Lead Data Analyst- R01552322
- Category
- AI & Data Engineering
- Required Skills
- See official employer job description
- Experience
- Lead
- Openings
- 1
- Apply by
- November 28, 2026
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- Numeric salary range: Not disclosed — confirm before proceeding
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Check my fit & prepare →Primary Skills
- Classification (Decision Trees, SVM), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Great Expectation, Evidently AI, Hypothesis Testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Probabilistic Graph Models, Python/PySpark, R/ R Studio, Regression (Linear, Logistic), SAS/SPSS, Statistical analysis and computing, Tools(KubeFlow, BentoML), T-Test, Z-Test
Job requirements
- Langraph, agentic ai
Responsibilities
• Lead end-to-end execution of projects and cross-functional deliverables for Lead Data Analyst- R01552322.
• Collaborate closely with departmental peers and stakeholders to ensure seamless operational continuity.
• Monitor core performance KPIs, troubleshoot bottlenecks, and implement optimization protocols.
• Champion high quality standards, peer reviews, and comprehensive team documentation.
Candidate Skill Fit Analysis
Sign in to check profile matchRequired competencies and technical background for this position:
Estimated In-Hand Salary
New Tax Regime (AY 2026–27)Editable what-if calculation; when employer pay is not disclosed, the starting amount is an example, not a salary offer. Indicative estimate using standard assumptions for EPF, professional tax and Section 87A. Actual payroll, benefits and deductions vary by employer and individual.
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