Data Scientist II Salary at The American Association Of Retired Persons BETA

Overview: Lead Data Scientist US Remote Emmes Group: Building a better future for us all. Emmes Group is transforming the future of clinical research, bringing the promise of new medical discovery closer within reach for patients. Emmes Group was founded as Emmes more than 47 years ago, becoming one of the primary clinical research providers to the US government before expanding into public-private partnerships and commercial biopharma. Emmes has built industry leading capabilities in cell and gene therapy, vaccines and infectious diseases, ophthalmology, rare diseases, and neuroscience. We believe the work we do will have a direct impact on patients lives and act accordingly. We strive to build a collaborative culture at the intersection of being a performance and people driven company. Were looking for talented professionals eager to help advance clinical research as we work to embed innovation into the fabric of our company. If you share our motivations and passion in research, come

Description Join the Pattern team in designing and implementing cutting-edge analytic solutions for operational data analysis. You'll work on developing advanced algorithms, building data visualization tools, and collaborating with other teams to enhance our data analysis capabilities. AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization, youll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. The candidate selected must obtain and maintain a security clearance at the TS/SCI with polygraph level. Upon start, the selected candidat

Exploitation Specialist - Data Scientist Skill Level 4-Senior Current TS/SCI Required Current CI POLY required Location: NGA Washington Position responsibilities and duties are: Exploitation Specialist - Data Scientist Primary responsibilities: Lead the design and application of methods to identify, collect, process, and analyze large volumes of data to build and enhance products, processes, and systems. This position will help accelerate the implementation of the NGA Data Strategy and crisis response to the community. Primary skill requirements: Work across the office enhance workflows in addition to create efficiencies that result in greater productivity. Lead projects using advanced mathematical, statistical, and scientific techniques and principles to examine complex missions and operational problems and create insights from data. Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities. App

Description The Bedrock AI Data Team in Amazon Web Services (AWS) is looking for a Language Engineer to collaborate in developing solutions for natural language data collections. This position is an opportunity to apply your expertise in a challenging but supportive environment. We are open to hiring candidates to work out of one of the following locations: The mission of the Bedrock AI Data Team is to engineer the datasets critical to the success of AWSs Bedrock services. From human evaluations to Responsible AI safeguards to Retrieval-Augmented Generation and beyond, these products make Generative AI enterprise-ready and safe for users, impacting millions of people every day. We are a group of language engineers, linguists, data scientists, data engineers, and program managers, and we partner closely with the science, engineering, and product teams. We are customer obsessed and committed to delivering results with the highest quality and integrity. As a Language Engineer, you will st

The Expert Data Scientist (Adobe Practice) will work hands-on with Machine Learning and Big Data technologies within the Adobe Marketing Cloud (e.g., Adobe Journey Analytics) and third-party tools (e.g., Databricks, R) to build scalable machine learning data products and solutions. The Data Scientists responsibilities include collaborating with internal and external stakeholders to identify insight requirements and applying creativity to test hypotheses, prepare data, build models, analyze and visualize results, and integrate the solution into innovative data products. The Data Scientist will be a champion of the latest and greatest Machine Learning and Artificial Intelligence technologies, with a specialization in Generative AI. What you will do: + Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to develop new data products or improve the performance/quality of existing products. + Specialize in building data pipelines

Lead Data Scientist will work to build scalable, production ready machine learning and statistical models to improve healthcare data latency through automation. This role will focus on advanced statistical and machine learning solutions collecting, cleansing, interpreting large volumes of data from varying sources, designing and delivering production ready models, monitoring and maintaining models' health in production, all while communicating key findings with stakeholders. Serve as an expert on quantitative analysis, data mining, and presentation of data. Serve as expert on statistical and mathematical models for distinguishing relevant from irrelevant content or events. Qualifications: Minimum Education Masters's degree in a quantitative/statistical or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). (Required) Doctor of Philosophy (Ph.D.) PhD preferred (Preferred) Minimum Work Experience Requires deep functional knowledge with 10 years of related exper

Overview: Iron EagleX is a veteran owned defense contracting company based in Tampa, FL. It is our mission to provide solutions to the most challenging technical problems facing the Department of Defense while simultaneously making a positive impact on our employees and community. Responsibilities: Job Description: The Senior Data Scientist will be responsible for querying, visualizing, aggregating, correlating, and analyzing big data across intel disciplines. Optimizing existing databases to improve response time. Script in Visual Basic, R, python. Work with ArcGIS, Excel, SPSS, SAS, MatLab, R, etc. to maintain, access, and move data from databases and applications to include: SQL databases, ArcServer, NoSQL databases, Excel, and Tableau. Job Duties Include (but not limited to): Develop methods for querying, visualizing, aggregating, correlating, and analyzing big data across intelligence disciplines. Optimize existing databases to speed up the query, input, export, and visualization

- Cognizant will screen the CV-based quality before we schedule an interview. We will look specifically for quality Natural Language processing Experience (NLP) in more than one project. The CVs should speak for the candidates qualities, technical, functional, and communications. Senior Data Scientist II As a data scientist on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments. You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets including matter and contract repository, invoice/legal spend data and work management. You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators. You will get the experience of working in a start-up culture with the