Consultant- Data Scientist
Grant Thornton
1d ago

Job Description :

Solution Area : Data Scientist

Location of Work : Bangalore, India

Qualification : MBA (preferred), BTech / BE, MTech, MCA

Skills Required :

  • Deep understanding of Machine Learning life-cycle Business understanding, Data understanding, Data preparation, modeling, evaluation, and monitoring.
  • Hands on experience to deploy machine learnings models on GCP / AWS
  • Should have comprehensive experience in data preparation techniques for both Structured and Unstructured data.
  • Analyze large amounts of information to discover trends and patterns.
  • Experience using statistical computer languages (Python preferred) to manipulate data and draw insights from large data sets.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, time series analysis, etc.
  • and their real-world advantages / drawbacks.

  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.
  • and experience with applications.

  • Build predictive models and machine-learning algorithms, combine models through ensemble modelling and present information using data visualization techniques.
  • Hands on experience on any relational databases such as SQL, Sybase, Oracle or other document databases such as MongoDB etc.
  • Value added skills :

  • Knowledge on any of the programming languages such as R, C, C++, Java, Full-Stack technologies.
  • Knowledge in functional areas such as Finance & Accounting, HR, IT, Supply Chain, Tax, Procurement, Master Data Management.
  • Hands-on experience with Chatbots. Knowledge on Google DialogFlow, MS Luis, other enterprise Chatbot frameworks like RASA.
  • Knowledge on Big data technologies like Hadoop, HDFS, Hive, Pig, Hbase.
  • Knowledge on importing and exporting data from different systems using HDFS and SQOOP.
  • Other Requirements :

  • Good problem-solving skills with a structured approach
  • Ability to navigate ambiguity
  • Strong documentation and presentation skills
  • Good communication skills
  • Good client management skills
  • Should be self-motivated
  • Should be fine to travel on project requirements
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