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Job Details

Senior Manager Data Science/AI/ML

Company name
Comcast

Location
Philadelphia, PA, United States

Employment Type
Full-Time

Industry
It, Engineering, Sciences

Posted on
May 01, 2023

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Profile

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

Responsible for providing leadership and direction for the team by incorporating broad business and domain knowledge to address complex, unusual, and critical issues that are relevant to business needs. Oversees the design, implementation, and evaluation of Data Science Models and ML engineering & operations. Guides teams to successfully deploy and operate predictive models and machine learning products and applications. Integrates knowledge of business and functional priorities into day-to-day operations. Proactively engages to solve business challenges and discover new products using data science & machine learning techniques. Acts as a key contributor in a complex and crucial environment. Provides mentoring and guidance to data scientists and engineers.

Job Description

Role Description:

The Data Science team builds end-to-end systems that democratize machine learning to meet the needs of the business by partnering with key internal and external stakeholders to enable data scientists to build and deploy machine learning solutions at scale.

Core Responsibilities

Develops and communicates goals, strategies, tactics, project plans, timelines, and key performance metrics to reach goals.

Leads the development of statistical and mathematical solutions to business problems. Frames problem, develops roadmap and communicates intended approach and quantitative methods to develop solution.

Develop a system that supports traditional ML models, time series forecasting, and deep learning

Leads the team on 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.

Build customer-centric models and optimization tools to support large-scale projects that utilize online & offline data, structured & unstructured data

Work closely with data warehouse architects and software developers to generate seamless data science solutions for deployment.

Guides the successful completion of high-profile, revenue-impacting programs that use machine learning as essential components. Determines the technical objectives of an assignment. Serves as a leader across multiple teams for machine learning technologies and areas of research, including the design of prototypes and partnering with the product team.

Leads teams in the design and development of specifications, technical requirements, algorithms, and frameworks of custom machine learning-based designs for future products and applications.

Acts as a subject matter expert in designing and prototyping high-complexity machine learning models. Leads innovation in technical capability delivery.

#EBICareers

Competences:

Ability to lead data science teams and machine learning engineers and choreograph delivery

Experience translating analysis results into business recommendations

Proven skills in selecting the right statistical tools given a data analysis problem.

Ability to communicate complex concepts in easy-to-understand terminology

Team player with a 'can-do' attitude

Ability to work effectively across functions, disciplines, and levels

Preferred Education Level:

Master's degree in Computer Science, Engineering, Operations Research or another quantitative field.

Experience:

10 years of relevant working experience

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 an EOE/Veterans/Disabled/LGBT employer.

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, 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

7-10 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 (https://jobs.comcast.com/life-at-comcast/benefits) on our careers site for more details.

Company info

Comcast
Website : http://corporate.comcast.com

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