





Tier-1 brand, metro location, common Senior Data Scientist title, and broad technical skillset create high competition.
Requires specific big-data platform and MDM experience, moderately limiting easy cross-industry transferability.
Explicit 6+ years requirement plus specific Hadoop/Python/Spark and MDM experience increases shortlisting strictness.
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Lead development of end-to-end data lifecycle solutions blending multiple data sources (Salesforce, SQL Server, AWS, Databricks, Financial data) to create unified, trusted, and actionable insights.
Develop and execute comprehensive data analytics and infrastructure strategy to drive business insights, portfolio optimization, and strategic decisions.
Manage analytics projects from planning through delivery, collaborating with senior leadership and non-technical stakeholders to align solutions with business objectives.
6+ years experience in Data Science, Data Analytics, or Business Insights using tools like Hadoop (Hive, Impala), Python/Spark, and SQL on big data platforms.
At least 1 year experience in Master Data Management solutions (MDM) and preferred knowledge of platforms like Reltio.
Bachelor’s or Master’s degree in Computer Science, IT, Engineering, Mathematics, or Statistics; MBA/MS also preferred.
Strong communication skills for stakeholder management; experience with cloud data platforms (Azure/AWS) and business intelligence tools (Tableau, PowerBI) is a plus but not mandatory.
Experienced in building scalable, cloud-based data products integrating multiple enterprise data sources with strong design documentation skills (data models, system architecture).
Proven capability to translate technical requirements between business, analytical, and technical teams, ensuring analytical solutions meet diverse stakeholder needs.
Comfortable working in dynamic, deadline-driven environments managing multiple priorities independently and collaboratively with cross-functional teams.