOps
  • Understand business logic in order to translate requests into advanced modelling techniques

Qualifications


Hard Skills

  • Bachelor’s degree in quantitative field (engineering- statistics- mathematics- analytics- finance)
  • Minimum 2-3 years hands-on- industry experience in analytics/data science/machine learning
  • Strong SQL database skills
  • Proficiency in at least one programming language (preferably Python)
  • Solid understanding of statistical theory- advanced calculus and optimization
  • Skilled at problem solving and idea leadership
  • Ability to work independently and project manage with minimal supervision
  • Experience with Cloud- Snowflake- Azure ML and Azure DevOps is preferred

Professional Attributes

  • Communication Skills
    • At Kraft Heinz you’ll easily be exposed to senior management- no matter your level. Therefore- it’s important you have excellent communication skills- to deal with all kinds of different stakeholders.
  • Ability to Simplify
    • We like to keep it simple. And to execute fast. Your ability to simplify will be highly appreciated- when you provide simple solutions dealing with complex situations.
  • Critical Thinking
    • Have strong critical thinking skills- demonstrating the ability to see the “big picture” while also diving into the details where necessary
  • Project management skills
    • Time management has no secrets for you. You’re organized- structured and always have an overview of all the deliverables. You know how to bring multiple projects to a successful ending within the given timeframe.
  • Proactive
    • You are a self-starter- driven by purpose and driving initiatives and actions through to their conclusion. You are not afraid to challenge to get the right result

What we offer you

  • An ambitious employer; we only want to the best for you;  
  • A fast career track like only few other companies can match;
  • A competitive salary and excellent bonus structure (above market);
  • Permanent contract; for we believe in doing big bets on people;
  • Always room for new ideas; if you have an excellent idea- please let us know and we can set it in action!
     

Location (s): London or Amsterdam

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