Data Scientist

Mphasis; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading IT service provider is seeking a Data Science Lead in Hyderabad with 7-10 years of experience in implementing data science projects. The ideal candidate should have expertise in machine learning frameworks like TensorFlow and scikit-learn, and strong skills in Natural Language Processing (NLP). Responsibilities include creating efficient ML pipelines and translating complex problems into actionable solutions. This role offers a dynamic work environment and opportunities for growth.

Qualifications

• 7+ years of software development experience.
• 4+ years of experience in data science and machine learning techniques.
• Experience with writing ML models using Python.
• Knowledge of cognitive services from AWS or Azure.

Responsibilities

• Implement and manage data science projects.
• Create data and ML pipelines using MLOps principles.
• Keep abreast of new tools and techniques in machine learning.
• Translate complex machine learning problems into deliverables.

Skills

Natural Language Processing (NLP)

Machine Learning frameworks

Python scripting

Cloud Cognitive Services (AWS, Azure)

Docker

Kubernetes

Education

Bachelor's degree in Computer Science, Information Technology

Tools

TensorFlow

Keras

scikit-learn

Dataiku

DataBricks

Job description

Location

Offshore – Hyderabad/Bangalore/Pune/Chennai

Position / Title

Data Science Lead

Who are we looking for?

Looking for individuals with 7-10 years of experience implementing and managing Data science projects. Working knowledge of Machine and Deep Learning based client projects, MVPs, and POCs. Expert level experience with machine learning frameworks like scikit-learn, TensorFlow, Keras and deep learning architectures like RNNs, LSTM. Experience with cognitive services from major cloud platforms such as AWS (Textract, Comprehend) or Azure Cognitive Services and working knowledge of SQL and NoSQL databases and microservices. Adapted to Python scripting. Experience on NLP and Text Analytics is preferred.

Responsibilities

Technical Skills – Must have:

• Knowledge of Natural Language Processing (NLP) techniques and frameworks like Spacy, NLTK, and good knowledge of Text Analytics
• Strong understanding and hands on experience with machine learning frameworks such as scikit-learn, TensorFlow, Keras and deep learning architectures like RNNs, LSTM, BERT
• Experience with cognitive services from major cloud platforms such as AWS and working knowledge of SQL and NoSQL databases
• Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles
• Keep abreast with new tools, algorithms and techniques in machine learning and implement them in the organization
• Strong understanding of evaluation and monitoring metrics for machine learning projects
• Strong understanding of containerization using Docker and Kubernetes to get the models into production
• Ability to translate complex machine learning problem statements into specific deliverables and requirements
• Adept at Python scripting

Technical Skills – Good To Have:

• Knowledge of distributed computing frameworks and cloud ML frameworks including AWS
• Experience in natural language processing, computer vision, or deep learning
• Certifications or courses in data science, analytics, or related fields
• Should exhibit diligence and meticulousness in working with data

Other Skills We'd Appreciate:

• 7+ years of Software Development experience
• 4+ years of experience in the Data Science and Machine Learning techniques
• Proven track record of getting ML models into production
• Hands‑on experience with writing ML models with Python
• Prior experience in ML platforms and tools such as Dataiku, DataBricks, etc. would be a plus

Education Qualification

• Bachelor's degree in Computer Science, Information Technology, or related field (Master's degree preferred)

Process Skills

• General SDLC processes
• Understanding of utilizing Agile and Scrum software development methodologies
• Skill in gathering and documenting user requirements and writing technical specifications

Behavioral Skills

• Good attitude and quick learner
• Well-developed design, analytical & problem‑solving skills
• Strong oral and written communication skills
• Excellent team player, able to work with virtual teams
• Self‑motivated and capable of working independently with minimal management supervision

Certification

• Having Machine Learning or AI certifications would be an added advantage