Here at Kraft Heinz, we grow our people to grow our business, because we believe that great people make great companies. When you join our table, you can expect access to an array of holistic wellness benefits* and perks, DCPP, VRSP, and TFSA, Business Resource Groups (BRGs) to help foster diversity, inclusion and belonging for all employees and an industry-leading total rewards package that emphasizes a high discretionary bonus.
*Benefits begin immediately upon hire.
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Senior Data Scientist - Logistics at a glance…
You will help build our next generation of advanced analytics products using AI, Data Science, and Machine Learning. Within the Logistics domain, you will design, develop, and implement solutions to problems related to transportation spend and utilization to help improve customer delivery outcomes.
What’s on the menu?
- Implement systematic approaches to deliver value-add solutions in partnership with a trailblazing team of data engineers, analysts, developers, and supply chain experts.
- Explore various transportation datasets and contextualize events by joining with data from elsewhere in the organization
- Gain expertise in supply chain domain, identifying data availability, location, and robustness
- Create repeatable, interpretable, dynamic, scalable models at the heart of new statistical products.
- Engineer new features and test various modeling approaches by using your domain experience to develop industry-leading analytical products.
- Perform root cause analysis into drivers of valid and invalid customer claims and deductions
- Show the value of data-driven decision-making
Recipe for Success - apply now if this sounds like you!
- I have a Bachelor’s in Data Science, Computer Science, Engineering, Operations Research or Statistics with 5+ years of experience.
- I have experience implementing AI algorithms in Python and/or R, and I am able to quantify and articulate the value of the models I develop.
- I am proficient in leveraging Big Data technologies like Snowflake and Spark to perform data wrangling and exploratory analysis.
- I am proficient in linear programming and other optimization techniques.
- I am comfortable synthesizing inquiries to subject matter experts in Supply Chain to get clarity on data and process questions and sanity-check result.