Sr. Applied AI Engineer

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

Job Description Summary
ABOUT DATABEE
You will be an innovator within DataBee. (https://www.databee.ai/about) This division specializes in offering Software-as-a-Service (SaaS) and subscription-based security solutions to large enterprises and the federal government. For the first time ever, customers are now able to purchase some of the best of Comcast’s own in-house security technologies. These solutions are proven-at-scale to defend critical infrastructure and effectively reduce cost. The Cybersecurity Suite efficiently improves security and compliance while keeping costs in check.

Job Description Summary

As a Senior Applied AI Engineer, you will be a core technical leader and individual contributor within DataBee’s exciting new cybersecurity business unit, which sells SaaS and subscription security solutions to large enterprises and the federal government. Working closely with engineering leadership, you will be primarily responsible for designing, developing, and deploying advanced analytics and data exploitation solutions for DataBee—a new SaaS security, risk, and compliance platform originally developed internally and used inside Comcast’s SOC, now made available to the Fortune 500 CISO customer base.

You will operate in a fast-paced, highly collaborative engineering environment to deliver exceptional value to DataBee customers. In this senior individual contributor role, you will extract knowledge and insights from high-volume, high-dimensional data to solve sophisticated business problems through advanced data preparation, modeling, analysis, and visualization techniques. You will utilize sophisticated statistical analysis, algorithms, predictive modeling, experimentation, and pattern recognition to consolidate and analyze unstructured, diverse big data sources, generating actionable insights and automated security solutions.

While this is an individual contributor role, you will serve as a technical anchor and mentor within a globally distributed engineering team spanning the US and India, providing subject matter expertise, technical direction, and architectural guidance. You will help drive department efficiencies, champion industry best practices, and contribute to shaping a high-energy startup culture within the DataBee business unit, empowering your peers to operate with agility and innovation.

Job Description

Core Responsibilities

• Interacts with product and field engineering 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 practical insights using sophisticated statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics

• 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.

• Leads the production of analysis of historical patterns in customer behaviors and product performance from large, noisy, and complex datasets. Leads 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.

• Crafts and is responsible for deliverables and presentations that report methodology and results of analysis.

• Owns the