692 Remote data science jobs in India.

... operations - Legal operations - Other compliance-sensitive data environments Core Skills - Data Entry - Data Validation - Data Quality Assurance - Error Detection - Data Reconciliation - Accuracy Control - Data Integrity - Format Reconciliation - Dataset Curation - CSV & Spreadsheet Validation - PDF Data Review - Document Validation ...

... companies. Job Title: Data Warehouse Engineer Workplace Type: Remote The future is bright for the Porch Group, and we'd love for you to be a part of it as our Data Warehouse Engineer with the Data team . We are seeking a Data Warehouse Engineer to join our data team as a strong individual contributor. In this role, you will ...

... data models in Snowflake for analytics and visualization. Ensure data accuracy, performance optimization, and visualization best practices. Work closely with data engineering to ensure smooth data integration and pipeline readiness. Troubleshoot issues related to data, performance, or visualization logic. Overall 5+ years ...

... manage databases and data warehouses and optimise database performance and storage across multipul platforms, e.g. Snowflake, PostgreSQL RDS & Aurora. Ensure data quality, integrity, and reliability, whilst adhering to data security best practices. Work closely with data analysts, and other stakeholders to understand data ...

... modelers and analysts to deliver analytics-ready datasets Support downstream reporting and dashboarding use cases What we’re looking for Strong experience as a Data Engineer in Azure environments Hands-on with tools such as Azure Data Factory, Azure Databricks, Synapse or similar Solid SQL and data transformation experience ...

MDM Data Engineer Location: Remote (Offshore) Full time Snowflake- 5 Years Master Data Management- 5 Years Scripting – Python- 5 Years SAP/Salesforce/Engage to Graph DB- 5 Years Minimum IT Experience: 8+ Years The MDM Data Engineer will build and operate the data pipelines, models, and profiling capabilities that power ...

... models on Databricks that the organization uses as the source of truth for what's happening in the business.- Support external reporting with accurate, governed data that stakeholders and partners can trust.- Own data quality: testing, CI/CD, documentation, and patterns the team follows.- Build and evolve Databricks dashboards ...

... Implement 'Data SLAs.' You will build the monitoring and alerting systems that notify the team of data drift or pipeline failures before the business notices. Data Productization: Work closely with the BI team and Data Scientists to prepare 'feature-ready' datasets. Performance Tuning: Deep-dive into SQL and Spark query ...

... contribute to improving the quality of data used in next-generation AI systems. Key Responsibilities Data Analysis & Review Review and analyze large business datasets for accuracy, completeness, and relevance . Examine data to identify inconsistencies, anomalies, and potential quality issues. Assess data integrity and provide ...

Tiger Analytics is a fast-growing AI and advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and Big Data. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. We are working to build one of the ...

... in this data to build new products – More towards the role required The Data Science department at BOLD is responsible for discovering patterns and trends in datasets to get insights, creating predictive algorithms and data models, improving the quality of data or product offerings by utilizing machine learning techniques, ...

... cross-functional teams to design and implement data models for predictive analytics and data visualization. 4. Perform data cleaning and manipulation to ensure data accuracy and consistency and optimize data quality. 5. Work on data entry tasks to input and organize large volumes of data in databases and data warehouses. ...

... Correcting errors and organizing the information in a manner that will optimize swift and accurate capturing - Entering and updating information into relevant databases - Informing relevant parties regarding errors encountered - Handling additional duties from time to time Requirements - 1+ years experience in a relevant ...

SAS Clinical Remote job Full time

... specifically designed to support AI/ML workflows, including feature engineering and model training datasets. Design and implement robust data pipelines, data lakes, and data warehousing solutions. Partner with data scientists and analysts to deploy machine learning models and analytics solutions on Databricks. Enhance Databricks cluster ...

... & SPOKE teams to independently build trusted data products aligned with the OneData https://jobeax.com/link/2Y4cCTL2qZrUlGJ5 You'll Do : - Create enterprise data models (ERDs), semantic architectures using Databricks Metric Views, and Databricks Genie solution architectures to support trusted data products, self-service ...

... Experience with multimodal AI systems involving image, video, and text reasoning. Educational Qualifications https://jobeax.com/link/5Im6Nfh21WlEEm2q Computer Science Artificial Intelligence Data Science Machine Learning Or related technical fields Additional Requirements Must be willing to work from the Chennai office location ...

... high-quality training datasets for AI models. The position requires managing teams of human annotators and coordinating with technical stakeholders to align data standards with project objectives. Key Responsibilities: Design and implement data annotation guidelines to maintain consistency and accuracy across datasets. ...

... MS-Excel to accurately input and update data 2. Maintain and organize large databases to ensure data integrity 3. Collaborate with team members to streamline data entry processes 4. Perform regular quality checks to identify and correct errors 5. Generate reports and analyze data trends for decision-making purposes 6. Support ...

... statistics, databases, data pipelines and biological data interpretation. - Familiarity with genomics, transcriptomics, proteomics, metabolomics or other omics data is an advantage. - Strong research and scientific documentation skills. - Ability to work across healthcare, biology, data science and technology teams. - Interest ...