Sr Data Scientist

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.

Education: Master's or Ph.D. in Computer Science, Data Science, or a related field.

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.

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.