What You’ll Do
Develop and maintain high-performance, high-availability production level algorithms based on statistical modeling procedures and machine learning models to analyze the quality and performance of data and data pipelines
Develop algorithms to analyze multiple large structured & unstructured datasets to extract insights and relationships within and between them
Develop algorithms for outlier detection, missing value imputation etc across various types of structured & unstructured datasets
Liaise with stakeholders to analyze business problems, clarify requirements and define the scope of the resolution needed
What We’re Looking For
5+ years related experience
Bachelor’s degree in Engineering, Computer Science, Math, Statistics, Physics or a related field
Strong understanding of statistics, mathematics
Strong computer science fundamentals (data structures and algorithms, system design etc)
Ability to work collaboratively with team members across functional roles with strong communication and leadership skills
Familiarity with machine learning frameworks and libraries (tensorflow, scikit-learn, keras etc)
Ability to work in Python, Java, Scala or C++
Knowledge of distributed computing systems/frameworks (apache spark etc)
Passion for solving high impact problems with data driven tools
Experience working with geospatial data and/or Data Engineering
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