Principal Data Scientist - HR & People

Job Description

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, including medical, dental and vision coverage, 7% 401(k) matching, Business Resource Groups (BRGs) to help foster diversity, inclusion, and belonging for all employees, an industry-leading total rewards package that emphasizes a high discretionary bonus.

*Benefits begin immediately upon hire for salaried employees.

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Principal Data Scientist at a glance

As a Principal Data Scientist you will sit within our Global Advanced Analytics team. You will help build our next generation of advanced analytics products using AI, Data Science, and Machine Learning, specifically applied to our HR and People space. We are looking for a Principal Data Scientist in our team to work closely with various business stakeholders, Product Owners, Data Scientists and Software Engineers to support building the future of People analytics and AI at Kraft Heinz.

What's on the menu?

• Be a subject matter expert within Data Science and AI / GenAI 

• Design, develop, and deploy advanced analytics and AI models to address key HR challenges, such as talent acquisition, retention, performance management, and employee engagement. 

• Identify and integrate disruptive technologies at an enterprise level (AI/ML, Automation, Optimization) focused on fundamentally transforming the way in which we operate as a company 

• Serve as an integral part of the broader Global Advanced Analytics team by being an advisor and leader across AI and data science digital initiatives     

• Create repeatable, interpretable, dynamic, scalable models as the heart of new statistical products. 

• Stay up-to-date with emerging trends and technologies in data science, AI, and machine learning, particularly as they apply to the People and HR space. Apply expertise in statistical modeling, data mining, and data visualization to drive business outcomes. 

• Engineer new features by using your business acumen to improve analytical models. 

Recipe for Success: Apply now if this sounds like you!

• I have experience with the implementation and delivery of large-scale enterprise advanced analytic models and related systems  

• I have demonstrated experience with developing and deploying AI and GenAI models/products 

• I have expertise in Python and/or R, and SQL and are eager to learn other languages and tools 

• I am proficient in machine learning to deliver clustering, time series, classification, regression, anomaly detection, simulation, and optimization queries. 

• I have an aptitude in Big Data technologies such as Snowflake or Redshift 

• I have familiarity with data science tools such as: TensorFlow, PyTorch, Scikit-learn, pandas, NumPy 

• I have proficient in data visualization tools such as Streamlit, Power BI 

Please note: This job posting is just a preview of the full scope of the posi