Senior Data Scientist

DU Tech Corp.; Chennai; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

DU Tech Corp. in Chennai is seeking a Senior Data Scientist to provide advanced expertise and individual-contributor leadership across data science.

You will lead complex work, shape solution direction, mentor others through influence, and partner with teams to deliver reliable, scalable, secure outcomes. The role requires 4–9 years of experience in data science, strong Python/SQL skills, and a track record in statistical modeling and ML.

Qualifications

• Bachelor’s degree in CS/IT/Engineering or related field.
• 4–9 years of relevant experience in data science.
• Proficiency with Python or R, SQL.
• Experience with statistical modeling, experimentation, ML, and insight generation.
• Ability to lead complex initiatives and influence decisions without direct authority.
• Strong communication and cross-team collaboration skills.

Responsibilities

• Lead complex data science initiatives and provide advanced subject-matter expertise.
• Define or improve approaches, standards, and reusable patterns across modeling, experimentation, ML, and insight generation.
• Translate priorities into technical direction and high-impact deliverables.
• Lead reviews and resolve complex risks, dependencies, and trade-offs.
• Drive quality, security, reliability, automation, and continuous improvement.
• Mentor practitioners and share knowledge across teams.

Skills

Python

SQL

PySpark

Spark

Databricks

Lakeflow

ETL pipelines

Data modeling

Statistical modeling

Communication

Team collaboration

Education

Bachelor's degree in CS/IT/Engineering

Master's degree preferred

Tools

Databricks

Lakeflow

Spark

Job description

Job Summary - Job Description

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 in Computer Science, Information Technology, Engineering, Design, Analytics, Business, or a related discipline
• • 4 to 9 years of relevant experience in data science or a closely related discipline
• • Experience with statistical modeling, experimentation, predictive analytics, machine learning, and insight generation
• • Experience leading complex initiatives and influencing decisions without direct authority
• • Knowledge of Python or R, statistics, experimentation, predictive modeling, machine learning, SQL, and visualization
• • Experience collaborating across business and technology teams
• • Strong analytical, problem-solving, written, and verbal communication skills

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

• \"• Bachelor’s degree in computer science, Engineering, Information Systems, or related field.
• • 3+ years of experience in data engineering
• • Strong SQL, PySpark/Scala Spark development experience.
• • 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