Data Scientist 2 - Virtual

Comcast

2d • $66,836 - $156,648 • Remote

About The Position

The Data Scientist 2 is an independent contributor who develops and applies statistical, machine learning, and optimization techniques to solve well-defined business problems. This role partners with cross-functional teams to deliver data-driven insights and scalable analytical solutions while continuing to build technical expertise.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative field.
• 1–3 years of relevant experience.
• Strong programming skills in Python and SQL; Spark/PySpark experience preferred.
• Working knowledge of machine learning techniques (regression, classification, clustering, forecasting, tree-based models, deep learning) and statistical analysis.
• Strong analytical, problem-solving, and communication skills.

Nice To Haves

• Exposure to cloud platforms, MLOps, or Generative AI concepts is a plus.

Responsibilities

• Build and validate machine learning, statistical, and optimization models for business use cases.
• Analyze large and complex datasets to identify actionable insights and recommend solutions.
• Develop automated analytical workflows, reports, dashboards, and reusable data pipelines.
• Assist Senior Data Scientists to evaluate model performance and document methodologies.
• Present technical findings and business impact to technical and non-technical stakeholders.
• Collaborate with Product, Engineering, and Analytics teams to translate business requirements into data science solutions.
• Contribute to code reviews and knowledge sharing.
• Collaborating with cross-functional teams to define data analysis problems and design experiments
• Engineering software solutions and algorithms for data cleansing, integration, and analysis
• Utilizing advanced statistical methods and machine learning to derive actionable insights from big data
• Implementing statistical and mathematical models to address complex business challenges
• Constructing data mining frameworks and conducting trend analysis for strategic decision-making
• Analyzing complex datasets to identify historical patterns in customer and product behaviors
• Building predictive models to forecast customer actions and guide business planning
• Synthesizing findings from data science research to inform and optimize business processes
• Presenting data-driven insights and recommendations through clear, comprehensive deliverables
• 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) as necessary.
• Other duties and responsibilities as assigned.
• 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.
• Support a culture of inclusion in how you work and lead.
• Do what's right for each other, our customers, investors and our communities.

Benefits

• Total Rewards that Comcast provides to compensate and recognize employees for their work.
• Commission under the terms of an applicable plan (for most sales positions).
• Bonus (for most non-sales positions).
• Best-in-class Benefits to eligible employees.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level