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Data Scientist

Actively Reviewing the Applications

Viraaj HR Solutions Private Limited

India, Tamil Nadu, Chennai Full-Time On-site INR 15–30 LPA

Posted 1 day ago • Apply by May 14, 2026

Job Description

Primary Title: Data Scientist

Location: India (On-site)

Role & Responsibilities

Design, develop, and validate end-to-end predictive models and ML solutions for business use cases—classification, regression, and time-series forecasting.
Perform feature engineering, exploratory data analysis, and statistical inference to translate business problems into data-driven solutions.
Build scalable data pipelines and model training workflows using Python and Spark; ensure reproducibility and versioning.
Deploy and monitor models in production; implement CI/CD and observability for model performance and data drift.
Collaborate with product managers, engineers, and stakeholders to define success metrics and integrate models into applications and dashboards.
Document model design, assumptions, and validation results; present insights and technical recommendations to non-technical audiences.

Skills & Qualifications

Must-Have

Python
SQL
scikit-learn
Pandas
NumPy
TensorFlow
PyTorch
Apache Spark

Preferred

MLflow
Docker
AWS SageMaker

Qualifications

Proven track record building and shipping ML models into production for commercial use cases.
Strong statistical foundation and experience with A/B testing, model validation, and performance metrics.
Comfort working on-site with cross-functional teams; excellent ability to translate business needs into technical solutions.

Benefits & Culture Highlights

Hands-on ownership of end-to-end ML projects with visible business impact.
Collaborative, delivery-focused environment with opportunities for technical growth and mentorship.
Exposure to diverse industry datasets and enterprise-grade production systems.

We encourage motivated Data Scientists who enjoy solving ambiguous problems and operationalizing ML at scale to apply.

Skills: python,tensorflow,sql,pytorch,docker,apache spark,pandas,numpy,scikit-learn