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Data India Jobs (NOW HIRING)

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site +1

Role: Data Scientist - INDIA Location: Hyderabad / Noida, INDIA *Consultants local to INDIA are eligible. Category: Data Science Structured Data / Text Data (NLP & GenAI) About the Role We are ...

Vytwo

Senior Data Engineer - INDIA

Prosper, TX · On-site +1

$97K - $131K/yr

Senior Data Engineer Remote Work: INDIA Location: Hyderabad / Noida, INDIA *Only Consultants local to INDIA are eligible. *No visa Sponsorship Primary Responsibilities: * Design, develop, and ...

Vytwo

Senior Data Engineer - INDIA

Prosper, TX · On-site +1

$97K - $131K/yr

Senior Data Engineer Remote Work: INDIA Location: Hyderabad / Noida, INDIA *Only Consultants local to INDIA are eligible. *No visa Sponsorship Primary Responsibilities: * Design, develop, and ...

Matthews Asia

India Research Analyst

Sunnyvale, CA

... India-focused strategies. This is a research-intensive role suited for an experienced buy-side ... Collect, organize, and synthesize company, industry, and macroeconomic data to support investment ...

Matthews Asia

India Research Analyst

San Jose, CA

... India-focused strategies. This is a research-intensive role suited for an experienced buy-side ... Collect, organize, and synthesize company, industry, and macroeconomic data to support investment ...

Matthews Asia

India Research Analyst

Fremont, CA

... India-focused strategies. This is a research-intensive role suited for an experienced buy-side ... Collect, organize, and synthesize company, industry, and macroeconomic data to support investment ...

Matthews Asia

India Research Analyst

Alameda, CA

... India-focused strategies. This is a research-intensive role suited for an experienced buy-side ... Collect, organize, and synthesize company, industry, and macroeconomic data to support investment ...

Matthews Asia

India Research Analyst

Mundelein, IL

... India-focused strategies. This is a research-intensive role suited for an experienced buy-side ... Collect, organize, and synthesize company, industry, and macroeconomic data to support investment ...

Matthews Asia

India Research Analyst

Santa Clara, CA

... India-focused strategies. This is a research-intensive role suited for an experienced buy-side ... Collect, organize, and synthesize company, industry, and macroeconomic data to support investment ...

Matthews Asia

India Research Analyst

Sonoma, CA

... India-focused strategies. This is a research-intensive role suited for an experienced buy-side ... Collect, organize, and synthesize company, industry, and macroeconomic data to support investment ...

Matthews Asia

India Research Analyst

San Mateo, CA

... India-focused strategies. This is a research-intensive role suited for an experienced buy-side ... Collect, organize, and synthesize company, industry, and macroeconomic data to support investment ...

Matthews Asia

India Research Analyst

Hayward, CA

... India-focused strategies. This is a research-intensive role suited for an experienced buy-side ... Collect, organize, and synthesize company, industry, and macroeconomic data to support investment ...

Matthews Asia

India Research Analyst

Santa Rosa, CA

... India-focused strategies. This is a research-intensive role suited for an experienced buy-side ... Collect, organize, and synthesize company, industry, and macroeconomic data to support investment ...

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How much do data india jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data india in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Is 30 too late for data science?

Data India, a data science role, does not have an age limit; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and practical experience are key factors for entering the field at any age.

Is data entry a good job?

Data entry is a common job that involves inputting information into digital systems, often requiring basic computer skills and attention to detail. It can offer flexible hours and remote work options, but typically has low to moderate pay and limited career advancement opportunities.

Is there a demand for data analysts?

Data analysts are in high demand across various industries due to the increasing reliance on data-driven decision-making. Skills in data visualization, SQL, and statistical analysis are highly valued, and many organizations are hiring data analysts to improve business insights and efficiency.

Is data science a high paying job?

Data science is generally considered a high-paying profession due to the demand for skills in analytics, machine learning, and programming tools like Python and R. Salaries for data scientists tend to be above average compared to many other roles, especially with experience and advanced certifications.
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Data India jobs near you
Infographic showing various Data India job openings in the United States as of June 2026, with employment types broken down into 6% As Needed, 6% Full Time, and 88% Part Time. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist - INDIA

Vytwo

Prosper, TX • On-site, Remote

Full-time

Posted 19 days ago

Job description

Role: Data Scientist - INDIA
Location: Hyderabad / Noida, INDIA
*Consultants local to INDIA are eligible.Category: Data Science Structured Data / Text Data (NLP & GenAI)
About the Role

We are seeking a highly skilled Data Scientist (37 years of experience) to join our team and work across two major data science domains:
  1. Structured Data (8090%) Predictive analytics, forecasting, cost estimation, likelihood modeling, and batchoriented machine learning pipelines.
  2. Text / Unstructured Data (NLP & GenAI) Building lowlatency realtime systems using deep learning, LLMs, prompt engineering, and agentic AI frameworks.
This role requires strong expertise in Big Data processing, modern ML tools, and the ability to build scalable, production-ready data science solutions.
Key Responsibilities

Structured Data Machine Learning & Analytics

  • Build, deploy, and optimize ML models for predictive analytics, forecasting, classification, and regression.
  • Perform large-scale feature engineering using PySpark and Big Data tools.
  • Work on batch pipelines, model versioning, and experiment tracking.
  • Develop cost estimation and risk/likelihood models using statistical and ML techniques.
Text Data / NLP / GenAI

  • Build NLP pipelines using deep learning frameworks such as PyTorch, TensorFlow, or similar.
  • Develop realtime, lowlatency inference systems for text classification, embeddings, semantic search, summarization, and retrieval.
  • Create prompts, context graphs, and agentic workflows for LLM-based systems.
  • Apply knowledge of prompt engineering, context engineering, and autonomous agent frameworks to production systems.
Core Data Science Engineering & MLOps

  • Work in Databricks for ETL, feature engineering, ML training, and orchestration.
  • Use Azure services for model deployment, data pipelines, and infrastructure.
  • Collaborate using Git-based workflows; leverage tools like GitHub Copilot, Claude Code, etc.
  • Implement model monitoring, observability, drift detection, and performance tracking.
Required Skills & Experience

Core Skills

  • Strong hands-on experience with Databricks (Delta Lake, MLflow, Job Orchestration).
  • Excellent PySpark skills for large-scale distributed data processing.
  • Proficiency in Azure cloud services (ADF, Azure ML, AKS, Databricks on Azure).
  • Strong understanding of ML algorithms, statistical methods, and data analysis.
  • Experience with deep learning frameworks:
    • PyTorch
    • TensorFlow
    • Transformers (HuggingFace)
  • Experience with model monitoring and ML observability.
  • Ability to write clean, optimized code and leverage AI code assistants.
NLP / GenAI Specific Skills

  • Prompt engineering (task prompts, chain of thought, tool calling, retrieval prompts).
  • Context engineering (retrieval pipelines, RAG, memory management, context structuring).
  • Knowledge of LLM-based agentic frameworks (LangChain, Semantic Kernel, CrewAI, AutoGen, etc.).
  • Experience with vector databases and embedding models is a plus.
Good to Have Skills

  • Experience with containerization (Docker, Kubernetes, AKS).
  • Experience deploying models to production (REST APIs, real-time endpoints).
  • Knowledge of streaming technologies (Kafka, EventHub, Spark Streaming).
  • Understanding of CI/CD for ML (Azure DevOps / GitHub Actions).
Who You Are

  • A problem solver who is comfortable working with both structured and unstructured data.
  • Someone who enjoys using modern AI tools to accelerate development.
  • A data scientist who writes clean, production-grade code.
  • A collaborator who thrives in cross-functional teams and fast-paced environments.

Flexible work from home options available.