Principal statistical data scientist Jobs

Expert Data Scientist - K T
Cigres Technologies —Bengaluru, Karnataka
- ₹1,825 a day
- Azure
- System design
- Master's degree
Principal Consultant - Air Quality
WSP —Mumbai, Maharashtra
- Hybrid work
- Microsoft Excel
- English
- Master's degree
Principal ML Engineer
Signify —Bengaluru, Karnataka
- Computer Science
- Master's degree
- SQL
9d
Lead Data Scientist
Think360 —Mumbai, Maharashtra
- Data analysis skills
- Math
- Machine learning
Consultant, Data Engineering
Dell Technologies —Bengaluru, Karnataka
- Full-time
- Computer Science
- SQL
- Bachelor's degree
3d
Senior Research Scientist: Product Growth & Impact Analysis
Convegenius —Uttar Pradesh
- SQL
- Machine learning
- Mentoring
- Health insurance
Quick apply
Data Engineer (AWS) - Assistant Manager
Deloitte —Hyderabad, Telangana
- Computer science
- Azure
- Data analysis skills
5d
Equipment Data Foundation Model Specialist
GE HEALTHCARE —Bengaluru, Karnataka
- Azure
- Doctoral degree
- Computer Science
AI, Principal Engineer
Synopsys —Bengaluru, Karnataka
- Azure
- Doctoral degree
- Computer Science
- Health insurance
Senior Data Analyst (AI & Advanced Analytics)
Fresenius Medical Care —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
2d
Principal AI Scientist
Pristine Infotech —Mumbai, Maharashtra
- Email
- Computer science
- Doctoral degree
- SQL
Principal - AI/ML
iSOCRATES —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Master's degree
Quick apply
Lead AI Engineer
vConstruct —Pune, Maharashtra
- Full-time
- Azure
- Master's degree
- Databases
4300_LDS
Recruise —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
Principal AI and Machine Learning Engineer
Hewlett Packard Enterprise —Bengaluru, Karnataka
- Full-time
- Computer Science
- Research
- Java
Principal Data Scientist
TEG Analytics —India
- Computer Science
- Master's degree
- Machine learning

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Expert Data Scientist - K T

Cigres Technologies
Bengaluru, Karnataka

Apply Now

Job details

₹1,825 a day

Qualifications

Azure
Law
MCP
System design
Git
Master's degree
SQL
AWS
Quality assurance
Docker
Machine learning
Natural language processing
GitHub
APIs
Data visualization
Python

Full job description

Required Skills:

Machine Learning
NLP / GenAI
Python
Cloud ML Platforms
Data Wrangling
Statistical Modelling
SQL / Databases
MLOps / Version Control

Nice to Have:

Data Visualization
API Development

Expert Data Scientist Experience Level: 10+ Years | Classical ML + GenAI+ ML-Ops ________________________________________ Overview An accomplished Principal / Expert Data Scientist with 10+ Year of experience and having deep expertise & hands-on in classical machine learning, GenAI Applications & ML lifecycle, ________________________________________ Key Responsibilities 1. Machine Learning & Statistical Modelling • Build and optimize complex ML models: regression, classification, clustering, sequence models, time series forecasting. • Lead sophisticated feature engineering and data quality analysis. • Apply statistical modelling techniques, experimental design, and Performance evaluation. • Develop scalable and maintainable ML pipelines for structured and unstructured data. 2. GenAI & LLM Systems • Architect and develop LLM-based applications using SOTA LLM’s. • Build RAG pipelines using vector databases (faiss, aisearch, opensearch, PG vector etc). • Integrate GenAI systems with enterprise apps, APIs, and data sources. • Model Context Protocol (MCP) & Tooling • Exposure of Agentic systems and multi-agent workflows 3. Agentic Systems & Model Context Protocol (MCP) • Exposure to agentic system design, including tool calling workflows, planner–executor patterns, and multi agent coordination. • Integrate memory architectures such as episodic, semantic, and vector based long term memory within agent workflows. • Implement and manage Model Context Protocol (MCP) servers to enable seamless connectivity between LLMs, tools, APIs, and enterprise applications. • Collaborate with engineering teams to build reliable, extensible agent tooling and ensure smooth integration into production environments. 4. Cloud ML-Ops & Quality • ML Modelling, data drift, concept drift, model quality monitoring. • Hands‑on experience across AWS/ Azure/ Databricks, with flexibility to work on any cloud platform. • Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown) 5. Leadership & Collaboration • Lead technical direction for AI solutions. • Work with product teams to define AI features. ________________________________________ Required Skills & Experience • 10+ years in Classical ML, GenAI & ML-Ops. • Strong experience in: o Python, PySpark, SQL, Scikit-Learn, XGBoost, LightGBM, Random Forest o LangChain, LangGraph, LangSmith (tracing, metrics, evaluations) o MLflow / Sagemaker / Databricks o Docker, Git-Ops • Experience building production-grade GenAI applications. • Skilled in EDA, DOE, and model evaluation metrics for identifying data patterns, validating hypotheses, and improving model quality

Apply Now

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Expert Data Scientist - K T

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4300_LDS

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