Senior Data Scientist

DU Tech Corp.

Tiruchirappalli

On-site

INR 1,200,000 - 2,400,000

Full time

14 days+

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Job summary

DU Tech Corp. is seeking a Senior Data Scientist in India to provide advanced expertise and individual-contributor leadership across data science. You will lead complex initiatives, shape solution direction, mentor others, and partner with teams to deliver scalable and measurable outcomes.

The role requires experience in statistical modeling, experimentation, ML, Python or R, SQL, and data visualization, with the ability to influence across product, security, and technology stakeholders.

Qualifications

  • Must have 4–9 years of relevant data science experience.
  • Experience with statistical modeling, experimentation, predictive analytics, machine learning, and insight generation.
  • Ability to lead complex initiatives and influence decisions without direct authority.
  • Strong knowledge of Python or R, SQL, and data visualization.

Responsibilities

  • Lead complex data science initiatives and provide advanced subject-matter expertise.
  • Define or improve approaches, standards, and reusable patterns across modeling, experimentation, analytics, ML, and insights.
  • Translate enterprise priorities into technical direction and actionable deliverables.
  • Lead reviews and resolve complex risks, dependencies, and trade-offs.
  • Drive quality, security, reliability, automation, and continuous improvement.
  • Mentor practitioners and influence stakeholders without direct authority.
  • Communicate direction, risks, and recommendations to leadership and technical audiences.

Skills

Data engineering
ETL pipelines
Streaming pipelines
Coding with/without AI
Data pipelines design
Communication skills
Willingness to travel

Education

Bachelor's degree in Computer Science/Engineering/IT
Master's degree in related field (preferred)

Tools

Python
R
SQL
Visualization
PySpark
Spark
Databricks
Lakeflow

Job description

Chennai City Corporation, India | Posted on 24/09/2026

The Senior Data Scientist is an advanced individual contributor who provides technical or functional leadership across data science. This role leads complex work spanning statistical modeling, experimentation, predictive analytics, machine learning, and insight generation, establishes direction and standards, resolves high-impact challenges, and influences cross-functional outcomes without direct people-management accountability.

DU Tech is looking for a Senior Data Scientist to provide advanced expertise and individual-contributor leadership across data science. This role will lead complex work, shape solution direction, mentor others through influence, and partner across teams to deliver reliable, scalable, secure, and measurable outcomes.

Job Responsibilities
Delivery & Execution
  • Lead complex data science initiatives and provide advanced subject-matter expertise.
  • Define or improve approaches, standards, and reusable patterns spanning statistical modeling, experimentation, predictive analytics, machine learning, and insight generation.
  • Translate enterprise priorities into technical or functional direction and high-impact deliverables.
  • Lead reviews and resolve complex risks, dependencies, and trade-offs.
  • Drive quality, security, privacy, reliability, automation, reuse, and continuous improvement.
  • Serve as a trusted expert during critical delivery or operational issues.
Support & Enablement
  • Influence product, business, architecture, security, data, and technology stakeholders without direct authority.
  • Mentor practitioners and strengthen capability through reviews, standards, and knowledge sharing.
  • Communicate direction, risks, trade-offs, and recommendations to leadership and technical audiences.
  • Stay current on emerging practices and relevant industry developments.
Requirements
  • Bachelor's degree inComputerScience, Information Technology, Engineering, Design, Analytics,Business, or a related discipline
  • 4 to 9 years of relevantexperience in data science or a closely related discipline
  • Experience with statisticalmodeling, experimentation, predictive analytics, machine learning, and insightgeneration
  • Experience leading complexinitiatives and influencing decisions without direct authority
  • Knowledge of Python or R,statistics, experimentation, predictive modeling, machine learning, SQL, andvisualization
  • Experience collaboratingacross business and technology teams
  • Strong analytical, problem-solving, written, and verbal communicationskills
Preferred Qualifications & Interests (PQIs)
  • Master's degree in a related technical or business field is preferred
  • Advanced knowledge of Python or R, statistics, experimentation, predictive modeling, machine learning, SQL, and visualization
  • Experience with enterprise-scale cloud, data, digital, retail, pharmacy, healthcare, or customer technology environments
  • Experience working with global teams, managed service partners, or distributed delivery models
  • Relevant industry, cloud, agile, product, architecture, data, security, design, or technology certifications are preferred
Key Primary Skills
  • Completes programming and performs testing and debugging applications
  • "• Bachelor’s degree in computer science, Engineering, Information Systems, or related field.
  • 3+ years of experience in data engineering
  • Design ETL/ELT pipelines using PySpark, SQL, Spark Structred Streaming, and Databricks workflows - Lakeflow.
  • Capable of developing streaming data pipelines using PySpark APIs / Scala Spark APIs (version 3+) , Lakeflow concepts, Unity Catalog features
  • Capable of coding with or without AI assistants
  • Experience designing and supporting data pipelines; working in cross-functional or matrix organizations.
  • Ability to communicate technical concepts effectively.
  • Willingness to travel up to 10% as needed. "
Secondary Skills
  • Interpret and apply data in analyses and explains findings to business audiences to improve products and processes, or to discover the next breakthrough
  • Interpret and apply data in analyses and explains findings to business audiences to improve products and processes, or to discover the next breakthrough
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