Data Scientist 4

Comcast Comcast · Media · Chennai, India

Data Scientist 4 responsible for extracting knowledge and insights from high volume, high dimensional data using advanced statistical analysis, algorithms, predictive modeling, experimentation, and pattern recognition to create solutions for enhanced business performance. Designs and develops systems to analyze diverse big data sources for actionable insights and solutions for client services and product enhancement. The team consists of experts in AI, deep learning, data-structures, algorithms, distributed systems, and system performance analysis, building systems used across various company data science services.

What you'd actually do

  1. Proven 5+ years of commercial experience in creating, testing, deploying, monitoring and maintaining machine learning pipelines
  2. Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling, hyperparameter tuning, experiment tracking and performance monitoring.
  3. Expertise in correlation analysis, classification / clustering techniques, anomaly detection and time series forecasting using either traditional or deep learning ML approaches
  4. Strong Python background with the ability to write clean, modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability.
  5. Experience using SQL data exploration, feature extraction, and integration with analytical workflows.

Skills

Required

  • Python
  • SQL
  • Machine Learning
  • Data Preparation
  • Modeling
  • Experiment Tracking
  • Performance Monitoring
  • Correlation Analysis
  • Classification
  • Clustering
  • Anomaly Detection
  • Time Series Forecasting
  • Deep Learning
  • Abstraction
  • Exception Handling
  • Testing

Nice to have

  • PhD
  • Networking/Telecommunications knowledge
  • Data Visualization tools (Dash, Streamlit, Superset)

What the JD emphasized

  • 5+ years of commercial experience
  • machine learning pipelines
  • data manipulation and ML frameworks
  • EDA, feature extraction and development, modelling, hyperparameter tuning, experiment tracking and performance monitoring
  • correlation analysis, classification / clustering techniques, anomaly detection and time series forecasting
  • traditional or deep learning ML approaches
  • Strong Python background
  • clean, modular, and maintainable code
  • abstraction, exceptions handling, and testing
  • long-term maintainability
  • SQL data exploration, feature extraction, and integration with analytical workflows

Other signals

  • extracting knowledge and insights from high volume, high dimensional data
  • investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques
  • advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition
  • create solutions that enable enhanced business performance
  • Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement
  • experts in artificial intelligence, deep learning, data-structures, algorithms, distributed systems, and system performance and analysis
  • The systems that the team builds get used across the multitude of Company data science-based services and deployments