Sr Data Scientist
2 weeks ago
We're Hiring: Senior Data Scientist ( Only Serving Notice
Location:
Chennai (Work From Office | Mon–Fri)
Timings:
1:00 PM – 10:00 PM IST
Experience:
5–8 Years
CTC:
20-25₹ LPA
Notice Period:
Immediate to 15 Days
We're looking for a
Senior Data Scientist
to lead the development of scalable, impactful machine learning and AI solutions. In this role, you'll work cross-functionally with engineering, product, and business teams to drive innovation and value using data.
Key Responsibilities
- Lead end-to-end data science projects, from problem definition through model deployment.
- Build and deploy predictive models, optimization techniques, and statistical analyses.
- Translate complex data into actionable insights for both technical and non-technical stakeholders.
- Design and execute experimentation strategies such as A/B testing.
- Collaborate with data engineering teams to develop scalable, production-grade pipelines.
- Mentor junior team members and contribute to best practices and internal research initiatives.
- Design and implement
Retrieval-Augmented Generation (RAG)
pipelines using LLMs to solve business problems in areas like knowledge retrieval, document summarization, or intelligent automation.
Required Skills & Qualifications
- Master's or PhD in Computer Science, Statistics, Mathematics, or a related field.
- 5+ years of industry experience in data science with production-level deployments.
- Strong expertise in
Python
and
SQL
. - Hands-on experience with ML libraries:
scikit-learn
,
XGBoost
,
TensorFlow
,
PyTorch
. - Proficiency in data visualization tools:
Tableau
,
Power BI
,
matplotlib
,
Plotly
. - Solid grounding in statistics, machine learning, and experimental design.
- Cloud experience with
AWS
,
GCP
, or
Azure
; version control with
Git
. - Experience with
MLOps
tools like
MLflow
,
Kubeflow
,
Docker
, and
CI/CD
. - Experience with Retrieval-Augmented Generation (RAG) systems
, including integration with vector databases, embedding models, and LLM APIs. - Bonus: Familiarity with
NLP
,
time series forecasting
,
recommendation systems
. - Good to have: Exposure to
big data
tools like
Spark
,
Hive
, or
Presto
.
If you meet the criteria and can join within 15 days, feel free to connect or share your profile.
This is a high-impact role at the intersection of data science and modern AI applications.
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