Job Title: Data Scientist
Location: Hyderabad (Onsite 5 Days/Week)
Experience: 4+ Years
Employment Type: Contract / Full time
About Client -
Client is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges.Client offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale, Client is on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Client purpose is to provide certainty to shape a better tomorrow.Our Client is 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.
Job Summary
We are looking for a highly skilled
Data Scientist with strong expertise in
Python, Machine Learning, Advanced Analytics, and MLOps practices. The ideal candidate should have hands-on experience in building scalable machine learning solutions, translating complex business problems into mathematical models, and delivering actionable insights that drive business decisions.This role requires strong analytical thinking, advanced technical expertise, and excellent communication skills to collaborate with both technical and non-technical stakeholders.
Key Responsibilities
- Design, develop, and deploy scalable machine learning models for business-critical applications.
- Build production-grade Python code and software architectures for ML solutions.
- Apply supervised and unsupervised learning techniques to solve complex business problems.
- Work on advanced machine learning methods such as:
- Time-Series Forecasting
- Computer Vision / Image-Based ML
- Semi-Supervised Learning
- Translate business challenges into mathematical models, analytical frameworks, and data-driven solutions.
- Perform data exploration, feature engineering, model training, validation, and optimization.
- Implement engineering best practices including version control, automated testing, and CI/CD for machine learning workflows.
- Collaborate with cross-functional teams including business stakeholders, engineering teams, and leadership.
- Continuously improve model performance, scalability, and deployment efficiency.
- Support MLOps initiatives for model monitoring, maintenance, and lifecycle management.
Required Skills- Expert-level proficiency in Python
- Strong experience in building production-grade ML solutions
- Deep understanding of:
- Supervised Learning
- Unsupervised Learning
- Model Evaluation & Optimization
- Hands-on experience in at least one of the following:
- Time-Series Modeling
- Computer Vision / Image-Based Machine Learning
- Semi-Supervised Learning
- Strong knowledge of statistics, probability, and mathematical modeling
- Experience with data preprocessing, feature engineering, and model deployment
