Senior Data Scientist
New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonMachine LearningNumpyPyTorchPandasTensorflowscikit-learnLLMMLOps
Requirements
- Master’s degree (M.Sc. or equivalent) in Data Science, Computer Science, Mathematics, Statistics, or a related quantitative field.
- 7+ years of hands-on experience in data science, with proven delivery of end-to-end production ML systems.
- Strong expertise in Python and core data science libraries such as NumPy, Pandas, Scikit-learn, and PyTorch or TensorFlow.
- Deep understanding of machine learning concepts, model behavior, and statistical reasoning.
- Solid knowledge of large language models, including fine-tuning and adaptation techniques.
- Experience working in cross-functional teams with strong communication and stakeholder management skills.
- Strong analytical thinking, structured problem-solving, and ability to operate in complex technical environments.
- Experience in applied AI domains such as security analytics, compliance, or enterprise-scale systems is highly valued.
Responsibilities
- Lead end-to-end data science projects from problem framing through model development, validation, deployment, and ongoing production monitoring.
- Design and build security-focused AI systems, including intelligent agents and multi-step reasoning models.
- Develop and optimize machine learning models for classification, anomaly detection, prediction, and other advanced analytical use cases.
- Fine-tune and adapt large language models (LLMs) for domain-specific security applications and workflows.
- Collaborate with product, engineering, and security stakeholders to translate business and technical requirements into AI solutions.
- Ensure scalable deployment of models using CI/CD pipelines and best practices in MLOps.
- Provide technical leadership, mentorship, and guidance across multidisciplinary data science initiatives.
- Continuously monitor model performance and improve system reliability, robustness, and accuracy in production.
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