Top Data Science Jobs
As a Staff Data Scientist at Upstart, you will identify and analyze issues with predictive models and their business impacts, present findings to stakeholders, conduct ad hoc analyses, and collaborate with the Machine Learning team to develop and evaluate models. You will also produce clear, well-documented code and play a key role in model performance evaluation.
As a Machine Learning co-op, you'll work on developing and deploying machine learning algorithms to automate administrative clinical practices. You'll be part of an agile team, contributing to feature design, testing, and delivery of ML models, while collaborating with various stakeholders.
As a Senior ML Data Linguist, you will create, label, and evaluate synthetic data for Generative AI projects. You will enhance AI systems' natural language understanding through data preprocessing, language modeling, and collaboration with cross-functional teams, while staying updated on advancements in the field.
The role involves leading the development of operational solutions utilizing Large Language Models for Enterprise Language Generation, collaborating with cross-functional teams to deliver high-quality AI-powered work experiences, and designing scalable systems for AI model deployment.
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As a Clinical Research Scientist, you will design and conduct clinical studies, oversee data analysis, and interpret complex datasets. Your responsibilities will include creating trial protocols, ensuring data integrity through statistical analysis, literature reviews, and contributing to publications and presentations to support clinical development goals.
The Staff Data Science Tech Lead will develop and implement machine learning algorithms using large-scale models to analyze WHOOP data for health and fitness insights. Responsibilities include mentoring junior scientists, collaborating with clinical teams, and maintaining production services in partnership with MLOps engineers.
Manage a team of data scientists and research scientists, focusing on program management, resource allocation, and team development. Oversee execution of data science projects while optimizing team efficiency and fostering a collaborative culture. Communicate project status and manage dependencies across initiatives to ensure success and alignment with business objectives.
The Director of Data Science and Machine Learning will lead the Machine Learning, Data Science, and Product Analytics teams, drive data-powered insights for product performance, and collaborate across departments to optimize business growth. Responsibilities include team leadership, defining strategic vision, fostering collaboration, and overseeing the development of ML and DS models.
The Marketing Scientist role focuses on utilizing advanced marketing analytics and econometric methods for media impact measurement. Responsibilities include collaborating with cross-functional teams to implement data-driven solutions, analyzing complex data, ensuring effective model performance, and communicating insights to stakeholders.
In this role, you will apply advanced statistical and marketing analytics methods to evaluate media impacts, develop marketing models, and provide data-driven insights for business decisions. You'll work with a cross-functional team, leveraging your expertise in media measurement and modeling techniques to drive sales and optimize audience activation.
The Marketing Scientist will leverage marketing analytics methodologies, including Media Mix Modeling and econometrics, to evaluate media impacts and optimize audience activation for sales. This role involves data analysis, model development, and presenting insights to stakeholders to drive data-driven marketing strategies, particularly in the context of the transition to electric vehicles.
The Senior Analyst in Marketing Science & Analytics will enhance marketing measurement systems and provide actionable insights through data analysis. Responsibilities include managing attribution models, collaborating with cross-functional teams, analyzing marketing metrics, maintaining dashboards, and contributing to deep-dive analyses.
The Senior Machine Learning Scientist will lead the development of machine learning algorithms, collaborate with cross-functional teams on data fusion problems, design neural network architectures, manage research projects, and optimize software for performance. They will also stay current on advancements in machine learning and contribute to novel algorithm development.
The Data Science Co-op at Solaria Labs involves supporting various projects related to public health and safety using machine learning techniques. The role includes coding, collaborating with teams, and developing software prototypes, as well as building custom algorithms and insights from data.
As a Staff Data Scientist at ezCater, you will lead the design and implementation of advanced data science models and statistical analysis. You will mentor other data scientists, innovate analytics techniques, conduct A/B testing, and develop predictive models to enhance customer experience and contribute to data-driven decision-making.
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