Sr. Data Scientist-3281

Comcast-posted 2 months ago
Full-time
Remote • Philadelphia, PA
Telecommunications
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Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

  • Develop and execute statistical and mathematical solutions to business problems using statistical techniques including Random Forest, Regressions, Clustering, and inferencing.
  • Write code in Python, Pyspark, and SQL to pull data and develop models.
  • Use AI Machine Learning techniques including XGB, Transformer, and LSTM to make quantitative predictions.
  • Perform statistical analysis on customer experience data.
  • Program in cloud environments, including using AWS and Databricks.
  • Use Github, Jira, and Confluence for project management.
  • Frame problems, develop roadmaps, and communicate intended approaches and quantitative methods to develop solutions.
  • Improve products and services or solve problems using best practices and knowledge of internal and/or external business issues.
  • Use analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques.
  • Build customer-centric models and optimization tools to support large-scale projects that utilize online & offline data, structured & unstructured data.
  • Develop and deploy predictive models based on historical data that provide future predictions about employee behavior.
  • Construct forecasts, recommendations, and strategic/tactical plans based on applying data science techniques to business data.
  • Master's degree, or foreign equivalent, in Computer Science, any Engineering, or related technical field.
  • One (1) year of experience using statistics techniques including Random Forest, Regressions, Clustering, and inferencing.
  • Experience writing code in Python, Pyspark, and SQL to pull data and develop models.
  • Experience using AI Machine Learning techniques including XGB, Transformer, and LSTM.
  • Experience performing statistical analysis on customer experience data.
  • Experience programming in cloud environments, including using AWS.
  • Experience using Github, Jira, and Confluence.
  • Experience with data analysis, data mining, optimization tools, and machine learning techniques.
  • Knowledge of predictive models, LTV, and propensity models.
  • An array of options, expert guidance, and always-on tools that are personalized to meet the needs of your reality.
  • Support physically, financially, and emotionally through big milestones and everyday life.
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