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Sr.Data Scientist

Hyderabad , India

Ref#: 19033212

Date published: 7-Nov-2019

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JOB RESPONSIBILITIES:

  • Work on complex, cross-functional research or analytical projects leveraging advanced computational algorithms
  • Develop custom algorithms for solving complex real estate business problems across a wealth of structured and unstructured data across multiple data sources
  • Use relevant knowledge of Computer Science fundamentals, Distributed Computing and Machine Learning to help build scalable analytical solutions
  • Develop data structures and pipelines to organize, collect, cleanse and standardize data that helps generate insights feeding global corporate strategy
  • Define data requirements and gather and validate information, applying judgment and statistical tests
  • Work closely with Data Warehouse Architects and Software Developers to empower our lines of businesses with robust business intelligence

DESIRED QUALIFICATIONS:

    • Intellectual curiosity in connecting the dots across global CRE data for game-changing insights
    • Masters or PhD in computer science or related degree from top-tier schools
    • Codes in Python or R (mostly in the former). Wonderful to have worked with Open Source Stack
    • Helps identify and explore application of Machine Learning to Business needs
    • Builds robust Machine Learning models eventually bringing them to production  
    • Proficient in Data Science algorithms spanning Supervised/ Unsupervised/ Probabilistic Learning; and knowledge of Neural Networks
    • 4-6 years of engagement in Statistical Analyses, Data Engineering and Visualization, and Software Development
    • Munges (un)structured text using Natural Language Processing frameworks
    • Knowledge of Data Modeling, Relational Database Tools, Data Warehousing, Database Architecture
    • Enjoys working on complex and exciting problems, with high-velocity and multi-dimensional information across multiple sources
    • Excellent interpersonal, written, and verbal communication skills
    • Demonstrated leadership and self-direction, and open-mindedness in both teaching others and learning new techniques