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Mid-level popular data scientist role with broad skillset increases candidate density.
Core data skills are transferable, but government statistics and EA experience favor development-sector backgrounds.
Requires minimum 5 years plus specific tools and data management experience, making filters strict.
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Lead and supervise data management workflows, including data pipelines, platforms, and applications.
Develop and maintain data warehouses and data repositories supporting data analytics projects.
Coordinate with technology vendors to review technical documents for quality control and requirements mapping.
Minimum 5 years of experience in Data Analytics on similar projects.
Degree: MSc/MTech/BE/BTech in Computer Science or IT, MCA with specialization in Data Analytics/AI, or MSc in Data Science.
Strong experience with data science tools such as R, Python, Power BI, SAS Viya; knowledge of SAS/SPSS is a plus.
Experience in data warehousing, enterprise architecture knowledge (TOGAF Certification is a plus), and data privacy management.
Experienced in statistical strengthening projects for central/state governments or international agencies is preferred.
Capable of handling complex data curation, acquisition, cleaning, and analysis across varied data domains including economic and demographic statistics.
Skilled in supervising technical vendor coordination and ensuring compliance with data management and privacy requirements.