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:

Processing, cleansing, and validating the integrity of data to be used for

analysis.

• Strong working experience with cloud platforms: build, train, and

deploy ML Models on Azure/AWS/GCP.

• Good working knowledge in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores(SQL, Hive, HBase, etc.).

• Hand-on experience in the MLOps (Dockerization, REST APIs and the CI/CD/CT processes).

• Adaptation of foundation models/LLMs to address specific business challenges.

• Utilizing version control for maintaining codebase integrity and collaboration,fostering a collaborative and error-free development environment.

• Design,deploy and manage prompt-based models on LLMs for various NLP tasks.

•Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.

•Familiarity with LLM orchestration and agentic AI libraries.

• Good understanding of business and ability to translate domain problems to data science problem.

• Ability to communicate effectively with both technical and

non-technical stakeholders.

Good To Have skill sets: • Data analysis, SQL, MLOPS

Years of experience required: 6-9 years

Education qualification: B.Tech/MCA/BCA/M.tech