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Data Scientist / Senior Data Scientist (Grid Insights)
GridsightUnited States
Gridsight Job OpportunityGridsight is a rapidly growing Grid/CleanTech startup on a mission to accelerate global electrification and decarbonisation. We are building a vertical SaaS platform for elect
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Associated PressUnited StatesThe Associated Press is an independent global news organization dedicated to factual reporting. Founded in 1846, AP today remains the most trusted source of fast, accurate, unbiased news in all format
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Department Of EnergyUnited StatesData ScientistAs a Data Scientist, you will: Lead the design and implementation of advanced data products, databases, and analytical tools to support oversight and management of EEO programs. Develop
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General Services AdministrationUnited StatesData ScientistWe are currently filling 3 vacancies, but additional vacancies may be filled as needed. Position can be filled in any of the following locations: Washington, DC; Boston, MA; New York, NY
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Applied Network SolutionsUnited StatesData ScientistAt Applied Network Solutions (ANS), we bring together some of the most curious minds in networking and cybersecurity. ANS was founded to disrupt the status quo. For over 20 years, our te
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LexisNexisRaleighThis job is with LexisNexis Legal & Professional®, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter di
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Defense Acquisition Support Services LLCUnited StatesComputer/Data ScientistDefense Acquisition Support Services (DAS) is seeking a Computer/Data Scientist to support our customer at Aberdeen Proving Ground, MD. As a Computer/Data Scientist supporting m
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Data Scientist / Senior Data Scientist (Grid Insights)
- United States
- United States
À propos
Gridsight is a rapidly growing Grid/CleanTech startup on a mission to accelerate global electrification and decarbonisation. We are building a vertical SaaS platform for electricity utilities, enabling them to modernise grid operations and unlock transformational flexibility capabilities such as dynamic operating envelopes and flexible interconnections. Having recently raised our Series A funding from Airtree Ventures, Energy Transition Ventures and Area VC, we are poised for rapid growth and are seeking talented individuals to join us on our mission. Purpose
You will design and develop software and data science products that provide electricity utilities key insights into the state and operation of their grids. Beginning with detection and disaggregation of DER resources, your work will help to build up the picture of how grids can be managed more efficiently and dynamically, paving the way for the connection of more renewables, sooner. Key Accountabilities Design, build, and maintain software products and data science models capable of detecting, characterising or predicting key components, properties and events of electricity grids. Obtain data from disparate sources to inform and support modelling, by performing data discovery and/or developing automated retrieval pipelines as needed Ensure software and model capabilities, coverage and performance align with customer requirements, directly engaging with customers from time to time in order to do so Collaborate with Software Engineers, Data Engineers, and other Product teams to understand data science requirements and translate them into technical solutions Establish and follow data, scientific, MLOps and software engineering best practices including testing, validation, documentation, monitoring, version control and code reviews Contribute to data science strategy and architectural decisions Core Requirements
Experience: 3+ years in data science roles with demonstrable impact. PhD not required, but completion of a doctorate with a relevant focus on data science – especially Bayesian methods – may be counted towards this requirement. Software engineering fundamentals: proficiency in Python or similar language, architecture, system design, version control, testing practices, code review, CI/CD Numerical modelling: mathematical modelling, numerical methods, applied statistics ML modelling: experience developing, training, testing and validating machine learning models, as well as deploying them to production Differentiators
Experience with Bayesian methods (parameter estimation, hierarchical modelling, sampling, etc) Experience with Monte Carlo methods Experience in energy, utilities, or IoT/sensor data domains Experience building data products for customer consumption Experience delivering software/data products to customers, and iterating based on their feedback. Experience discovering and integrating diverse data sources into complex modelling pipelines, both ML and otherwise Experience designing and implementing agentic workflows Experience optimising Python workflows, e.g. via parallel/distributed solutions or development of interfaces to optimised lower-level libraries Experience working in remote or distributed teams Data governance or compliance experience in regulated industries What We Offer
Competitive salary and equity package Remote-first, with head office in Sydney A talented team of engineers, data scientists, and power systems specialists working on hard problems that matter A role with clear growth pathways into product and tooling, or deeper customer ownership
Compétences linguistiques
- English
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