Senior Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Today, Kraft Heinz is building a new legacy by investing in a robust Digital infrastructure to revolutionize the food industry. We're embracing Agile ways of working and immersing ourselves in Advanced Analytics to connect meaningful insights to our consumer experiences - all while honoring a 150-year heritage and a portfolio of 200 iconic brands. Every day, we gather huge amounts of data into a robust data infrastructure. Now, we are on a mission to transform that data into Digital products that inform our decisions and drive tangible impact. Our tech stack includes Python, Azure, Snowflake and ReactJS.

WHAT YOU’LL DO

As a Senior Data Scientist you will be a core member of one of our nimble, cross-functional teams – disrupting from inside of a global powerhouse. You will help build our next generation of advanced analytics products using AI, Data Science, and Machine Learning. Examples of problems you will solve include helping R&D determine the next generation of household products, revolutionizing consumer engagement with personally relevant content, and reinventing our supply chain to eliminate food waste. Furthermore, you will:

• Deliver systematic approaches and integrating work into products and tools with a trailblazing team of data engineers, analysts, developers, and sometimes chefs.
• Create repeatable, interpretable, dynamic, scalable models as the heart of new statistical products.
• Engineer new features by using your business acumen to improve analytical models.
• Collaborate to refine best practices and deploy best-in-class solutions.
• Evangelize the value of data-driven decision-making

WHO YOU ARE

• You have a Bachelor’s in Data Science, Computer Science, Engineering, or Statistics with 5+ years of experience.
• You have expertise in Python and/or R and are eager to learn other languages.
• You are proficient in machine learning to deliver clustering, time series, classification, regression, anomaly detection, simulation, and optimization queries.
• You have an aptitude in Big Data technologies like Hadoop, Spark, or distributed databases like Redshift and Snowflake.