... through the company's product suites About The Role We are looking for a Data Scientist to join Mastercard's Economics Institute, reporting to the team lead for Data Systems Engineering. An individual who will: create clear, compelling data visualisations that communicate economic insights to diverse audiences develop reusable ...
Experience : 7+ years of experience in Data Engineering, Data Quality, or Data Governance. 3+ years of experience working on AWS Data Platforms. Strong hands-on expertise in: - Python - SQL - Data Quality Engineering - Data Profiling - Data Validation Frameworks - Experience building AI-powered data quality and governance ...
... production-ready Tableau dashboards. ~ Data Querying (Mandatory): Expert-level command of SQL for data extraction and manipulation. - Proven experience working with data in the Fintech, Banking, or Financial Services sectors. - Soft Skills: Proven ability to engage with non-technical business leaders to understand their data needs ...
... actionable insights, and build scalable analytical workflows.- Design and implement AI-powered applications using LLMs, RAG frameworks, AI Agents, and Prompt Engineering techniques.- Collaborate with stakeholders to understand business requirements and translate them into data-driven solutions.- Mentor junior team members ...
... and acceptance criteria. - Hands-on experience with data validation, reconciliation, source-to-target mapping, UAT, and defect management. - Understanding of data flows, cloud platforms, data repositories, and reporting/visualization layers; experience working with Engineering, Data, Analytics, and Technology teams in Agile ...
... rigorous analyses, testing assumptions and interpreting complex results. Strong data-wrangling and cleaning skills, including working with large or imperfect datasets, resolving quality issues and developing reproducible data pipelines. Strong machine learning experience, including model selection, feature engineering, ...
... components, including Azure Data Lake Storage, Databricks Delta Lake, and Azure DevOps. Develop reusable, modular, and maintainable code following software engineering best practices and coding standard. Optimize application performance, scalability, and reliability for high-volume data processing workloads. Implement automated ...
Project Role: Associate Data Team Lead/Data Team Lead Work Experience: 8+ Years. Work Mode: Hybrid/Homebased Clinical data management, Rave, SSU experience. Shift Timings: 5:00 am -2:00 pm / 2:00 pm – 11:00 pm The shift assignment is purely based on project requirements and the candidate must be open to working in either ...
... Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related field - 0-2 years of experience in data analysis or a relevant internship/project - Strong analytical and problem-solving skills - Proficiency in Microsoft Excel or similar spreadsheet tools - Good ...
... model monitoring approaches - Strong understanding of data engineering and model integration patterns, including working with SQL, batch pipelines, streaming data, APIs, and application services - Familiarity with observability and operational tooling such as Azure Monitor, Application Insights, MLflow tracking, Datadog, ...
... data science and ML, with at least 2 years leading projects or teams in a pharma consulting or client-facing setting. - A Bachelor's or Master's degree in engineering, statistics, mathematics or a relevant quantitative field. - Experience with life sciences data, such as claims (Komodo, IQVIA, Symphony), specialty pharmacy, ...
... components, including Azure Data Lake Storage, Databricks Delta Lake, and Azure DevOps. Develop reusable, modular, and maintainable code following software engineering best practices and coding standard. Optimize application performance, scalability, and reliability for high-volume data processing workloads. Implement automated ...
... management plans and documentation, ensuring compliance with industry standards and regulatory requirements. - Participate in the identification and resolution of data discrepancies and issues, working to streamline data flow and enhance data quality throughout the study lifecycle. - Collaborate closely with cross-functional ...
... opportunity for a Data Scientist to join a new and rapidly growing intraday team. In this role you will partner with our close-knit team of quantitative researchers, data engineers, technologists and data sourcing colleagues to research, engineer, and validate quantitative signals derived from high-frequency equity market data ...
... using advanced statistical techniques and machine learning frameworks. Data Analysis: Conduct thorough data exploration, cleaning, and transformation to prepare datasets for modeling efforts, ensuring high data quality and accuracy. Collaboration: Work with cross-functional teams, including engineering, product management, ...
... capture the most granular data. Align the engineering and product teams on the Data Granularity and accuracy requirements. Build 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 ...
Role OverviewWe are seeking a high-caliber Data Migration Consultant Developer with proven expertise in Guidewire Data Migration methodology and tools . The ideal candidate must hold a Mammoth Certification (Data Migration Track) and bring extensive, hands-on experience in migrating client data from legacy Policy systems ...
... https://jobeax.com/link/MJvWAZuK638tHuBb RESPONSIBILITIES : Tech Stack & Skills : - Experience in model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS is a plus.- Strong experience on Spark with Scala/Python/Java.- Proficiency in building, training, and evaluating state-of-the-art machine ...
... product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage with Engineering & Product when needed. Partner with Account Managers, ...
Responsible for conducting data analysis to extract actionable insights, exploring datasets to uncover patterns and anomalies, analyzing historical data for trend identification and forecasting, investigating data discrepancies, providing user training and support on data analysis tools, communicating findings through compelling ...