3,003 junior data scientist jobs in India.

... reports, defect logs, cutover plans, migration status reports, and supporting documentation.- Troubleshoot migration issues and coordinate the resolution of data and load failures.- Communicate migration progress, risks, issues, assumptions, and dependencies to project stakeholders.- Guide junior consultants and ensure ...

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Actively hiring Data Entry Associate Start Date Starts Immediately CTC (ANNUAL) ₹ 4,50,000 - 6,00,000 ₹ 4,50,000 - 6,00,000 /year Experience No experience required No experience required Apply By 26 Nov' 26 Posted 1 day ago Fresher Job 1000+ applicants About the job Key Responsibilities: 1. Enter information into Google ...

... enabling secure reporting and analytics. Key Responsibilities - Identify and classify personal and sensitive data across BigQuery tables and fields. - Implement data masking, anonymization, and data protection policies for sensitive information such as PAN and GSTIN. - Configure data access restrictions, data retention, and ...

... team of data analysts across the entire data analytics lifecycle, ensuring best technical practices in SQL coding, Python scripting, and cloud architecture.- Data Architecture : Lead the designing and structuring of enterprise Data Warehouses and Data Marts, defining of optimal schemas that work with large data volumes ...

Labcorp seeks a Clinical Data Risk & Solutions Analyst (Global Monitor) to monitor clinical study laboratory metrics, identify data risks, and develop mitigation strategies. The role involves analyzing study performance, creating monitoring solutions, and collaborating with internal teams to ensure study health and client ...

Labcorp seeks a Clinical Data Risk & Solutions Analyst to monitor clinical study laboratory metrics, identify data risks, and develop mitigation strategies. The role involves data analysis, risk assessment, and stakeholder communication across a portfolio of global studies on a rotational shift basis in Bengaluru. Responsibilities ...

... Develop working knowledge of Power BI, Power Apps, Power Automate, Microsoft Copilot, AI-enabled tools, SQL concepts, and advanced Excel to support reporting, data validation, dashboard review, workflow automation, analytics, and process improvement activities. - Share knowledge and best practices with team members on digital ...

A Remote Data Input Clerk is responsible for entering, updating, organizing, and maintaining accurate information in computer systems and databases while working from home. The role involves reviewing documents, verifying data for accuracy, correcting errors, and ensuring that records are properly maintained. Key Responsibilities: ...

... Science, Data Science, Statistics, Engineering, or a related field (preferred).- Prior experience in Retail/CPG domains highly desirable.- Proven track record in Data Science Operations and leading production projects.- Strong experience in managing teams of data scientists and consultants.- Excellent stakeholder management, ...

... Develop working knowledge of Power BI, Power Apps, Power Automate, Microsoft Copilot, AI-enabled tools, SQL concepts, and advanced Excel to support reporting, data validation, dashboard review, workflow automation, analytics, and process improvement activities. - Share knowledge and best practices with team members on digital ...

We are seeking a detail-oriented and reliable CRM Data Cleanup Assistant to help maintain accurate, organized, and up-to-date customer records in our customer relationship management (CRM) system. The ideal candidate is comfortable working with digital records, spreadsheets, and customer databases. This role focuses on ...

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Data Engineer – Incentive Compensation based in India. Join a mission-driven, technology-focused organization where reliable data systems play a critical role in supporting field teams ...

Senior Analyst role focused on HR Operations and employee data management at a healthcare company. The position requires expertise in Workday and pre-payroll processes, with responsibility for data integrity, reporting, and process automation across global HR operations. Responsibilities - Serve as subject matter expert ...

... with at least 3 to 5 years of experience in a global corporate setting. - One (1) to two (2) years minimum of experience in data analytics, data visualizations, data scripting languages: - Experience with SQL and Python - MS Fabric (Data Factory, Power BI with CoPilot, Data Activator, and OneLake) and database integrations ...

... Analytics About the role We are looking for a Marketing Data Analyst to drive insights and reporting for our marketing teams. What you'll do - Analyse marketing data and campaign performance - Build and maintain Tableau dashboards - Provide insights to optimise marketing spend - Collaborate with marketing and data teams - ...

... Limited are not affiliated with, and do not endorse products or services of GitLab. Intermediate Fullstack Engineer - Data Products An overview of this role Data Products integrates GitLab and third-party software development lifecycle data, and builds the dashboards, APIs, and data products that turn it into reliable, ...

... entire spectrum including AI, machine learning, data science, data analysis, reporting and dashboarding. Job Description Job Description ▪ Own and govern the data ingestion and integration architecture for the enterprise data platform. ▪ Define and evolve scalable, reusable, and production-grade data interfaces across all ...

... Snowflake data warehouse and data lake solutions.- Develop data models for reporting, analytics, machine learning and fraud investigations.- Design scalable cloud data solutions using AWS and/or Azure.- Ensure data quality, governance, reliability, monitoring and compliance.- Collaborate with Data Scientists, Fraud Analysts ...

... scalable data platforms and pipelines using Azure Databricks and Microsoft Fabric. - Develop robust ETL/ELT pipelines to ingest, transform, process, and integrate data from multiple sources. - Implement data lakehouse architectures, data modelling, and data transformation frameworks. - Work with Python, PySpark, and SQL to process ...