Manager, Data Science

2 weeks ago

Philadelphia, United States Comcast Corporation Full time

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.
**Job Summary**

**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 **O**9 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.
- 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.

**K**nowledge/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 id

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