10 jobs found

The Data Engineer is responsible for planning, development and maintenance of cloud-based data systems ensuring the integrity, security, and availability of company data. Occasional planned travel is required in support of activities and training.  Job Responsibilities: Leading the technical implementation, documentation, monitoring, security and maintenance of a cloud based big data system Collaborate with business and technology stakeholders to understand business requirements and ensure development meets the needs of the company Define and implement data modeling standards and best practices for the system Provide support per request from various staff. Investigate and troubleshoot issues Designs, validates, and modifies integrations using various tools to support integrating with trading partners, third party software, SaaS applications, databases, and internal systems Identifies and assists in developing integration specifications to transfer data between...

Opportunity Finance Network (OFN) is looking for a talented team member to oversee and coordinate the research of the organization, supervise the research staff, lead quality control efforts, and leverage OFN’s CDFI member data and external data to produce valuable reports and publications for multiple audiences: OFN members; OFN’s funders and investors; prospective CDFI funders and investors; government agencies; and policymakers. This is a great opportunity to research, analyze, and produce new reports and publications that will help brighten the spotlight on CDFIs and attract capital – both private and public – into the CDFI industry.  People who work at OFN come from a variety of professional and academic backgrounds. Be a part of our growing diverse, highly committed, skilled, and collaborative staff who are guided by the following values:  Passion for the mission and true believer in our core purpose. Courage to be a fearless...

As a Data Scientist for CIA, you will organize and interpret data to inform U.S. decision-makers, drive successful operations, and shape CIA technology and resource investments. Through CIA’s global mission, the Agency has access to unique and highly specialized data sets. You will work with advanced hardware, software, and techniques to develop computational algorithms and statistical methods that find patterns and relationships in large volumes of data. You will also create scalable, high performance, and repeatable computational solutions which realize their algorithmic approaches. Data Scientists clearly communicate their conclusions to a diverse audience and become experts through Agency-sponsored continuing education, attendance at academic, and technical conferences as well as collaboration with the Intelligence Community. Who You’ll Work With At the Central Intelligence Agency (CIA), we recognize our Nation’s strength comes from the diversity of its...

The Earth Species Project (ESP) is a nonprofit dedicated to decoding animal communication and translating non-human language. We work with biologists and machine learning researchers, including luminaries from Cornell, Imperial College of London, Simons Institute, University of Oxford, MIT, UC Davis, Monterey Bay Aquarium Research Institute, Woods Hole Oceanographic Institute, the Internet Archive, and the Jane Goodall Institute. We have the honor to be supported by some of the world’s most forward-looking philanthropists and groups, including the Internet Archive, and TED Audacious 2020, as a founding member of Project CETI, a seven-year multi-university collaboration. Our work has been the subject of NPR's Invisibilia documentary, “Two Heart Beats a Minute” and “How to Talk to Animals” on Wall Street Journal’s The Future of Everything.   This earth-shot aims to enable every person to more deeply understand our...

This person will play a critical role in improving the data infrastructure to provide an important foundation for building research and knowledge. Well-organized and sound data is essential to the growth of the emerging Research & Knowledge Team at Fountain House as it expands its mission of improving the lives of people living with serious mental illness. REQUIREMENTS Please Note:  This position is currently working remotely, due to Covid-19 and may have an expectation to report to the New York offices on a regular or part-time basis, once we reopen.  ESSENTIAL DUTIES AND RESPONSIBILITIES Maintain & clean various clinical & related care management data systems. Integrate data from different sources. Conduct data analyses. Support the Research Database Administrator with variety of technical/data needs. Develop data management systems & processes to support organization data & analysis requests. Generate data reports with...

The Manager of Content Insights is responsible for business intelligence and data science initiatives at Starz pertaining to Starz content (including original series, licensed series, theatrical titles, and others) and the viewing of that content by Starz subscribers. This role will serve as a change agent in the company – transforming the way the company understands our customers, including how subscribers consume our content and how that content provides value to the business. The Manager of Content Insights will be highly collaborative and work within the Insights & Analytics team and cross-functionally with key stakeholders across various departments, including content, product, distribution, PR, and marketing. This role involves a high degree of technical skill, but also requires clear communication with non-technical colleagues and oversight of one or more analysts and/or senior analysts. The Manager of Content Insights & Analytics must also be able to...

The Insights group at Tyson Foods is transforming an 85-year-old company into the most modern food company in the world, by leveraging Advanced Analytics and Data Science. This data-first approach has enabled data and technology driven decision-making; you might be surprised with the tech we're exploring at Tyson! From AI and reinforcement learning to robotics and automation, what we work on is found on farms, in plants, at our corporate offices, and in the hands of our CEO. We are seeking experienced members to join the Tyson Foods who are passionate about data and applying the latest machine learning and computer vision technology to solve business problems. As a Senior Data Scientist supporting the Data Science and Advanced Analytics team, you will be responsible for leading the development of the models and tools that progress the company along its digital journey. In this role, you will work alongside architects, Data Engineers and the business to identify new ways...

Why Search Discovery? Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. We are committed to creating an incredible place where passionate and determined people can do incredible things. If you love data, like to solve problems, want to work with amazing people, and create new technology — then this is the place for you. Role Overview In this position you will manage the lifecycle of machine learning pipelines on top of large-scale, automated data integration processes, and review quality assurance protocols for the maintenance of such automated processes. You’ll work with industry-leading experts in a collaborative, multi-disciplinary environment and actively build your skills while driving business value at top enterprises to determine the best ways to transform...

As a software engineer on the Autopilot Computer Vision and AI team, you will contribute to one of the most advanced and widely-deployed computer vision stacks in the world. Along with top researchers from academia and some of the most experienced autonomous vehicle engineers in the industry, you will marry cutting-edge deep learning algorithms with robust, real-time software, and deliver safety-critical features to hundreds of thousands of customers. You will develop and support a host of different projects, driven first-and-foremost by our mission to deploy the safest and most effective product in the market. Responsibilities Develop real-time, embedded C++ software to decode, interpret, and assemble the raw neural network outputs into a form consumable by the planning and control stack. You will build and employ a variety of tools for visualizing, debugging, and validating various layers in the vision pipeline. You will compose algorithms, primarily in Python, to...

At Tesla, the use of large datasets to continuously refine our used vehicle valuations plays a critical role in our pursuit of delivering world-class customer experience. As a Data Scientist on the Used Cars team, you will lead the development of predictive models that streamline and automate used vehicle valuation processes, working in close partnership with Product and IT Applications teams. You will collaborate with the North America Sales and Delivery teams to build tools to inform strategic decisions at these business units’ juncture. Responsibilities: Leverage data and rigorous analytical methods to drive strategic decision-making Aggregate data from a variety of sources, identify new sources, and automate collection and processing Design and execute experiments to expedite learning Develop and deploy predictive analytical models Summarize findings and proposed actions to senior leadership Foster a professional, respectful, and welcoming work...