... expectations are met through disciplined implementation (access controls, lineage, and quality standards) 5+ years building and operating production data pipelines (data engineering—not primarily BI/analytics or data science) - Strong SQL plus strong data modeling skills (dimensional and/or lakehouse modeling) - Hands-on Databricks ...
... Expertise in tools required to execute a data science project - SQL, Python, R, ML algorithms - Expertise in using Cloud solutions(AWS, Azure, etc.) for deploying data science projects - Synthesizing findings and insights through effective story telling through visualization tools such as Power BI /Tableau - Detail-oriented ...
Enterprise Data & AI Solution ArchitectJob SummaryAs an Enterprise Data & AI Solution Architect within Darktrace's TechOps Centre, you will lead the design and evolution of enterprise data, analytics and AI solutions across Darktrace's Microsoft technology https://jobeax.com/link/8eCu4g68SO5sOI6t with business, data, technology, ...
... topic-modeling and trace-clustering approaches (Clio-style summarize-then-embed pipelines, BERTopic, c-TF-IDF) is a strong plus - Proficient in Python and the standard data-science stack (pandas, scikit-learn, statsmodels, numpy) - Data engineering competence — you can design and ship ETL and data models (dbt or equivalent), not ...
... data science activities, supporting your team to deliver quality outcomes. Key responsibilities include: - Leading the design, development, and validation of data science programming solutions for clinical trials. - Collaborating with biostatisticians, data managers, and clinical teams to develop data specifications and ...
DATA SCIENTIST - TIME SERIES FORECASTINGAre you a Data Scientist who loves turning historical data into accurate predictions and actionable business insights?Were looking for a Data Scientist with strong hands-on experience in Time-Series Forecasting, Machine Learning, Python/R and SQL to build forecasting solutions that ...
... candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop data models using generative AI and LLM technologies. Implement retrieval-augmented generation techniques to improve data accessibility. Analyze complex datasets to ...
... highly accurate data entry and data validation professionals to contribute to a project focused on evaluating and improving AI systems. You’ll create realistic data-entry and validation scenarios involving complex datasets, identify and document errors, define correct outcomes, and develop detailed evaluation criteria. The ...
... pipelines Automate workflows for data ingestion, preprocessing, training, validation, and deployment Establish monitoring and alerting systems for model performance, data drift, and infrastructure health Ensure reproducibility, traceability, and compliance with regulatory standards Work closely with data scientists, data engineers, ...
... time-sensitive data https://jobeax.com/link/q6mT8MCfo9RISiNs Responsibilities:- Design, develop, test, and maintain integrations that extract financial and operational data from enterprise source systems.- Analyze source structures and collaborate with Business Analysts to define mappings, transformations, validations, and business ...
... 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 ...
... techniques to NLP, time-series forecasting, classification, regression, clustering, recommendation, or optimization problems. Proven ability to mentor junior data scientists or analysts, provide technical guidance, and establish best practices for machine learning development. Strong cross-functional collaboration skills ...
... transaction-level data modeling, data quality, auditability, data lineage, and production pipeline ownership, preferably within finance, risk, or compliance data https://jobeax.com/link/cZ8zpMXwj45ivho4 Responsibilities : - Own data architecture and system design decisions for data pipelines and data models.- Design and ...
... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...
... high-volume data applications. Who Should Apply This role is suited to data engineers who have practical experience working with large-scale datasets and distributed data systems. You should be comfortable moving between pipeline development, database optimization, data processing, infrastructure reliability, and data governance. ...
... We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Work with data scientists, data analysts, computational engineers, machine learning engineers, software developers, or business representatives across our global organization ...
... organization, with direct involvement in achieving/maintaining the Data & AI (Azure) Solutions Partner designation, and hands-on contribution to passing the Microsoft Data & AI specialization audit.- Strong expertise in Azure Data Lake Storage, Azure Synapse Analytics, Microsoft Fabric, and/or Azure Databricks.- Experience with ...
... Dataflow- Dataproc- BigQuery- AirflowKey Responsibilities :- Design, develop, and optimize endtoend data pipelines using PySpark, Dataflow, and Dataproc- Implement data ingestion, transformation, and loading processes into BigQuery- Orchestrate workflows and schedule jobs with Apache Airflow- Collaborate with data analysts, scientists, ...
Role Overview:We are looking for an experienced Murex Functional / Stress Test Analyst with strong hands-on experience in Murex functional and stress testing, particularly across Back Office (BO) functionality. The ideal candidate should have a strong understanding of Global Markets and financial products, especially Fixed ...
... Understanding of the Salesforce object model, automation capabilities (Flows, Process Builder), and configuration versus customization trade-offs. - Familiarity with data migration, reporting/analytics, or integration patterns such as REST APIs and middleware. - Experience with complex data models, large-scale implementations, ...