Engineer 3, Cyber Data Scientist
Company: Comcast Corporation
Posted on: February 6, 2024
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
SummaryIn the role of Cyber Data Scientist, you will be an
important contributor within Comcast Technology Solution's exciting
new cyber security business unit, which sells SaaS and subscription
security solutions to the large enterprise and federal government.
Reporting to the Vice President of Engineering Cyber, you will be
primarily responsible for developing analytics and data
exploitation solutions for DataBee, a new SaaS security, risk and
compliance platform that was developed internally and used inside
Comcast's SOC, and is now being made available for use by the
Fortune 500 CISO customer base. You will work in a high pace,
collaborative engineering environment to deliver value for DataBee
customers. In addition to leading and mentoring a team of software
engineers, you will also be a senior individual contributor. You
will be influential in creating a startup culture for the DataBee
business unit, enabling and empowering your teammates to work in an
agile fashion.Job DescriptionCore Responsibilities
- Interacts with product and field engineering teams to identify
questions and issues for data analysis and experiments.
- Develops software programs, algorithms and automated processes
to cleanse, integrate and evaluate large cyber datasets from
multiple disparate sources in a production environment.
- 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
- Manages development and deployment of predictive models based
on historical data.
- Researches, educates and applies knowledge of existing and
emerging data science principles, theories, and techniques.
- Develops customer centric models and optimization tools to
support large scale projects that utilize streaming and at-rest
processing over structured and unstructured data.
- Understands platform usage and assist with production
deployments and customer issue triage.
- Develops security features as part of the development and
embrace the DevSecOps culture.
- Uses and improves on tools to identify and mitigate production
- Creates self-contained microservices or application programming
- Use content management systems as applicable and global design
patterns and defined coding standards and practices established by
- Other duties and responsibilities as assigned.
- Additional Required Skills and Experience:
- Demonstrated expertise in Python.
- Demonstrated expertise developing machine learning-based
- Demonstrated expertise in developing, implementing and
deploying microservices containing complex analytical logic.
- Demonstrated expertise in working with cybersecurity data sets
and applying machine learning techniques to aid in data
engineering, security compliance and/or threat hunting.
- Experience working in Agile Scrum development
- Experience working with GitHub and Jira or similar
- Experience using Python unit test frameworks.
- Experience using Docker.
- Experience developing on a SaaS product.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. Comcast will consider for employment
qualified applicants with criminal histories in a manner consistent
with the requirements of applicable law, including the Los Angeles
Fair Chance Initiative for Hiring Ordinance and the San Francisco
Fair Chance Ordinance.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 YearsSalary:National Pay Range: $74,721.45
USD-$175,128.39 USDComcast intends to offer the selected candidate
base pay within this range, dependent on job-related,
non-discriminatory factors such as experience. The application
window is 30 days from the date job is posted, unless the number of
applicants requires it to close sooner or later.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 on our careers site for more details.
Keywords: Comcast Corporation, Erie , Engineer 3, Cyber Data Scientist, Engineering , Erie, Pennsylvania
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