... and track Provider Credentialing documents and data in processing systems and shared spreadsheets. Monitor faxes, files and other sources of incoming Provider data notifications to ensure that Provider credentialing data is processed in a timely manner. Communicate with providers to obtain updated documents as needed during ...
... (LDD)—and extending them into a standalone, buildable database structure. Traditional 'UI-first' database design is strictly banned; instead, you will engineer databases backward, starting exclusively from the defined End Document (ED) and reverse-engineering step-by-step to the Source Document (SD). Document Database Schemas ...
... Python,Scala,SQL. Good to Have Skills: - Any of these add-on skills - Graph Database Modelling, Ontology, Semantic Data Modeling - Preferred understanding of Data Analytics on Cloud landscape and Data Lake knowledge. - Cloud Data Engineering, Cloud Data Integration - Must be familiar with Data Architecture Principles. Professional ...
... within our global organization. Day-to-day, you’ll work closely with teams across engineering, IT operations, and manufacturing, while also managing critical data activities, performing data analysis and cleansing, and supporting key users worldwide. You’ll specifically take care of maintaining master data governance and ...
... codes for diagnoses, procedures, and services. The role requires maintaining compliance with healthcare regulations, reviewing charts, and ensuring accuracy in data entry to support billing and reporting processes. Collaboration with healthcare professionals and maintaining confidentiality are key components of this position. ...
... Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or related field. - Proven experience with SQL queries, database management, and data manipulation. - Hands-on experience with Power BI for creating dashboards, visualizations, and reports. - Basic understanding of data modeling and data warehousing ...
... ownership, OR - 2-3 years as Data/Backend Engineer with PM work (PRDs, roadmaps, user research) Technical Stack Depth Deep understanding: ETL/ELT pipelines, data warehousing, data lakes/lakehouses Advanced SQL (query optimization, not just SELECT statements) Hands-on with ONE of: Hive/Spark/Hadoop/HDFS, Snowflake/Databricks/BigQuery, ...
... LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, ...
... supervised, unsupervised, and reinforcement learning methods where relevant.- Time Series Analysis : Conduct forecasting and trend analysis for marketing and sales data.- Leadership : Mentor junior data scientists, set modeling standards, and ensure delivery excellence.- Collaboration : Work closely with marketing, product, and ...
... candidate-screening and interviewing skills Ability to work independently from home Reliable internet connection and professional work-from-home setup Strong computer and data-entry skills Good knowledge of recruiting processes and candidate sourcing Strong work ethic and consistent attendance Ability to meet measurable productivity ...
... airports, infrastructure and border checkpoints. It brings all security operation information together onto a single, integrated and secure platform to achieve 100% data inspection of all cases. Using insights produced through machine learning, artificial intelligence (AI) and data science, our platform enables people to make ...
... cloud-native data services: Data lakes, data warehouses, and analytics services Identity and access management for data systems Data & Analytics Understanding of data governance and security principles Experience with data quality frameworks and monitoring Knowledge of dimensional modeling and data warehouse design Familiarity ...
... US product and analytics team. Build statistical and ML models to create, expand, and score audience segments from survey, panel, purchase, and media-exposure data Lead data fusion work, combining deterministic and probabilistic sources into one representative consumer view while correcting for bias Partner with ML Engineering ...
... fund data and technology. We are proud of our vast, diverse, and highly skilled team, who help to make our industry Better Connected and Better Informed. As a Data Analyst you will play a key role in delivering accurate mutual fund data. You'll work with a global team, gain exposure to financial data processes, and grow ...
... generating reports Researching and resolving discrepancies between purchase orders, receiving reports, and invoices Reconciling credit card receipts and payments Data Entry Qualifications - Bachelor's degree in Business, Commerce, or a related field - 2+ years of proven experience working with QuickBooks - Prior experience ...
... support Oracle-to-Apache Cassandra data migration activities, ensuring data integrity, consistency, and minimal disruption to business services. Own the Cassandra data-layer architecture and design supporting high-volume, real-time payment transaction processing. Take end-to-end responsibility for keyspace design, data modelling, ...
... generative AI and LLM-based solutions using enterprise business data, knowledge graphs, business process intelligence, and other structured and unstructured data assets. - Leverage SAP's deep data and process context including SAP data models, metadata structures, and business process semantics across Order-to-Cash, Procure-to-Pay, ...
... 7+ years of experience in an administrative / executive assistant role, ideally within financial services. - High attention to detail and accuracy, including data entry and record keeping. - Proficiency in Microsoft Office Suite (Word, Excel and Outlook). - Experience with Concur or similar expense systems beneficial. - ...
... techniques, and perform data mining using state-of-the-art methods. Extend the company's data infrastructure with third-party sources of information and enhance data collection procedures to include all data relevant for building robust analytic systems. Data Quality Assurance: Analysis & Automation: Perform ad-hoc analysis, ...