Sr Data Scientist

Birlasoft; Pune District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Birlasoft is seeking a Senior Data Scientist/Tech Lead Data Scientist to design scalable data pipelines, ML/NLP solutions, and GenAI innovations. You will mentor a team, build Python APIs and Streamlit dashboards, and collaborate with product managers and engineers across multiple domains.

Ideal candidates have 10–15 years of experience, 7+ years in data science, and proven leadership. The role is based in India with strong emphasis on collaboration across data & analytics teams.

Qualifications

• Education: Master's or Ph.D. in Computer Science or Data Science.
• Overall 10–15 years of experience with 7+ years in data science or ML.
• 2+ years of experience leading technical teams.
• Strong expertise in Python, DL frameworks, NLP libraries, and GenAI tools.
• Experience with API development and Streamlit dashboards.

Responsibilities

• Design scalable data pipelines and ML/NLP models for production use.
• Mentor team members; conduct code reviews and enforce best practices.
• Research and implement GenAI innovations to improve solutions.
• Develop Python APIs (Flask/FastAPI) and Streamlit dashboards.
• Collaborate with product, engineering, and analytics stakeholders.
• Communicate complex concepts to technical and non-technical audiences.

Skills

Python

NLP

GenAI

Deep Learning

Model Deployment

MLOps

CI/CD

Cloud Platforms

AWS

Azure

GCP

Spark

Hadoop

REST APIs

Streamlit

Education

Master's or Ph.D. in Computer Science / Data Science

Tools

TensorFlow

Theano

SpaCy

NLTK

Hugging Face

Flask

FastAPI

Streamlit

Job description

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Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI

Title: Sr Data Scientist

Description:

Area(s) of responsibility

Job Title: Tech Lead Data Scientist

Experience: 6-10 years

Location: Noida/ Mumbai/ Pune/ Hyderabad/ Bangalore/ Chennai

Department: Data & Analytics

Key Responsibilities:

Technical Prowess:

• Technical Architecture: Design and implement scalable data pipelines, machine learning models, and NLP systems.
• Code Review and Mentoring: Provide guidance and mentorship to team members on code quality, best practices, and technical challenges.
• Research and Innovation: Stay abreast of the latest advancements in deep learning, NLP, and GenAI, identifying opportunities for innovation and improvement.

Deep Learning and NLP Expertise:

• Model Development: Build and optimize deep learning models using TensorFlow, Theano, or other relevant frameworks.
• NLP Solutions: Develop and implement NLP solutions for tasks such as text classification, named entity recognition, sentiment analysis, and language generation.
• GenAI Integration: Leverage GenAI tools to enhance existing models and develop innovative solutions for complex language-related problems.

Python and API Development:

• Python Proficiency: Demonstrate strong programming skills in Python, including expertise in data manipulation, scientific computing libraries, and web frameworks.
• API Design and Implementation: Develop RESTful APIs to integrate machine learning and NLP models into existing systems.
• Streamlit: Utilize Streamlit for building interactive data applications and dashboards.

Communication and Collaboration:

• Effective Communication: Clearly articulate technical concepts to both technical and non-technical stakeholders.
• Team Collaboration: Foster a collaborative environment within the team and effectively communicate with other departments.
• Cross-Functional Collaboration: Work closely with product managers, engineers, and business analysts to understand requirements and deliver impactful solutions.

Qualifications:

• Education: Master's or Ph.D. in Computer Science, Data Science, or a related field.
• Experience:
  • Overall 10 – 15 years of experience with 7+ years of experience in data science or machine learning, with a proven track record of delivering production-ready solutions.
  • 2+ years of experience leading technical teams.
  • Strong expertise in Python, deep learning frameworks (TensorFlow, Theano), NLP libraries (spaCy, NLTK, Hugging Face), and GenAI tools.
  • Experience with API development (Flask, FastAPI) and Streamlit)

Preferred Skills:

• Cloud Platforms: AWS, Azure, GCP
• Big Data Technologies: Spark, Hadoop
• MLOps: Experience with model deployment, monitoring, and continuous integration/continuous delivery (CI/CD) pipelines.