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Group Lead- Principle Data Scientist
Company | The Kraft Heinz Company |
Address | Chicago, IL, United States |
Employment type | FULL_TIME |
Salary | |
Category | Food and Beverage Services,Food and Beverage Manufacturing,Manufacturing |
Expires | 2023-07-25 |
Posted at | 10 months ago |
General information
- Keep abreast of digital and technology trends to guide the Data Science and business team.
- Collaborate to refine best practices and deploy best-in-class solutions.
- Engineer new features by using your business acumen to improve analytical models.
- Co-develop and follow enterprise wide standards.
- R&D to Identify growth opportunities and execute innovative ideas
- Contribute to improving Data Science competency across Kraft Heinz
- Be the subject matter expert for Data Science
- Evangelize the value of data-driven decision-making.
- Deliver systematic approaches and integrating work into products and tools with a trailblazing team of data engineers- analysts- developers- and sometimes chefs.
- Collaborate with other principals at other companies to ensure we are an industry leader in Data science.
- Serve as an integral part of the Digital Revolution by being an advisor and leader of all data science digital initiatives .
- Lead- mentor- and advice other team member s
- Attend conferences- engage in user groups / meetups etc .
- Create repeatable- interpretable- dynamic- scalable models as the heart of new statistical products.
- Lead and be accountable for the design and development of the state-of-the art ML algorithms and various models.
- Make presentations to various teams and stakeholders.
- 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.
- Work in conditions- which include multiple and sometime conflicting priorities.
- Bachelors- Masters or doctorate in computer science- software engineering- applied mathematics or similar disciplines- or equivalent professional experience.
- Demonstrated experience with the development and deployment of enterprise scale data architectures- specifically to support consumer package goods industries’ data science and machine intelligence applications- including those whose requirements may not be known for years to come.
- 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.
- You have expertise in Python and/or R and are eager to learn other languages and tools.
- 10+ years of experience with the implementation and delivery of large-scale enterprise data fusion models and related systems
- Demonstrated experience with customer-centric agile methods.
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