11 jobs found

Tesla is looking for a Software Engineer to join our Systems SW Automation team. This team is focused on testing all system level features (Bluetooth, Wi-Fi, cell connectivity, Audio/Video pipelines, Performance, etc.) that support our user experiences in the Model S, 3, X, Y etc and beyond. You will work with other developers, automation engineers, user experience testers to ensure new features are well built and tested through automation. You will be responsible for developing new framework/features and creating automated tests to cover all new and legacy features. Responsibilities: Develop/build new feature code from scratch. Develop automated test scripts that validate UI/UX functionality specific to maps and navigation. Design and develop cost effective HW test benches to optimize your testing efforts and minimize testing costs. Develop detailed test plans with cases that represent all customer use cases, edge cases and negative test cases. Work closely...

Consistently named one of the top D.C. start-ups to watch since 2016, Quorum builds software that helps public affairs professionals work smarter and move faster. Our philosophy is people-first, whether we're supporting team members in their careers or prioritizing our clients with a best-in-class customer success program. Quorum's clients use our tools to bring a modern approach to advocacy work in Congress, all 50 state legislatures, major U.S. cities, the European Union, and more than a dozen countries. The Backend Software Engineering team develops high quality datasets, operates data pipelines, develops data models, and builds services and APIs to support server-side application logic, monitor for and improve performance and integrate with the front-end. The engineer will collaborate with the rest of the engineering and product teams to design and launch new product features. As a Backend Software Engineer, you will report to an Engineering Manager and work on backend...

About Us Sequoia Climate Fund is a new philanthropy that seeks to decarbonize the world economy at a speed and scale equal to the problem. We support bold strategies and efforts that will have both near-term impact and the greatest probability of long-term success. We believe that solving climate change requires the adoption of ambitious, evidence-based policy solutions that transform markets, advance clean technology, and lead to large‐scale change. Our focus areas include power, transportation, buildings, industry, land use, agriculture and forestry, finance, communications, movement building and public engagement. Sequoia Climate Fund is active in major emitting geographies, including (but not limited to) China, the United States, the European Union, Brazil and India. We are dedicated to building the political will and powerful coalitions needed to achieve these bold policy solutions. Our office and staff are located in Irvine, California. Our Guiding Principles...

The role of the Head of Analytics & Insights/Data Scientist, will be to help us unlock the key insights that will drive our business decisions - not only through analysis coming from the team, but also through the enablement of the right data and clear insights for leaders across the marketing and commercial organizations. RESPONSIBILITIES Analytics & Insights Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover future growth opportunities and business strategies. Manage the process to uncover insights in business operations seeking to increase insight clarity, as well as efficiency in the process of data management Lead our community member analytics supporting the definition of KPIs and targets, and using audience and segmentation strategies to increase our acquisition effectiveness (highest LTV) and foster brand-loyalty In Partnership with the Head...

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...

Data is deeply embedded in the product and engineering culture at Tesla. We rely on data – lots of it – to improve autopilot, to optimize hardware designs, to proactively detect faults, and to optimize load on the electrical grid. We collect data from each of our cars, superchargers, and energy products and use it to make these products better and our customers safer. We're the Fleet Analytics team, a small but fast-growing central team that helps many teams leverage the data we collect. We help engineers through direct support by doing data analysis for them and through applications and tools so they can self-serve those analyses in the future. To do so, we leverage the internal big data platform that is built on top of Kafka, Spark, Presto and data science tools such as Jupyter notebooks, Pandas, Bokeh, Superset and Airflow. We're looking for an experienced engineer to join us. This foundational member will provide leadership in the definition and implementation...

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...

Mercy College seeks a creative data scientist for an exciting new role leading the College’s efforts to create and sustain a culture of data use to support decision making that leads to increased rates of student success. The role requires equal parts technical expertise – using data analytics, business intelligence, statistical modeling, and data mining – and communication skills to transform data into actionable information, generating useful insights in partnership with colleagues across the institution. The selected candidate will be tenacious about finding answers to questions – and coming up with the right questions – that will help to achieve better outcomes and will share Mercy’s commitment to equity and justice for the students and communities we serve. RESPONSIBILITIES: Data Analytics & Institutional Planning Conduct research studies in areas related to the College’s strategic objectives and student learning...

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...