Data Scientist

Job Description & Summary:

Data Scientist

Level: Senior Associate

Location: Noida,Bangalore

Skill: • Python, GenAI ,Machine learning, data science,statistics

Job Position Title: Data Scientist

Responsibilities:

• Develop and implement advanced statistical models and machine learning algorithms including time series forecasting, Bayesian modeling, and neural networks to solve complex business problems and drive data-driven

decision making.

• Design, build, and deploy scalable machine learning models on cloud

platforms (Azure/AWS/GCP) using MLOps practices including

Dockerization, CI/CD pipelines, and REST APIs to ensure efficient model lifecycle management.

• Process, cleanse, and validate large volumes of structured and

unstructured data using programming languages such as Python, R, and SQL, ensuring data integrity and quality for analytical purposes.

• Architect and maintain robust data pipelines and processing workflows on big data platforms including Hadoop and Elasticsearch, enabling seamless data flow for machine learning operations.
• Customize and deploy foundation models and Large Language Models (LLMs) for specific business use cases, implementing prompt engineering techniques and managing LLM orchestration frameworks.
• Collaborate with cross-functional teams to translate complex business requirements into actionable data science solutions, effectively communicating technical findings to both technical and non-technical stakeholders.
• Leverage deep learning frameworks including PyTorch, TensorFlow, and Keras to build sophisticated neural network models that address advanced analytical challenges and predictive modeling requirements.
• Maintain version control systems and collaborative development

environments to ensure codebase integrity, facilitate team collaboration, and implement best practices for reproducible data science workflows.

Mandatory skill sets: • • Proficient in programming languages like R, Python, and database query languages like SQL,Databricks is desirable. Familiarity with Scala, Java, or C++ is an added advantage.

• Proficient in Statistical modelling and Machine techniques such as time series forecasting, Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, etc.

• Good exposure to deep learning and associated frameworks (PyTorch, TensorFlow, and Keras).

•Ability to perform preprocessing of structured and unstructured data: