4,003 data science remote jobs in India.

... Data Governance & Processing : Implement data versioning, incremental processing, and ensure high data quality, consistency, and governance standards.- Azure Data Platform : Utilize Azure services such as Data Factory, Data Lake Storage, Synapse Analytics, and Key Vault to build secure, scalable data solutions.- Application ...

... technical and non-technical stakeholders. Continuously monitor and improve model performance using optimization techniques. Stay up-to-date with advancements in data science, machine learning, and AI technologies. Required Skills And Qualifications Experience: 5-7 years of hands-on experience in data analysis, predictive modeling, ...

... LangChain, OpenAI models, prompt engineering, RAG pipelines. - More on traditional machine learning with cloud aws exposure - Understanding of statistics, Ex – Data distributions, Data drift, and hypothesis testing - Experience in production level ML solutions. Ex – GIT, Modular coding and ML Pipelines - Good communication ...

... data pipelines for key business KPIs. Work with engineering teams to productionize models and ensure scalability and performance. 2–6 years of experience in Data Science, Machine Learning, or Advanced Analytics (preferably in B2C, media, or digital domains). - Strong knowledge of Python , SQL , and libraries like Pandas ...

Hiring: Senior Data Scientist AI / Generative AIWe are hiring for our client in the Financial Services / Capital Markets industry for a Senior Data Scientist to join their Advanced Technology https://jobeax.com/link/nUgDjUM2mpfiH4gK is a senior-level opportunity for an experienced AI/ML professional with strong hands-on ...

... for an experienced Data Engineer to join our growing data team. The ideal candidate will have a strong background in building and optimizing data pipelines, data architecture, and data sets. You will work closely with data scientists, analysts, and software engineers to support data initiatives and ensure optimal data ...

... ETL/ELT data pipelines using Azure and Databricks.- Develop and optimize data processing solutions using PySpark.- Build and manage data pipelines using Azure Data Factory (ADF).- Work with Databricks for data ingestion, transformation, processing, and optimization.- Write complex and optimized SQL queries for data extraction ...

... with Data Engineering teams to resolve data-quality issues and conduct root-cause analysis. Continuously improve analytical processes, dashboards, models, and data-driven decision-making practices. 3+ years of experience in Data Analytics, Business Analytics, Data Science, or a related field, preferably within a product-driven ...

... SQL / Python- Data Warehousing / Data Modeling- Data Quality / Governance- Streaming Data Processing- Azure Data Factory (ADF)- Azure Synapse Analytics- Azure Data Lake Storage (ADLS)- Performance Tuning / OptimizationPreferred Qualifications :- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, ...

... data processing.- Work with ADLS, Azure Databricks, Azure Data Factory, Synapse, and Azure SQL DB.- Build and maintain data lakes, analytical pipelines, and data processing frameworks.- Work with Delta Lake / Delta Live Tables for reliable data processing.- Develop solutions for both big data and relational database environments.- ...

... Experience with data visualization tools such as Power https://jobeax.com/link/UYNqzGK6Ok72ZAPd Skills & Qualifications :- 47 years of professional experience in data analysis and reporting.- Bachelors /Masters degree in Statistics, Mathematics, Economics, Computer Science, or a related field.- Proven experience in SAS for ...

... ETL/ELT data pipelines using Azure and Databricks.- Develop and optimize data processing solutions using PySpark.- Build and manage data pipelines using Azure Data Factory (ADF).- Work with Databricks for data ingestion, transformation, processing, and optimization.- Write complex and optimized SQL queries for data extraction ...

... model validation principles, and enterprise AI governance. Strong hands-on development skills for AI and data science solutions, including Python, AI/ML and data science libraries, APIs, SQL/NoSQL databases, data pipelines, and modern application development practices. Prior exposure to pharma, life sciences, or regulated ...

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