Be a Geospatial Data Scientist with expertise in machine and deep learning for geospatial applications and snow remote sensing as part of the growing Earth Intelligence team. The work involves building applied scientific tools for a number of federal agencies, covering the full project lifecycle. The incumbent will work on multiple projects across federal contracts with agencies including: NASA, NOAA, USGS, and the USACE.
Provide oversight development of datasets ,Generate and/or review of SDTM mapping specifications, annotated CRFs, ADaM specifications, define.XML documents and reviewers’ guides per CDISC and FDA specifications and guidelines. Accountable for oversight of statistical programming deliverables for inhouse and outsourced projects.
Transform, test, deploy, and document data to deliver clean and trustworthy data for analysis to end-users and collaborate with subject matter experts, engineers, and product managers to identify the most elegant and effective data structures. By building the data lakehouse and transforming raw data into meaningful, useful data elements, help bring engineering best practices to the Data team.
Focus will be on analytical tools development, working with engineers and data scientists around the company to improve the usability of the take-up and loan cashflow models. Engage with other stakeholders around Affirm to tailor models to the needs of Merchant Pricing, Credit, Applied Machine Learning, Finance, and other stakeholders. The ideal candidate will have strong analytical and problem solving skills with solid knowledge of analytical tools.
Help improve personalization experiences by integrating and optimizing pioneering generative AI technologies into recommender systems. Join an interdisciplinary team at the forefront of Spotify's technology and help ensure foundational technologies exceed the state of the art, actively redefining the field through published research. You'll participate in groundbreaking research at the intersection of artificial intelligence, machine learning and economics with a focus on large-scale solutions to optimize recommender systems.
In this pivotal role as Senior Data Engineer, you will be responsible for designing, developing, and maintaining robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data (demographics, medical, financial, marketing, etc.) across systems. The ideal candidate will bring deep expertise in Databricks, SQL, and modern data engineering practices.
The Data Science Intern role bridges the gap between data science and software development, offering an opportunity to contribute to the design, training, and deployment of advanced deep learning models. The team’s primary focus is on data classification: categorizing the contents of diverse data sources, including database tables, semi-structured data, and text, to detect data with special security and privacy requirements. The successful applicant will contribute to a central feature of a new workflow automation platform with applications in healthcare, higher education, and beyond. This is a remote position, with occasional in-person meetings.
Interns will learn more about how ALSAC became one of the most trusted nonprofits brands in the industry. ALSAC’s Program offers an immersive experience where interns experience company culture, contribute to organization’s goals through projects, and build relationships with team members and senior leadership. During the summer internship, interns are assigned to a day-to-day manager where they are with provided meaningful assignments.
As a Data Scientist, you will blend analytics, data mining, machine learning, and software engineering to build solutions that will result in massive improvements to the way the company does business. You will be responsible for developing and improving key decision systems and predictive models to drive maximum business impact and develop a profound understanding of customers, business processes, products, and financials by studying the data.
Become a Workday HCM and Data expert with knowledge of design, configuration, testing, and implementation Partner closely with your team and customers to achieve excellence in each phase of your projects Learn to use the Workday tools of iLoad, EIB, Object Transporter, Advanced Load, and Migration Recipe to do tenant to tenant migrations Design and generate data tracking and monitoring tools, and develop reports.