Comcast Jobs Near Me – Principal Data Scientist

Job Description:

Effectv’s Data Science is growing and hiring a Principal Data Scientist. As a technical leader in the Effectv’s Data Science organization, you will be responsible for researching and applying complex, cutting edge, and scalable algorithms to deliver valuable data and insights to our internal/ external stakeholders. You’ll work with a team of talented data scientists, Big Data engineers, and software developers as you play a key role in developing and delivering the next generation AI/ML solutions to the business. In collaboration with colleagues and leaders, the Principal Data Scientist is responsible for determining long-term vision and providing guidance and analytical support. Your people’s first attitude will empower and motivate data scientists to push their abilities to the limit and deliver extraordinary data science products to our business customers.

Job Responsibilities:

• Consistent exercise of independent judgment and discretion in matters of significance.
• Educate other departments on data science methodologies, concepts and algorithmic advancements.
• Define enterprise data strategy and data monetization processes through analysis of rich streams of unstructured data to find correlations between events and see opportunities to optimize defined desired outcomes.
• 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.
• Develop data mining, machine learning, statistical and graph-based algorithms designed to analyze massive data sets for business insights and partner with the data engineering team to ensure accurate implementation and usage of algorithms.
• Lead a small group of less experienced team members on analytical projects or on cross-functional teams. Frequently serves as team lead on multiple projects, mentor and train junior team members.
• Lead complex interdepartmental data science programs that incorporate solutions across one or more technologies.
• Review and evaluate data scientist programs enterprise level to determine appropriate use of algorithm-driven products and solutions.
• Lead development and implementation of scalable big-data driven solutions for accurate targeting of users with relevant business treatments and efficient algorithmic inventory. Manage challenges associated with investigating and understanding large datasets and building models based on Big Data solutions.

Qualification & Experience:

• Advanced relationship management and interpersonal skills, including partnering and advising senior leaders and external customers.
• Expert /Specialization in either of these areas: Supply Chain optimization (i.e. problems dealing with Optimization of Scheduling, Demand Forecasting; Experimental design; Recommendation engines and personalization systems; Price optimization; Multi-touch Attribution
• Experience in using data science methodologies to solve complex business problems (e.g. statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, demand modeling, etc.), as well as key assumptions and parameters impacting performance.
• A team leader, confident in your business acuity, analytics expertise and communication / coordination skills to push through ambiguity and up-skill those around you.
• Extensive knowledge and practical experience in several of the following areas: machine learning, statistical modeling, NLP, deep learning, demand forecasting (statistical or algorithmic).
• Strong intuition for business, passion for driving strategy, making big changes, and influencing others. You have a history of having measurable impact in close collaboration with operational colleagues.
• Bachelor’s degree required. Masters/PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent) preferred.

Job Details:

Company: Comcast

Vacancy Type:  Full Time

Job Location: New York, NY, US

Application Deadline: N/A

Apply Here

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