Data Scientist 2 - Remote, United States - Comcast Advertising

Description

Effectv, the advertising sales division of Comcast Cable, helps local, regional and national advertisers use the best of digital with the power of TV to grow their business. It provides multi-screen marketing solutions to make advertising campaigns more effective and easier to execute. Headquartered in New York with offices throughout the country, Effectv has a presence in 66 markets with nearly 35 million owned and represented subscribers. We're dedicated to helping our clients meet their business goals by connecting them with their customers through multiscreen television advertising. Working with companies from local startups to nationwide corporations, we provide support to help each business reach its target customers. By applying data to television advertising in new ways, we're able to bring our clients the best of digital media, coupled with the power of TV. To learn more, check out
Job Summary
The Data Science team is part of our Data Science, Engineering and Analytics team within Effectv Technology, which is a diverse collection of professionals who work in a variety of organizational roles ranging from software engineering teams whose software integrates with analytics services, network architects and engineers, to service delivery engineers who provide support for our product, testers and operational stakeholders with all manner of information needs, and executives who rely on data for decision making. As a Data Scientist, you will be responsible for working cross-functionally to collect data and assist with developing models to determine trends utilizing a variety of data sources. Importing, cleaning, transforming, or manipulating data with the purpose of understanding and making conclusions from the data. The desired candidate will work with a team of talented data scientists, Big Data engineers, and software developers and play a key role in developing and delivering the next generation AI/ML solutions to the business. In collaboration with colleagues and leaders, the candidate will support decision-making by fostering a data-driven culture that allows uncertainty to be mitigated by delivering minimal viable solutions.
Job Description
Core Responsibilities

• Analyze large amounts of data, extracting actionable insights using advanced techniques in data analysis, data mining, optimization, machine learning and statistics.
• Build customer-centric models and optimization tools to support large scale projects that utilize online and offline data, structured and unstructured data, and media/behavioral/attitudinal data (e.g., predictive models, LTV, propensity models, recommender systems.).
• Construct forecasts and develop recommendations in support of strategic/tactical plans, applying data science techniques to business data.
• Create deliverables and presentations which effectively communicate and contextualize methodology, results of analysis, and business impact for technical and non-technical audiences.
• Collaborate with a variety of teams within Effectv Technology (Engineering, Analytics, DataOps, MLOps), as well as stakeholder teams throughout Comcast Advertising.
• Produce visualizations and reporting to support all phases of the data science project lifecycle.
• 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) and overtime as necessary.
• Other duties and responsibilities as assigned.

Skillset/Requirements

• Bachelor's degree required, Masters degree in a quantitative field preferred (Mathematics, Statistics, Computer Science, Data Science, Applied Science, etc).
• Strong problem-solving skills and ability to work and troubleshoot independently.
• Proficiency in at least one language programming (Python, R, Scala) and SQL to manipulate data and draw insights from large datasets.
• Experience leveraging Spark (Spark SQL, Pyspark, or Scala) to query, manipulate, and pipeline data is a plus.
• Knowledge of and working experience with a variety of machine learning techniques and understanding of their real-world advantages and drawbacks. (Tree-based models, ensemble techniques, clustering, deep learning, time series).
• Knowledge of unstructured data and natural language processing techniques.
• Experience with deep learning and computer vision a plus.
• Experience working in common cloud platforms (AWS, Azure, GCP) and development environments (Databricks, Jupyter notebooks).
• Ability to effectively and concisely communicate complex data-related topics to, and manage the expectations of, business stakeholders and leadership.

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.
Education
Master'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
2-5 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.