Scientist 3, Enterprise Data Analytics - Virtual

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Job Summary

Our team's mission is to improve Comcast's products using data and science. We value honesty and transparency, built on a foundation of mutual respect and shared commitment to improve. Are you interested in working closely with product owners, engineers, designers, user researchers, and others to understand our products and customers? You will analyze large amounts of data to understand how we can improve our products, including for example mobile, web, and set top box video as well as IOT and home network products! Please consider applying if you think you may be a good fit. Responsible for leveraging internal and external data to provide insights and information which supports a facts-based decision making process. Provides input into strategy, analysis methods and tool selection. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience.

Job Description

Responsibilities:

• Conducting analyses and building models to provide insights about our products and customers
• Designing experiments around new and existing features advocating for change based on your insights
• Building and improving internal tools
• Improving the team by adopting new methods, techniques, tools and processes.

Core Responsibilities

• Develops and executes statistical and mathematical solutions to business problems. Frames problem, develops roadmap and communicates intended approach and quantitative methods to develop solution.
• May serve as a team leader within a work group or on cross-functional teams. Mentors and train junior team members.
• Improve products and services or solve problems using best practice and knowledge of internal and or external business issues.
• 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, LTV, propensity models). Build customer centric models and optimization tools to support large scale projects that utilize online & offline data, structured & unstructured data, set top box data and media/behavioral/attitudinal data.
• Develop and deploy 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.
• Consistent exercise of independent judgment and discretion in matters of significance.

Minimum Requirements:

• MS degree in a quantitative discipline (including, but not limited to, statistics, operations research, bioinformatics, economics, political science, sociology, demography, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering).
• 2 years of relevant work experience (e.g., as an engineer, data scientist, researcher etc).
• Keen eye for detail and thoughtful investigation of data before relying upon it.
• Ability to think and execute at multiple altitudes: from strategy and vision to execution.
• Experience with writing code in one commonly used data science language (e.g. Python or R).
• Experience conveying conclusions and insights using visualizations.
• Strong grasp of the scientific method and self-direction.
• Demonstrated effective written and verbal communication skills.

Preferred qualifications:

• PhD degree in a quantitative discipline as listed in Minimum Qualifications.
• 3 years of relevant work experience (e.g., as an engineer, data scientist, researcher, post-doc etc).
• Deep expertise and experience with statistical methods (e.g. generalized linear models, multilevel models, sampling methods, causal inference, experimentation).
• Applied experience with machine learning on large datasets (Spark).
• Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
• Experience translating analysis results into business recommendations.
• Proven skills in selecting the right statistical tools given a data analysis problem.

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.

Education

Master's Degree

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.