Data Scientist
First seen by Alion on Sep 14, 2026.
Roles & Responsibilities :
- Collaborate with business stakeholders, product managers, and engineering teams to translate business requirements into analytical solutions.
- Strong proficiency in Python, including experience with data manipulation, statistical analysis, machine learning, and model development using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch and related frameworks.-
- Extract and integrate data from multiple sources through APIs, databases, and filebased interfaces.
- Analyze structured and unstructured data to identify trends, patterns, and actionable business insights.
- Perform data preprocessing, feature engineering, model development, deployment and model evaluation
- Evaluate, finetune, and optimize AI/ML models to improve accuracy, performance, scalability, and reliability.
- Develop APIs and services for model deployment and integration with enterprise systems.
- Ensure data quality, governance, security, and compliance throughout the analytics lifecycle.
- Stay current with emerging AI, GenAI, machine learning, and data science technologies and recommend their adoption where appropriate
Good to have :
- Experience with Generative AI technologies, Large Language Models (LLMs)
- Experience working with SQL and NoSQL databases, data warehouses, and big data technologies.
- Familiarity with cloud platforms such as AWS, and containerization technologies such as Docker and Kubernetes.
Skills
Data Science, Data Scientist, Artificial Intelligence, Machine Learning, Generative AI, LLM, AWS, PyTorch, Tensorflow, Python