Data Science Professional

3 weeks ago

Bengaluru, Karnataka, India Recro Full time

**Job Overview:**

At Recro, we are seeking an exceptional Data Science Professional to join our team. As a key member of our Single Customer Identifier (SCI) solution enhancement initiative, you will play a critical role in driving data quality and accuracy using advanced analysis techniques.

This is an exciting opportunity for a skilled data scientist to leverage their expertise in data exploration, analysis, and validation to optimize data matching logic. If you have a strong background in Python, SQL, and Jupyter Notebooks, and are passionate about improving data quality, this could be the ideal position for you.

Key Responsibilities:

  • Perform continuous data exploration to identify patterns, anomalies, and potential improvements in data matching logic for SCI.
  • Utilize advanced analysis techniques, including fuzzy logic and machine learning models, to enhance the accuracy and efficiency of data matching algorithms.
  • Work with large datasets from Excel, databases, and other data sources to support data analysis and validation activities.
  • Analyze data to provide actionable insights that help improve data quality and match accuracy in the SCI solution.
  • Regularly review and assess data quality metrics and provide recommendations for enhancements to the data matching system.

Required Skills and Qualifications:

  • Strong proficiency in Python for data analysis, scripting, and automation.
  • Experience with libraries such as Pandas, NumPy, and Scikit-learn is essential.
  • Advanced knowledge of SQL for querying and manipulating large datasets in relational databases.
  • Hands-on experience in using Jupyter Notebooks to demonstrate analysis, visualize data, and share insights interactively with stakeholders.

We estimate the salary for this role to be around **$120,000** per year, based on national averages and industry standards. Please note that this is an estimated figure and may vary depending on various factors, including location and qualifications.

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