Zorba AI | Data Scientist_6+yrs | pune

3 weeks ago

pune, India Zorba AI Full time

Company Description

Zorba AI is a Mumbai-based analytics provider focusing on data-driven decision-making. They specialize in executing analytics with client teams, delivering strategic consulting solutions, and offering services like data visualization, predictive modeling, and analytics-based reporting. Zorba aims to create immediate value for businesses by leveraging big data and operationalizing analytics for effective decision-making.


Role Description

This is a full-time on-site role for a Data Scientist with 6+ years of experience at Zorba AI in Mumbai. Zorba is looking for experienced Data Scientist with 5+ years of experience in Python, SQL and working knowledge in using Jupyter notebook to demonstrate data analysis.

Responsibilities


The Data Scientist should be capable to provide continuous data exploration and insights to help the team identify enhancements to data matching logic (including Fuzzy logic) and improve overall data quality in SCI solution. Use large datasets from excel and databased to perform above discussed various analysis. Responsible to perform various analysis to improve Data quality.


Qualifications


  • Data Science and Data Analytics skills
  • Statistics and Data Analysis skills
  • Data Visualization expertise
  • Experience in creating predictive modeling algorithms
  • Knowledge of data management and transformation
  • Strong problem-solving and analytical skills
  • Excellent communication and teamwork abilities
  • Participate in weekly playback using Jupyter notebooks to demon the insights.
  • Weekly incorporation of new explorations/analysis as prioritized by the working group providing feedback through the playback sessions.
  • Should participate in project scaling and support outcomes. Data acquisition, cleansing and validation as part of pre-requisites to batch ingestion of new markets in scope for SCI.
  • Data Analysis and validation of SCI records post batch ingestion. Proactively find insights and work to improve data quality.
  • Coordinate with business stakeholders in manually validation of records segregated for manual intervention.


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