Business Intelligence - Data Scientist
ADP
Hyderabad, Telangana
5d ago

We are seeking motivated data scientists to help model and build descriptive, prescriptive and predictive models in the big data analytics space to enable effective decision making Key Responsibilities Work with data from multiple internal / external data sources and APIs including Hadoop clusters Work with structured as well as unstructured data Data wrangling for cleanup, handle missing data, standardize / scale data Explore and analyze data using visualizations to uncover hidden patterns Use ML techniques including linear / logistic regression, decision trees, classification, clustering, ensembles, text mining, social networking analysis to build models Use these models to identify patterns and rules which help unearth business insights and aid in decision making Requirement Excellent knowledge and hands on working experience with ML techniques and tools Strong understanding of basic statistics concepts including population, confidence intervals, correlation, significance, probability, distributions, hypothesis testing, etc Strongly grounded concepts and application knowledge of ML techniques including linear / logistic regression, decision trees, classification, clustering, ensembles, text mining, social networking analysis to build models Strong and Hands-on experience with at least one of R / Python languages and familiarity with machine learning tools / frameworks like h2o / tensorflow etc.

  • Strong with at least one data visualization tool e.g., Tableau, plotly, R-ggplot2, matplotlib, etc Experience in large scale data analysis in Big Data ecosystem including Pig / Hive / Spark is a plus Ability to work independently and collaboratively within a team Flexible, adaptive, quick learner
  • We are seeking motivated data scientists to help model and build descriptive, prescriptive and predictive models in the big data analytics space to enable effective decision making Key Responsibilities Work with data from multiple internal / external data sources and APIs including Hadoop clusters Work with structured as well as unstructured data Data wrangling for cleanup, handle missing data, standardize / scale data Explore and analyze data using visualizations to uncover hidden patterns Use ML techniques including linear / logistic regression, decision trees, classification, clustering, ensembles, text mining, social networking analysis to build models Use these models to identify patterns and rules which help unearth business insights and aid in decision making Requirement Excellent knowledge and hands on working experience with ML techniques and tools Strong understanding of basic statistics concepts including population, confidence intervals, correlation, significance, probability, distributions, hypothesis testing, etc Strongly grounded concepts and application knowledge of ML techniques including linear / logistic regression, decision trees, classification, clustering, ensembles, text mining, social networking analysis to build models Strong and Hands-on experience with at least one of R / Python languages and familiarity with machine learning tools / frameworks like h2o / tensorflow etc.

  • Strong with at least one data visualization tool e.g., Tableau, plotly, R-ggplot2, matplotlib, etc Experience in large scale data analysis in Big Data ecosystem including Pig / Hive / Spark is a plus Ability to work independently and collaboratively within a team Flexible, adaptive, quick learner
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