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Lemonade AI Data Scientist Telematics United States, Oregon
Process raw data to generate groundbreaking telematics features for various applications. Build and deploy predictive models that integrate telematics data into our business processes. Develop and maintain robust pipelines, ensuring...
Develop mathematical models to predict critical metrics from large data sets. Build a pipeline to read text data from BKMs and summarize based on predefined rule sets. Design SW applications...
Use data science and machine learning to solve complex, multidisciplinary challenges in applied research and turn technology know-how into execution in a dynamic business environment. Develop algorithms and models in...
DESCRIPTIONKey job responsibilitiesCollaborate with cross functional teams to identify requirements for ML model development, focusing on enhancing mission understanding through innovative AI techniques, including retrieval Augmented Generation or LLM in...
DESCRIPTIONIn this role you will influence our team’s science and business strategy with your analyses. You will be expected to identify and solve ambiguous problems and science deficiencies, and to...
BASIC QUALIFICATIONS 2+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+...
DESCRIPTIONKey job responsibilities* Apply science models to extract actionable information from learning feedback* Leverage GenAI/Large Language Model (LLM) technology for scaling and automating learning experience workflows* Design and implement metrics...
Process raw data to generate groundbreaking telematics features for various applications. Build and deploy predictive models that integrate telematics data into our business processes. Develop and maintain robust pipelines, ensuring...
The analytical scientist role has become increasingly important to the tech industry, as data-driven insights have often become the foundation for innovation and success. An analytical scientist is responsible for collecting and analyzing data to help inform and create decisions within organizations. Working in the tech industry, a qualified analytical scientist should possess a focused understanding of data science and a passion for developing strategies to help improve the accuracy of data-driven initiatives.
At its core, an analytical scientist should be passionate about understanding complex data sets to uncover meaningful relationships and insights. A strong background in mathematics, statistics, and computer science are essential for success in the role, as analytical scientists must be adept at presenting detailed data analytics in an understandable manner.
Analytical scientists must also be creative problem-solvers and have the capacity to think critically in order to make correlations from data sets. Additionally, technical proficiency with programming languages such as Python, SQL, and Java is necessary, as well as knowledge of data visualization tools and machine learning.
Finally, excellent communication skills are important for an analytical scientist, as the job often involves working with business executives and teams. In other words, the successful analytical scientist should possess the necessary technical skills, as well as the ability to converse effectively and influence decision makers.
At Expoint, the quality of an analytical scientist is not only a priority, but is a necessity. We believe the role of an analytical scientist is of utmost importance to the success of a tech organization, and therefore, strive to bring the right analytical scientists on board. We're committed to using our platform to find the perfect fit for analytical scientists who wish to further their career in the tech industry.