3,021 data science analytics jobs in India.

... Alerts to detect bugs in the data pipeline. Perform data analysis to test hypothesis and uncover factor influencing metric variations Build Feature Store for Data Science implementations Overall experience of 0-2 yrs. in Advanced Analytics/ Business Intelligence/Data Warehousing Strong Background in Data Transformation ...

• Contract

1600

... scale. We are looking for a Data Analyst to support the Finance and Central Operations organization and help build the data infrastructure, reporting, and analytics that power financial and operational decision-making. This role combines analytics, data engineering, and applied data science, with a strong focus on translating ...

• Full-time

... product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Qualifications For Data Engineer We are looking for a candidate with 3+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, ...

... with cloud platforms (AWS / Azure / GCP).- Familiarity with MLOps tooling and practices (e.g., model versioning, CI/CD for ML, monitoring).- Experience with big data technologies (Spark, Databricks, etc.).- Bachelor's / Master's / PhD in Computer Science, Statistics, Mathematics, or a related quantitative https://jobeax.com/link/sEOksQVqU173JbV8 ...

... data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader.- Ensure data privacy and compliance with relevant regulations (e.g., GDPR) when handling customer data.- Maintain data quality and consistency within the application, addressing ...

... using - Azure Data Factory, Azure Pipelines, Azure DevOps, and Git for version control. - Proven experience working with Azure Databricks and PySpark/Spark for data engineering tasks and Power BI as data analytics work - In-depth knowledge of performance optimization techniques for large-scale data processing, including code ...

Job Summary :The Data Integration Engineer will design, develop, and support data integration solutions that extract financial and operational data from enterprise source systems and deliver trusted data to analytics platforms and external vendors. The role emphasizes source-to-target mapping, transformation, validation, ...

$100 USD

... real payment history, decide whether it's an enforcement problem or a pricing problem, and defend the call with the data. Who You Are: - 2 to 5 years in data science or applied ML with a focus on product analytics, growth, or user behaviour - Strong SQL and real comfort working with large, event-level behavioural data at ...

... analyze large volumes of data. · Conduct research to develop and refine data science methodologies and techniques. Stay abreast of the latest advancements in data science and incorporate them into practice Skills and Experience | Essential: Educational Background: Bachelor’s degree in Data Science, Computer Science, Information ...

... practices across the organizations data https://jobeax.com/link/Rxp61lee69YeFmrt Qualifications :- Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field.- 8+ years of experience in data engineering and architecture, with a proven track record of leading large-scale data initiatives.- ...

... ecosystems.- Exposure to GenAI / AI integration with data platforms.- Experience in domain analytics (Insurance, BFSI, Healthcare).- Familiarity with modern data stack tools (dbt, Python frameworks, Spark).Education : - Bachelor's/Master's in Computer Science, Data Engineering, Information Systems, or related field. (ref:hirist.tech)

... ecosystems.- Exposure to GenAI / AI integration with data platforms.- Experience in domain analytics (Insurance, BFSI, Healthcare).- Familiarity with modern data stack tools (dbt, Python frameworks, Spark).Education : - Bachelor's/Master's in Computer Science, Data Engineering, Information Systems, or related field. (ref:hirist.tech)

... ecosystems.- Exposure to GenAI / AI integration with data platforms.- Experience in domain analytics (Insurance, BFSI, Healthcare).- Familiarity with modern data stack tools (dbt, Python frameworks, Spark).Education : - Bachelor's/Master's in Computer Science, Data Engineering, Information Systems, or related field. (ref:hirist.tech)

... and maintain scalable batch and real-time data pipelines for fraud analytics. Develop and optimize Spark-based data processing frameworks. Implement efficient data ingestion frameworks and integrate multiple data sources. Build and support Snowflake data warehouse and data lake solutions. Develop data models for reporting, ...

• Contract

... communication and stakeholder management skills Why Join? - Work with global teams on large-scale data transformation initiatives - Build modern cloud-native data solutions using Azure & Databricks - Opportunity to contribute to enterprise-wide analytics and data engineering programs Interested candidates can share their ...

... :- Lead a team of data engineers, providing technical guidance and mentorship. - Develop and execute a strategic roadmap for data processing, storage, and analytics in alignment with organizational goals.- Design, implement, and maintain robust data pipelines using Python and Airflow, ensuring efficient data flow and transformation ...

... continuous learning.- Ensure compliance with AI governance and ethical https://jobeax.com/link/NKlt3YnZFxTxA2qx Qualifications : - Bachelors or Masters or Ph.D. in Data Science, Machine Learning, or related field.- 6+ years of experience in data science and AI/ML model development.- Expertise in NLP, deep learning, and advanced ...

... elasticity, competitive dynamics, and business outcomes. - Develop scalable dashboards and reporting solutions to track pricing performance and enable self-serve analytics for commercial teams. Data Science & Decision Support - Utilize advanced data analysis, SQL, and Python to build predictive pricing models, opportunity sizing ...

... Mentor junior data scientists and contribute to team standards around code quality, experimentation, and responsible AI Advanced degree (MS or PhD) in computer science, statistics, mathematics, analytics, or a related quantitative field - 5+ years of applied machine learning experience, including delivering models to production ...

• Remote
• Hybrid

Exp: 6+ years Work Mode: Hybrid (3 days work from office) or Remote can also be provided. Key Responsibilities Design, develop, and maintain robust data pipelines in Hadoop and related ecosystems, ensuring data reliability, scalability, and performance. Implement data ETL processes for batch and streaming analytics requirements. ...