Data Scientist Position

7 days ago

Chennai, Tamil Nadu, India beBeeData Full time US$ 90,000 - US$ 1,20,000
Job Title: Data Analyst

We are seeking a skilled and experienced data analyst to join our team. As a key member of the organization, you will be responsible for analyzing large datasets, identifying trends and insights, and communicating your findings to stakeholders.

Key Responsibilities:
  • Analyze large datasets to identify opportunities for improvement in data matching logic.
  • Work with diverse datasets sourced from Excel files, databases, and other systems.
Data Quality Improvement:
  • Analyze data quality issues within the system and propose actionable solutions.
  • Implement improvements to enhance overall data integrity and reliability.
Weekly Playback and Collaboration:
  • Participate in weekly playback sessions to present data insights and analytical findings.
  • Incorporate feedback from stakeholders and prioritize follow-up explorations and analyses accordingly.
Project Scaling and Support:
  • Support scaling efforts by assisting with data acquisition, cleansing, and validation for new markets.
  • Handle pre-batch ingestion preparations and perform post-batch ingestion analysis and validation of records.
Data Analysis and Validation:
  • Conduct thorough analysis and validation of records post-batch ingestion to identify patterns and improve data quality.
  • Proactively uncover insights and recommend or implement corrective actions.
Stakeholder Collaboration:
  • Coordinate with business stakeholders to facilitate manual validation of flagged records.
  • Effectively communicate findings, insights, and recommendations to both technical and non-technical audiences.
Required Skills and Qualifications:
  • Minimum 5 years of experience as a data scientist.
  • Strong proficiency in Python and SQL.
  • Extensive experience using Jupyter Notebook for data analysis and visualization.
  • Working knowledge of data matching techniques, especially fuzzy logic.
  • Experience handling large datasets from multiple sources, including Excel and relational databases.
  • Solid understanding of data quality frameworks and best practices.
Benefits:

The ideal candidate will have a strong passion for data analysis and interpretation, excellent communication skills, and the ability to work effectively in a team environment.

This is an exciting opportunity to join a dynamic team and contribute to the growth and success of the organization.

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