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Assistant Chemical Engineering Data Science Jobs in Kentucky

... on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT STEM extension * Help with OPT Employment letter: Help with drafting and obtaining OPT employment ...

$78 - $176/hr

On our team, you'll use your analytical skills and data science knowledge to create real-world ... programming languages for data analysis* 2+ years of experience with developing, updating ...

New

Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine ...

$120 - $150/hr

Collaborate directly with engineering, product, and customers to solve complex problems * Ensure ... in data science, applied ML, or AI research with production experience * Strong statistical ...

New

$180 - $248/hr

Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating ...

New

$219 - $301/hr

What we look for: * 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role * Experience building distributed data systems * Comfortable programming ...

New

$110 - $160/hr

The successful candidate will apply data science, programming, and analytical skills to intelligence and GEOINT data, supporting data exploitation, analytic workflows, and the development and testing ...

New

Xometry is seeking a Senior Data Scientist to our sourcing team. The ideal candidate will have a ... science, natural sciences or engineering preferred * M.S. or Ph.D. in a related field highly ...

$120 - $170/hr

Why this role exists We're building out the modeling and data science behind Dataro's US ... It uses agentic AI to research and build rich profiles on prospective donors -- and the engineering ...

New

... Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics - 2 years of experience What Sets You Apart ...

$155 - $260/hr

... Data Science function. You will partner with Product, Engineering, Design, Go-to-Market, and company leadership to define how we measure product success, understand user behavior, and make high ...

New

$180 - $200/hr

## Assistant Vice President, DataApplylocations: Remote USAtime type: Full timeposted on: Posted 4 ... Data Science, ML Engineering, MLOps, AI Ethics, Data Quality, and Data Governance functions.

New

$140 - $190/hr

We were founded in 2009 to assist government clients with evaluating and achieving their objectives ... Own the product roadmap and priorities across data engineering, data science, backend, search, and ...

New

Senior Data Scientist

Canada, KY · On-site +1

$180K/yr

Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers seamlessly integrate with client teams to solve their most challenging business problems.

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... assist with this work, including providing coaching, feedback and guidance on work performance ...

$180 - $248/hr

Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating ...

New

$140 - $247/hr

Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating ...

New

Showing results 41-60

Assistant Chemical Engineering Data Science information

What are the most commonly searched types of Chemical Engineering Data Science jobs in Kentucky?

The most popular types of Chemical Engineering Data Science jobs in Kentucky are:

Director, Data Platforms Engineering

Yum! Brands

Louisville, KY

Full-time

Re-posted 9 days ago


Yum! Brands rating

5.4

Company rating: 5.4 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Yum! Brands is seeking a strategic and technically accomplished Director to lead the Data Architecture, Engineering, and Operations functions within the AI, Data & Analytics organization.


This role is responsible for defining the vision, strategy, operating model, and execution framework for enterprise data platforms that power analytics, AI, and business operations across Yum! Brands. As a key member of the DP&E leadership team, this individual will lead globally distributed teams, oversee strategic technology investments and vendor partnerships, partner with executive stakeholders, and drive alignment between platform capabilities and enterprise objectives. 
The ideal candidate combines proven experience leading large-scale technical organizations with deep expertise in modern cloud data platforms, data architecture, and engineering practices. They will be equally comfortable influencing enterprise strategy, building high-performing teams, communicating with senior leadership, and guiding technical decisions that drive scalability, reliability, and innovation. 

Qualifications & Requirements

Experience 

  • 12+ years of experience in data engineering, data platforms, or data architecture. 

  • 5+ years of experience leading global, distributed technical teams. 

  • Proven track record of owning and delivering enterprise-scale data platforms and architecture. 

  • Experience operating effectively in complex, matrixed organizations. 

Technical Skills 

  • Deep expertise in modern data platforms, including Snowflake, dbt Core, Airflow/Astronomer, and AWS. Informatica IICS experience is a plus. 

  • Experience with data observability tools such as Monte Carlo or similar platforms. 

  • Strong background in data modeling, including physical, semantic, and domain-oriented approaches. 

  • Proven experience designing and building scalable batch and real-time data pipelines. 

  • Solid understanding of distributed data systems, platform operations, observability, and data quality practices. 

Leadership Skills 

  • Demonstrated ability to influence senior stakeholders and shape technical and business strategy. 

  • Strong capability to translate business needs into scalable technical solutions. 

  • Proven experience building and leading high-performing technical teams. 

  • Excellent communication, presentation, stakeholder management, and executive relationship-building skills. 

Education 

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Salary range: $218,600 - $273,100 + eligible bonus + comprehensive benefits

Qualifications & Requirements

Experience 

  • 12+ years of experience in data engineering, data platforms, or data architecture. 

  • 5+ years of experience leading global, distributed technical teams. 

  • Proven track record of owning and delivering enterprise-scale data platforms and architecture. 

  • Experience operating effectively in complex, matrixed organizations. 

Technical Skills 

  • Deep expertise in modern data platforms, including Snowflake, dbt Core, Airflow/Astronomer, and AWS. Informatica IICS experience is a plus. 

  • Experience with data observability tools such as Monte Carlo or similar platforms. 

  • Strong background in data modeling, including physical, semantic, and domain-oriented approaches. 

  • Proven experience designing and building scalable batch and real-time data pipelines. 

  • Solid understanding of distributed data systems, platform operations, observability, and data quality practices. 

Leadership Skills 

  • Demonstrated ability to influence senior stakeholders and shape technical and business strategy. 

  • Strong capability to translate business needs into scalable technical solutions. 

  • Proven experience building and leading high-performing technical teams. 

  • Excellent communication, presentation, stakeholder management, and executive relationship-building skills. 

Education 

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Key Responsibilities

Strategic Leadership & Organizational Excellence 

  • Serve as a primary representative of Data Platforms & Engineering within Yum! to executive leadership, building trusted relationships with senior business, technology, and market leaders while influencing enterprise strategy, technology investments, and platform priorities. 

  • Develop and deliver executive-level communications, business cases, strategic roadmaps, and operational reviews, translating complex technical concepts into clear business outcomes and actionable recommendations for senior leadership and C-level stakeholders. 

  • Lead a globally distributed organization supporting enterprise data platforms, establishing operating models, execution frameworks, and accountability mechanisms that support Yum!'s AI, Data & Analytics strategy. 

  • Build high-performing technical teams through coaching, succession planning, and organizational development while driving prioritization across competing business and technology demands. 

  • Own budget planning and financial stewardship across assigned platforms, tooling, vendor relationships, and delivery functions. 

Modern Data Stack Ownership 

  • Own the strategy, roadmap, and continuous evolution of the modern cloud data stack, including Snowflake, dbt Core, Airflow/Astronomer, Monte Carlo, AWS, and related technologies. 

  • Establish engineering standards across CI/CD, automated testing, modular pipeline design, semantic modeling, and observability. 

  • Evaluate and introduce emerging technologies, including AI-driven automation, to improve platform scalability, operational efficiency, and speed of delivery. 

Enterprise Data Platform Strategy 

  • Define and execute the long-term vision, roadmap, and operating model for enterprise data platforms in partnership with AIDA leadership. 

  • Drive platform standardization and modernization efforts across brands, functions, and technology teams while influencing investment decisions and technical priorities. 

  • Lead strategic vendor partnerships, contract negotiations, and commercial discussions while evaluating build-versus-buy decisions. 

Data Platform Leadership 

  • Lead globally distributed teams across Data Architecture, Engineering, and Operations, providing strategic direction, organizational leadership, and technical oversight for enterprise data platforms. 

  • Establish enterprise architecture patterns, engineering practices, and operational processes that improve platform quality, resiliency, maintainability, and speed of delivery. 

  • Oversee delivery and support of enterprise data products, platform capabilities, and foundational datasets that power analytics, AI, and operational decision-making. 

  • Drive continuous improvement through automation, observability, performance optimization, and operational excellence. 

  • Serve as the senior authority for platform architecture and engineering decisions, guiding complex technical tradeoffs and influencing enterprise technology standards. 

Business Partnership & Data Product Enablement 

  • Partner with business, product, technology, and BYTE Engineering leaders to translate strategic priorities into scalable data products and platform capabilities. 

  • Act as a trusted advisor on platform capabilities, architecture decisions, and data strategy, ensuring alignment between technical investments and business outcomes. 

  • Drive adoption and measurable value of enterprise data products while ensuring solutions are scalable, reusable, and aligned with broader enterprise technology roadmaps. 

Talent & Organizational Development 

  • Lead, mentor, and scale global teams by defining talent strategies, organizational structures, and capability development plans that support long-term growth and evolving business needs. 

  • Build and sustain a heart-led, high-performance culture focused on ownership, innovation, collaboration, and delivery excellence. 


What Yum! Brands employees say

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