Data Scientists SC3- Data Cleansing & Quality DQ

Responsibilities

• Utilize Python Notebooks, SSIS, Fabric Builds, Power BI, and other data engineering tools for data cleansing and quality tasks.
• Implement data cleaning processes to ensure accuracy and completeness of datasets.
• Collaborate with cross‑functional teams to identify data quality issues and recommend solutions.
• Develop and maintain data quality metrics and reports to track progress.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.
• Proven experience with Python Notebooks, SSIS, Fabric Builds, Power BI, and equivalent data engineering tools.
• Strong understanding of data quality principles and best practices.
• Excellent analytical and problem‑solving skills.
• Ability to work independently and collaboratively in a team environment.