We are seeking an experienced and impact-driven Data Scientist to join our team.
In this role, you will be responsible for delivering end-to-end data science
solutions, from problem definition and data exploration to model deployment and
evaluation. You will act as a technical bridge between complex data environments
and business stakeholders, influencing the technical direction of projects and
ensuring that our models provide quantifiable value and drive key business
objectives.

RESPONSIBILITIES

* End-to-End Model Development: Design, execute, and deploy impactful DS
projects. This includes performing Exploratory Data Analysis (EDA), feature
engineering, and implementing advanced modeling techniques tailored to unique
data characteristics (e.g., XGBoost, TensorFlow, or PyTorch).
* Engineering & Reproducibility: Consistently deliver high-quality,
reproducible code. You will implement robust error handling, conduct
comprehensive model validation, and establish patterns/standards for code
clarity and maintainability within a Git-based workflow.
* MLOps & Deployment:



Deploy models using established CI/CD pipelines and tools
(e.g., MLflow, Kubeflow). You will be responsible for designing scalable
deployment strategies, configuring model monitoring, alerting, and
troubleshooting prediction service issues.
* Cloud Operations: Implement data processing pipelines in the cloud (e.g.,
Spark, Dataflow) and manage ML services effectively. You will optimize cloud
resources for cost-efficiency, security, and reliability.
* Experimentation & Observability: Design and execute experiments (A/B tests)
and create dashboards to monitor model health, feature drift, prediction
distributions, and performance SLOs (Service Level Objectives).
* Collaboration & Influence: Translate business needs into technical tasks and
build consensus on analytical approaches. You will mentor junior team members
through constructive code/methodology reviews and communicate findings
effectively to wide-ranging

📌 Data Scientist (Chennai)
🏢 Ford Motor
📍 Chennai