Data Privacy Analyst. + Standardizes risk-based privacy reporting to ensure the CISO, Executive Leadership and various risk committees are informed of risks to the operation and progress of data privacy efforts.

2 years of AIOps experience - Automating (MLP, Deep Learning, or LLM Models) via cloud data engineering pipelines within Azure Synapse and Databricks. For this Senior Data Scientist role, we're looking for someone with data science and machine learning experience who likes the challenge of breaking new ground.

As a highly motivated, mid-level policy and financial analyst, youll be joining Cadmus rapidly growing practice supporting contracts with EPA and other government clients in the areas of drinking water, water quality, and climate resilience.

We are looking for a Senior Data Architect (Principal Enterprise Architect) to collaborate with different divisions and create a coalition/task force to reverse engineer products and look for inefficiencies.

Experience with data loading tools (Talend, Informatica, Data Factory, ODI) Work closely with data analysts to transform specification into client algorithms (4 Oracle, 2 Snowflake.

10-Key, data entry and balancing on Windows based pc applications. Our FIS Data Control team does branch captures and third-party file processing for over 30 banks for which we reconcile, balance and transmit, transit items, core files, posting files and reports for these banks.

Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam. The Full Stack Senior Data Scientist is a key role in the transformation of business.

We are currently seeking a IT Security Analyst - State Government & Healthcare to join our team in Little Rock, Arkansas (US-AR), United States (US). Working knowledge of cloud security (Azure/AWS) About NTT DATA ServicesNTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas.

Deep understanding of data engineering concepts and technologies, including data warehousing, ETL processes, and cloud platforms (e.g., AWS, Azure, Python, etc.) Strong technical proficiency in data analytics tools and languages and experience with data visualization tools (e.g., Tableau, Power BI.

Deep knowledge of Life Sciences Research and Early Discovery (R&ED ) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab – Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas.

Leading SAP SuccessFactors data migration implementations including from SAP HCM to SAP SuccessFactors; Leading SAP SuccessFactors data migration implementations including from SAP HCM to SAP SuccessFactors.

Data Scientist I: 0 - 2 years in a data analytics role utilizing mathematics and/or machine learning techniques to solve real-world problems. Data Scientist II: 2 - 3+ years in a data analytics role utilizing mathematics and/or machine learning techniques to solve real-world problems.

The Vehicle Health Management (VHM) team within Ford Customer Service Division’s Service Engineering Operations is looking for a highly skilled data scientist to assist in all levels of problem formulation, model development, evaluation, and deployment.

Senior Health Informatics Analyst - Remote. Experience with SAS, SPSS and/or other data mining tools. Performs exploratory data analysis and data mining of healthcare claims and authorizations data.

The Data Engineer Senior will assist the solution architect to design and implement large scale, enterprise-wide data processing solutions, database schemas and interfaces to relational and non-relational databases.