> Markdown version of [/jobs/ext/4676612-senior-data-scientist-ml-python](https://www.wearedevelopers.com/jobs/ext/4676612-senior-data-scientist-ml-python). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - ML, Python - **Company:** HCL Technologies - **Location:** Palo Alto, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Amazon Web Services, Cyber Security, Databases, Continuous Integration, Data Cleansing, Data Integration, Data Security, DevOps, Monitoring of Systems, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, SQL Databases, Scripting, Feature Engineering, Data Ingestion, Information Technology, Machine Learning Operations, Data Pipelines - **Published:** November 11, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-data-scientist-ml-python-palo-alto-ca--f89427af-40cc-4a8d-acd6-fc895a3ec0f3 ## About the Role Data Science, Python Programming/Scripting Language, Machine Learning, Identify Issues, Problem Solving Skills, Information/Data Security (InfoSec), Computer Science, Python Programming/Scripting Language, SQL (Structured Query Language), Structured Data, * Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience). * Proficiency in Python with experience in writing clean, efficient, and maintainable code. * Experience with SQL for querying, manipulating, and managing structured data in databases. * Proven experience in software engineering with a focus on deploying, monitoring, scaling, and maintaining ML systems from scratch. * Experience with data ingestion processes, including the collection, processing, and integration of data from various sources into ML systems. * Knowledge of DevOps practices (CI/CD, model monitoring/observability) * Experience with cloud platforms, AWS preferred. * Practical knowledge of machine learning concepts (e.g., model training, evaluation) and experience with ML frameworks to support engineering tasks. * Familiarity with data science workflows, including data preprocessing, feature engineering, and analysis. * Ability to collaborate effectively in a team environment and communicate technical concepts clearly ## Description Skilled and motivated Machine Learning (ML) with a focus on the maintenance and enhancement of existing projects, implement new features, and contribute to the development of new solutions, with enough understanding of ML concepts to collaborate effectively within our team. Key Responsibilities Responsibilities * Maintain and optimize deployed ML solutions ensuring reliability, performance, and security. * Collaborate with the team to design and implement new features for existing ML projects based on evolving requirements * Troubleshoot and resolve production issues, ensuring minimal downtime. * Assist in scoping, building, and deploying new ML project in the information security space. * Stay current with advancements in ML to propose practical, engineering-focused solutions.