Manager, Data Science
Company: Comcast Corporation
Location: Philadelphia
Posted on: May 7, 2024
Job Description:
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
DescriptionCore 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.EducationBachelor's DegreeWhile
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 Experience5-7 Years
Keywords: Comcast Corporation, Cherry Hill , Manager, Data Science, Professions , Philadelphia, New Jersey
Didn't find what you're looking for? Search again!
Loading more jobs...