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Remote nationwide role, popular senior data scientist title, mid-level experience, and Bengaluru metro increase competition.
Skills in ML/AI and production deployment are transferable across industries, so background sensitivity is moderate.
Explicit 5+ years, production ML experience, and mandatory Python/R/SQL and cloud skills raise screening strictness.
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Design and implement advanced machine learning and analytical solutions for complex business problems with measurable impact.
Lead end-to-end execution of data-driven projects from analysis through deployment, including developing data pipelines and ML models.
Collaborate with data engineers, AI/ML engineers, and stakeholders to create scalable analytics solutions and provide technical guidance to other data scientists.
Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field (or equivalent experience).
5+ years professional experience in data science, advanced analytics, and machine learning.
Proven experience delivering AI/ML solutions in production environments.
Strong skills in Python, R, SQL, cloud-based data platforms, and data visualization tools (e.g., QuickSight, Tableau, Power BI).
Experienced practitioner with demonstrated capability designing and deploying complex data mining architectures and AI/ML models at scale.
Familiarity with emerging technologies including Generative AI and advanced analytics techniques relevant to financial or multi-domain business problems.
Able to communicate complex insights effectively to senior stakeholders and lead technically within cross-functional teams.