Data Scientist

SysMind • Artificial Intelligence • Cybersecurity • Python • SQL • 2 months ago
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Salary
≈ $22k – $44k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp

First seen by Alion on Aug 31, 2026.

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SysMind

SysMind is an IT services and workforce solutions firm headquartered in Princeton, New Jersey, providing application development, quality assurance, data and analytics, cloud, cybersecurity, SAP and AI services alongside permanent placement, executive search, contract staffing and offshore delivery. Founded in 1999 and led by chief executive Kavita Gorty, it is a women-owned company with US offices in Dallas, San Francisco and Raleigh and delivery teams in India serving banking, insurance, healthcare and manufacturing clients. Its India openings, mostly for client projects, cover data engineers, full stack and Java developers, test automation, DevOps, network and database specialists.
sysmind.com • HQ: Princeton, United States • Cybersecurity • Artificial Intelligence • Professional Services • 5000+ employees • Est. 1999

Data Scientist - GenBI / Text2SQL / Databricks

Experience : 8+ Years

Location : Bangalore / Hyderabad

Domain : Insurance

Key Responsibilities :

- Develop and implement Data Science, Analytics, and AI-driven solutions.

- Build GenBI and Text-to-SQL solutions for business intelligence and analytics.

- Work extensively with Azure Databricks, Spark SQL, Notebooks, and Unity Catalog.

- Develop and maintain scalable data pipelines using Bronze, Silver, and Gold layer architecture.

- Translate complex and ambiguous business requirements into structured metadata and business rules.

- Collaborate with business and technical teams to deliver AI/BI solutions.

Must-Have Skills :

- Data Science, Python, SQL, Azure Databricks, Spark SQL, Unity Catalog, GenBI, Text-to-SQL, and Data Pipelines.

Good to Have :

- AI/BI Genie Agents, Semantic Layer Development, Insurance Domain, and Analytics Engineering.

Key Competencies :

- Strong analytical and problem-solving skills, AI/BI expertise, data engineering knowledge, and excellent business communication.

Skills

Data Science, Azure Databricks, Generative AI, Data Engineering, SQL, Python

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