Sr. Data Scientist-3281

Xfinity; Philadelphia (Philadelphia County); Remote; USD 90,000 - 120,000; Full time

Job summary

A leading media and technology company seeks a Data Scientist to analyze customer data and develop predictive models. The role involves programming in Python, SQL, and Pyspark, utilizing machine learning techniques, and working with cloud environments. Candidates should have a Master's degree and relevant experience in statistical methods. This position offers remote work opportunities.

Qualifications

• 1 year of experience using various statistical techniques.
• Experience writing code in Python, Pyspark, and SQL.
• Familiarity with cloud programming, specifically AWS.

Responsibilities

• Develop and execute statistical and mathematical solutions.
• Perform statistical analysis on customer experience data.
• Build and develop predictive models using historical data.

Skills

Performing Statistical Analysis

PySpark

Random Forest

Education

Master’s degree in Computer Science or related field

Tools

Python

Pyspark

SQL

AWS

Github

Jira

Confluence

Job description

Overview

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.

Job Summary

Develop and execute statistical and mathematical solutions to business problems by using statistics techniques including Random Forest, Regressions, Clustering, and inferencing to perform statistical analysis and inference on datasets; 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; frame problems, develop roadmaps, and communicate intended approaches and quantitative methods to develop solutions; improve products and services or solving problems using best practice 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 such as data analysis, data mining, optimization tools, and machine learning techniques and statistics (e.g., predictive models, LTV, propensity models); build customer-centric models and optimization tools to support large-scale projects that utilize online & offline data, structured & unstructured data, set-top box data, and media/behavioral/attitudinal data; develop and deploy predictive models based on historical data that provide future predictions about employee behavior; and construct forecasts, recommendations, strategic/tactical plans based on applying data science techniques to business data. Position is eligible for 100% remote work.

Requirements

Master’s degree, or foreign equivalent, in Computer Science, any Engineering, or related technical field, and one (1) year of experience using statistics techniques including Random Forest, Regressions, Clustering, and inferencing to perform statistical analysis and inference on datasets; writing code in Python, Pyspark, and SQL to pull data and develop models; using AI Machine Learning techniques including XGB, Transformer, and LSTM, to make quantitative predictions; performing statistical analysis on customer experience data; programming in cloud environments, including using AWS; and using Github, Jira and Confluence. 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.

Skills

• Performing Statistical Analysis
• PySpark
• Random Forest

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 benefits summary on our careers site for more details.

Comcast is 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.