Sr. Data Research Analyst II
Elsevier (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead complex data discovery, enrichment and curation initiatives, using AI/ML methods to improve data quality, coverage and scalability.
- Own delivery from scoping through execution and review; establish team policies, procedures and quality standards, and mentor junior colleagues.
- Work with product teams and customers to validate data needs, inform product improvements and identify domain-growth opportunities.
Minimum Requirements
- Work Experience Required: 7+ years of relevant experience.
- Education: MS degree or equivalent in a quantitative, information or research-related field.
- Working knowledge of AI/ML, entity extraction and classification; ability to prototype and improve data pipelines or enrichment models using large, complex datasets.
- Experience creating and maintaining taxonomies, controlled vocabularies or ontologies, and applying rigorous data QA standards.
Ideal Candidate Profile
- Combines data science capability with domain knowledge in areas such as research analytics, information science or knowledge management; academic publishing, research intelligence or bibliographic data experience is an advantage.
- Has senior-level ownership of complex projects, from ambiguous problem definition through structured, reliable delivery, and can improve processes and quality standards.
- Can translate data findings into product decisions and communicate data strategies to customers, product teams and other stakeholders; the role is intended to grow into more product- and customer-facing work.