10 jobs found

Purpose of role You will join an incredible and global remote team, and will be responsible for developing pioneering research towards decoding and translating non-human communication, including extending unsupervised translation techniques and tackling cornerstone biological and computational problems on large-scale multimodal behavioral datasets. You will work with biology and machine learning experts to create understanding from new scopes and scales of data. Responsibilities Senior AI Research Scientists are responsible for developing and applying techniques in machine learning, bioacoustics, and ethology, disseminating their work in both scientific publications, and collaborating on these efforts with other members of the AI team as well as with external biology partners. In addition to your scientific work, you will be responsible for communicating your results with the team at ESP, as well as with the general public through non-technical publications such as blog...

University of Massachusetts Lowell Business Analyst, Electronic Research Administration – Office of Research Administration General Summary of Position: The Office of Research Administration (ORA) assists faculty and research staff in all aspects of procuring and managing external research funding. The Electronic Research Administration & Data Analytics unit’s Electronic Research Administration Business Analyst reports to the Assistant Director to assist with processes and procedures related to the collection and tracking of university research data.   This position will support the maintenance of ORA’s current electronic research administration and data management systems (e.g., PeopleSoft, Microsoft Power BI applications, Tableau, SAS, Microsoft Access and Sql Server) and the design and implementation of future state electronic research administration (eRA) systems which will support and measure research proposal and award management...

Are you a smart strategy-driven Analyst? EVgo is hiring a Strategic Operations Analyst, to bring robust analysis, strong quantitative skills, and enthusiasm to evaluate and improve network operations and charger performance in support of Asset Management, network planning, cost optimization, and emerging technologies. Leveraging data analysis, financial modeling, and product expertise you will lead decision-making and strategy related to our assets, directly supporting senior leadership. Key responsibilities include and analyzing large data sets, developing insights, presenting recommendations, and leading cross-functional decision-making and implementation. Reporting to the Vice President, Internal Management and Operations, this role is dedicated to the Asset Management team. As a successful candidate, you will bridge multiple functions in the organization to support company leadership and business priorities. collaborate with specialists, engineers, and technicians to...

LIVE, WORK AND PLAY! Chelan County PUD is in the geographical center of Washington State at the confluence of the Columbia and Wenatchee rivers. A public power leader, the complex and progressive nature of PUD operations offer a unique mix of challenges and opportunities. We rely on the mighty Columbia River for much of our hydropower generation and we're proud to take a leadership role in environmental stewardship as related to this great river system. Each year we dedicate millions of dollars and thousands of work hours to protect and enhance fish, wildlife, and plant ecosystems. As part of hydropower operations, we've also built 14 parks that serve more than 3 million visitors each year. Rated by Forbes in 2017 and 2019 as one of the top 25 places to retire, Wenatchee is a recreational paradise with an abundance of adventure. The natural scenic beauty of the Wenatchee Valley provides a vivid backdrop to its thriving economy, where the quality of life is...

The Data Engineer is responsible for processing structured and unstructured data, validating data quality, and developing and supporting data products. We are looking for someone with strong hands on experience in all layers of data Integration and analytics! We especially need experience in using Python as an ETL tool. The Data Engineer plays a significant role in Agile planning, providing advice and guidance, and monitoring emerging technologies. Some of the technology we use: Python SQL Server and MySQL Vertica Kafka Your Role: Design, code, test, correct and document programs and scripts using agreed standards and tools to achieve a well-engineered result Derive an overall strategy of data management, within an established information architecture that supports the development and secure operation of existing and new information and digital services Plan effective data storage, security, sharing and publishing within the organization...

Tesla is seeking a motivated, experienced, and knowledgeable Data Analyst to support Global and Regional Distribution Center operations. You will work cross-functionally with Global Supply Chain, Logistics, Material Planning, Service, Finance, Quality and Facilities to collect, measure, visualize and interpret data; to turn data into information, information into insight and insight into business decisions. Responsibilities: Interpret data, analyze results and provide ongoing reports. Develop and implement databases, data collection systems, data analytics and other strategies that optimize the Distribution Center’s operational effectiveness and efficiency. Acquire data from primary or secondary data sources (including data from 3rd Party partner’s systems) and maintain databases/data systems Identify, analyze, and interpret trends or patterns in complex data sets. Uses data patterns and trends to root cause operational gaps and inefficiency,...

We’re working on making the global financial system programmable. This is one of the largest opportunities for impact in the history of computing, on par with the rise of modern operating systems. The Risk team plays a critical role in the company’s financial health, by enabling the realization of this opportunity while simultaneously controlling risk. What you’ll do Responsibilities Act as an embedded partner to the Risk team, identifying and solving complex and ambiguous questions with data and modeling Plan and execute with partner teams on modeling initiatives to increase accuracy, automation, and explainability Build statistical and machine learning models to measure all aspects of risk Create metrics and dashboards for key performance indicators and deep dive to understand the drivers of those indicators Effectively communicate the outcomes of your analysis to key stakeholders Who you are We’re looking for an...

Work with business and technical teams to develop and support data solution technologies in Data & Analytics portfolio. Understands that enabling customers to use their data effectively unlocks significant business value. Data & Analytics team is working as part of ExxonMobil’s global organization and accelerate high-value, actionable insights through the delivery of state-of-the-art, scalable, enterprise data platforms, data and analytics solutions for our global internal ExxonMobil customers. We are looking for people in our growing team to help the business get actionable insights from their data for competitive advantage. This job role focuses on guiding teams in gathering and transforming data to enable presenting it in a meaningful format. Typical activities include work with customer and project leads on requirements gathering, scope definition, data modeling to support Digital activates while working to provide step change improvements in master and...

The HR Data Architect should be an expert in data analysis, design, deployment, and management of ExxonMobil's data architecture for the HR function globally as well as be an advisor, leader, educator and mentor to other team members and data professionals. The HR Data Architect will be responsible for defining how HR's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different IT application systems and end users. They will define and align data architecture and principles to the overarching enterprise architecture. They will analyze current state data architecture, conceive desired future state data architecture, and identify steps needed to close the gaps between the states. Preferred Knowledge and Skills Strong understanding of database technologies, data governance/MDM/RDM/metadata management, large data structures technologies Strong understanding of conceptual and logical data modeling Basic...