Job Title : Lead Data Scientist / Senior Data Scientist

Location : Hyderabad, Telangana (On-site, 5 days a week)

Experience : 7 - 12 Years

Employment Type : Full-Time

About the Role :

We are a fast-growing product company pioneering AI and Deepfake Detection technologies powered by a proprietary Biometric Engine. We are seeking a highly skilled Data Scientist (Individual Contributor) to drive our predictive analytics and machine learning initiatives. You will work on cutting-edge data science challenges, applying machine learning techniques to large datasets to generate actionable insights and integrate AI models into production.

Key Responsibilities :

- Analyze structured and unstructured data to identify patterns, build predictive models, and generate actionable business insights.

- Perform end-to-end data preprocessing, feature engineering, model development, and model evaluation.

- Develop and integrate REST APIs for seamless AI model deployment into enterprise systems.

- Evaluate, fine-tune, and optimize AI/ML models to improve accuracy, scalability, and reliability.

- Ensure data quality, governance, and security throughout the analytics lifecycle.

- Collaborate with cross-functional engineering and product teams to translate business requirements into robust analytical solutions.

Must-Have Qualifications :

- 7 to 12 years of overall experience, with a core 5 to 8 years of hands-on experience in Data Science, Machine Learning, and Predictive Analytics (Must be an Individual Contributor).

- Full-time Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or Engineering (Distance education and B.Com degrees are not accepted).

- Strong proficiency in Python, Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.

- Deep understanding of statistics, probability theory, hypothesis testing, regression analysis, and experimental design.

- Proven experience building REST APIs and deploying AI models into production.

- Must be willing to work entirely from our Hyderabad office (Monday - Friday).

Good-to-Have Skills :

- Experience with Generative AI and Large Language Models (LLMs).

- Hands-on experience with SQL/NoSQL databases, data warehouses, and Big Data technologies.

- Familiarity with cloud platforms (AWS) and containerization (Docker, Kubernetes).