Data Scientist -63

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