Manager, Data Science

3 weeks ago

Philadelphia, Pennsylvania, 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 SummaryThe Supply Chain Data Science Manager a is key contributing member of the team responsible for decision support technologies associated with Comcast demand and supply planning. These technologies may include artificial intelligence, machine learning, statistical techniques, mixed integer linear programs, reporting/big data analysis, dashboarding, data integration, and other heuristics/algorithms. These technologies are primarily provided by O9 solutions and /or may either be internal Comcast custom built or 3rd other party applications. The successful candidate will partner with Comcast Planning and Operations team members to support and drive overall Comcast demand/supply planning solution optimizations / improvements within O9 solutions. They will be a part of the team responsible for continuous improvement planning roadmap and the technical design of all data science related projects.

Job Description

Required 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 have experience developing forecasting models, using time–series, machine learning, or deep learning algorithms and techniques. Experience in Data science, machine learning, or optimization modelsExperience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) 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 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 advanced capabilities in Excel, PowerPoint, SQL, and Python to conduct analyses, build models, and present findings. 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: A minimum of 6+ years of data science/ops research experience preferably within the supply chain industry, demand planning, 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. 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 Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non–sales positions are eligible for a Bonus. Additionally, Comcast provides best–in–class Benefits. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always–on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

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