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Job Summary

Job Description

Core Responsibilities

• Generate and evaluate competitive/alternative data science and engineering approaches to problem solving. 

• Recommend AI/ML models and techniques that achieve business objectives. 

• Excel in the role as the overall Data Science Architect for Comcast Supply Chain.  

• Responsible for improving forecast accuracy on the O9 platform through the development of enhanced ML/AI models. 

• Responsible for ensuring the success of all business unit forecasts by enhancing accuracy and serving as the key liaison to filter and understand requests, thereby supporting operational enhancements and updates aligned with ongoing business needs. 

• Develop training materials to educate business users on how to leverage AI/ML models. 

• Monitor Demand Planning KPIs to identify areas of opportunity to improve the outputs of the statistical and ML models. 

• Conceptualize, design, and implement new demand and supply planning KPIs to support the Demand Driven Supply Network. 

• Interacts with product and service teams to identify questions and issues for data analysis and experiments.
• Leads development and coding of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Uses analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, lifetime value, propensity models).
• Leads development and execution of statistical and mathematical solutions to business problems to support larger initiatives.
• Leads creation of data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.
• Manages the production of analysis of historical patterns in customer behaviors and product performance from large, noisy, and complex datasets. Manages development and deployment of predictive models based on historical data that provide future predictions about customer behavior.
• Constructs forecasts, recommendations and strategic/tactical plans based on applying data science techniques to business data.
• Researches, educates and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.
• Creates and oversees deliverables and presentations that report methodology and results of analysis.
• Leads the development of customer centric models and optimization tools to support large scale projects that utilize online and offline data, structured and unstructured data, set top box data and media/behavioral/attitudinal data.
• Consistent exercise of independent judgment and discretion in matters of significance.
• Regular consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
• Other duties and responsibilities as assigned.

Knowledge/Skillset: 

• You are an effective and prolific doer, but you are also a creative thinker that likes to operate outside the box and suggest alternative solutions. 

• You are a lifelong learner, who is driven by curiosity and a desire to make a positive impact in the organization. 

• You are results-driven, possess business acumen, and an ability to communicate your work and your findings.  

• You are an engineer at heart with an analytical mindset, but with a keen sense of serving the business. 

• You have experience developing forecasting models, using time-series, machine learning, or deep learning algorithms and techniques. 

• You have advanced capabilities in Excel, PowerPoint, SQL, and Python to conduct analyses, build models, and present findings. 

• You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.  

• You have experience with GitHub and with one or more ML cloud compute solutions: AWS SageMaker, Microsoft Azure, Google Cloud, Kubeflow, Databricks, etc. 

• You have excellent project management, organizational, and collaboration skills. 

• You enjoy working in global teams, assisting and educating less experienced members, while also learning from more senior colleagues. 

• You take initiative and have the ability to drive projects to completion at each phase of the process, from ideation, to data acquisition, to engaging with stakeholders, to developing the models, to evaluating and fine-tuning their performance, to productionizing solutions via ML pipelines, to building model performance reports. 

Preferred Requirements: 

• 6+ years of advanced supply chain data science experience preferably within the CPG industry and/or retail replenishment. 

• Master’s Degree in Statistics, Operations Research, Data Science, Computer Science or related field. PhD a plus. 

• Experience in supply chain planning systems and their data science capabilities like 09 Solutions, SAP APO, Blue Yonder, or other top tier solutions. 

• Knowledge of and experience with leading data reporting applications including Tableau, Power BI, Qlikview, etc. 

• Knowledge of how supply and demand best practice business and data processes generate business value.  Including, but not limited to demand forecasting, inventory management, supply planning, Sales and Operations Planning, and replenishment planning. 

• Demonstrated track record of innovative and effective applications of data science principles, technology, and techniques to solve business problems efficiently. 

• Knowledge of and experience with best practice demand management metrics; forecast accuracy, demand attainment, bias, planner value add. 

• Intelligence, integrity, domain knowledge, and verbal agility that allows you to earn the trust of business and technical teams across the company. 

• Excellent operational and managerial skills required, with a proven track record of successful management of complex, data driven demand forecasting, logistics, supply chain, & operations. 

• The successful candidate will have multiple years of consumer goods retail environment, utilizing advanced modeling techniques as a basis to drive results.  A strong analytical & data mindset is essential for this position. 

Employees at all levels are expected to:

• Understand our Operating Principles; make them the guidelines for how you do your job.
• Own the customer experience - think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
• Know your stuff - be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
• Win as a team - make big things happen by working together and being open to new ideas.
• Be an active part of the Net Promoter System - a way of working that brings more employee and customer feedback into the company - by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
• Drive results and growth.
• Respect and promote inclusion & diversity.
• Do what's right for each other, our customers, investors and our communities.

Disclaimer:This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
 

Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience

5-7 Years