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Lead Data Scientist

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Citi

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Location:
India , Chennai

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.

Job Responsibility:

  • Strategic Leadership & Vision: Define and execute the data analytics strategy
  • Project & Program Management: Lead and oversee multiple complex data analytics projects
  • Advanced Analytics & Modeling: Apply sophisticated statistical analysis, predictive modeling, machine learning techniques, and experimental design (A/B testing)
  • Stakeholder Engagement & Communication: Collaborate effectively with senior leadership, cross-functional department heads, and external partners
  • Team Leadership & Mentorship: Provide strong technical and career mentorship to a team of data analysts
  • Data Architecture & Governance: Partner with data engineering and IT teams to influence data architecture design
  • Tooling & Innovation: Evaluate and recommend new analytical tools, technologies, and methodologies
  • Performance Monitoring & Optimization: Design, develop, and implement advanced dashboards, reporting systems, and analytical frameworks

Requirements:

  • Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Economics, or a closely related discipline
  • Minimum of 13+ years of progressive experience in data analytics, business intelligence, data science, or a similar data-intensive role, with at least 3-5 years in a leadership or lead analyst capacity
  • Expert-level SQL Proficiency
  • Advanced Programming Skills in at least one major programming language for data analysis (e.g., Python, R)
  • Business Intelligence & Visualization Expertise using industry-leading BI tools (e.g., Tableau, Power BI, Looker, Qlik Sense)
  • Statistical & Modeling Acumen
  • Extensive hands-on experience with cloud-based data platforms and services (e.g., AWS Redshift, S3, Athena, EMR
  • Google BigQuery, Cloud Dataflow, Cloud Storage
  • Azure Synapse Analytics, Data Lake)
  • Leadership & Strategic Thinking
  • Exceptional Communication
  • Problem-Solving & Critical Thinking

Nice to have:

  • Master's degree or PhD in a quantitative field, or an MBA with a strong quantitative focus
  • Experience in a relevant industry such as financial services, technology, or consulting
  • Proven experience in defining, implementing, and managing data governance policies and procedures
  • In-depth knowledge and practical experience with machine learning (ML) model development, deployment, and MLOps practices
  • Experience with big data technologies such as Hadoop, Spark, or Kafka
  • Familiarity with data orchestration tools and ETL/ELT processes
  • Relevant certifications in cloud platforms (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer) or specific data tools

Additional Information:

Job Posted:
March 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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