Srdata Scientist jobs at Ford in India, Chennai

You will work with diverse datasets, from structured logs to unstructured events, to build intelligent systems for event correlation, root cause analysis, predictive maintenance, and autonomous remediation, ultimately driving significant operational efficiencies and improving service availability. This position requires a blend of deep technical expertise in machine learning, a strong understanding of IT operations, and a commitment to operationalizing AI solutions at scale.

§ Hands-on Expertise in Python programming and experience in handling various data science libraries (Pandas, Numpy, Scipy) would be a necessary requirement

§ Familiarity with analytics methods (descriptive/predictive/prescriptive) and Business Intelligence tools (Python-Matplotlib, PowerBI, QlikSense) would be a definite plus.

§ Exposure to Cloud technologies (e.g., Google Cloud), including executing Machine Learning algorithms on Cloud would be definite plus.

GDIA Mission and Scope

Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Generative AI (GenAI), Natural Language Processing (NLP), & Natural Language Generation (NLG).

Employees in this job function are responsible for designing, developing, testing and maintaining software applications and products to meet customer needs both on-prem and cloud native. They are involved in the entire software development lifecycle including designing software architecture, writing code, testing for quality and deploying the software to meet customer requirements. Full-stack software engineering roles, who can develop all components of software including user interface and server side also fall within this job function.

What you’ll be able to do:

The Software Engineer will work on a Balanced Product Team and collaborate with the Product Manager, Product Designer, and other Software Engineers to deliver analytic solutions. The Software Engineer will be responsible for the development and ongoing support/maintenance of the analytic solutions.

• Product And Requirements Management: Participate in and/or lead the development of requirements, features, user stories, use cases, and test cases. Participate in stand-up operations meetings.
• Author: Process and Design Documents
• Design/Develop/Test/Deploy: Work with the Business Customer, Product Owner, Architects, Product Designer, Software Engineers, and Security Controls Champion on solution design, development, and deployment.
• Operations: Generate Metrics, Perform User Access Authorization, Perform Password Maintenance, and Build Deployment Pipelines.
• Incident, Problem, And Change/Service Requests: Participate and/or lead incident, problem, change and service request-related activities. Includes root cause analysis (RCA). Includes proactive problem management/defect prevention activities.

This role involves understanding business needs and analyzing data to create data-driven solutions. The candidate will design and implement data analysis and machine learning models to support decision-making. They will also apply various analytical techniques to uncover patterns and trends in data, while ensuring data accuracy and robustness. Finally, they are expected to stay updated on the latest advancements in data science and machine learning to improve analysis methods.