Top Remote Data & Analytics Jobs
As a Senior NLP Data Science Researcher, you'll utilize advanced AI techniques to work on novel healthcare projects, focusing on training NLP and LLM models, building Python-based inference pipelines, and conducting data analysis and model validation.
As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.
The General Scientist position involves conducting professional environmental services including consulting, program planning, monitoring, analysis, and compliance assessments. This role requires expertise in various scientific fields and involves research and data analysis, with an emphasis on environmental science and related disciplines.
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The Scientist role involves conducting biological lab and assay development, specifically working with mammalian cell cultures and various molecular and biochemical assays like ELISA and RT-PCR. The candidate will also work with prototype custom equipment as necessary.
As a Senior Data Scientist at RevenueCat, you will create data models, dashboards, and reports to help developers make informed decisions. You'll collaborate with product and data teams to enhance data features, build predictive models, and contribute to the data tech stack, ultimately shipping features that drive customer value.
As a Senior Data Scientist at Oscar, you will develop models and conduct analyses to enhance business operations. Your role involves collaborating with cross-functional teams, maintaining data pipelines, and applying advanced analytics to support Oscar's strategic goals. You may also manage data scientists and interact with business counterparts.
The Senior Data Scientist will develop machine learning models to enhance products and solutions at DICK’S Sporting Goods, conducting data-driven analyses, and providing actionable insights. Responsibilities include advanced analytics, data collection, and improving data strategies to boost business performance.
As a Senior Data Scientist at BEES, you will develop and implement machine learning and deep learning algorithms to solve complex business problems, utilizing cloud platforms for data processing, and collaborating with cross-functional teams to deliver high-quality solutions.
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As a Senior Data Scientist, you will translate complex business questions into quantitative analysis, enable data-driven decisions, and develop visualizations. Responsibilities include aggregating data with SQL, supporting ETL processes, and building dashboards to inform product and operational teams. Strong analytical and communication skills are essential.
The Lead Data Scientist will build and mentor a team, define the technical vision, design advanced search algorithms, develop machine learning models to personalize user experiences, conduct data analysis, and collaborate with product teams to turn business needs into data projects.
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