Top Data Science Jobs
Seeking a VP, Data Science & ML to lead modeling and AI/ML initiatives across the enterprise. Responsibilities include setting strategic direction, managing existing models, collaborating on machine learning platform deployment, and leading a team.
Join Hims & Hers Analytics and Data Science team to engage in data-driven decision making, improve user experience, and contribute to product development. Collaborate with business leaders, marketers, and product teams to drive analytical insights, and leverage machine learning for innovative solutions across the organization.
The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.
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.
The Senior Data Science Engineer will develop, test, and productionize machine learning models, optimize data delivery processes, and build infrastructure for data extraction and analysis. Responsibilities include model performance testing, algorithm improvements, and collaboration with cross-functional teams.
The Senior Data Scientist will analyze resident health and care data to provide insights and feedback, design and maintain algorithms, integrate new datasets, create visualizations, and collaborate with various teams to address business needs using data.
Mentors provide technical support to students by answering queries, reviewing project submissions, and offering personalized feedback while ensuring original work. They maintain a quick response and review time to foster a supportive learning environment.
The Data Scientist will identify valuable data sources, automate collection processes, analyze complex datasets to identify trends, develop databases that optimize statistical efficiency, and help improve team collaboration. Responsibilities include maintaining knowledge of tech trends, assisting teammates, and evaluating new tools.
Featured Jobs
The Applied Data Science Associate program at DataRobot trains individuals to become Customer Facing Data Scientists, focusing on AI solutions for federal customers. Responsibilities include data preparation, model building, application development, and supporting customer engagements through the DataRobot platform after a structured training program.
The Senior Manager, Fraud Risk Data Science will lead the Fraud Risk Data Innovation team, managing data scientists and collaborating on data science projects related to fraud detection and transaction risk. Responsibilities include ownership of predictive modeling projects, designing experiments, and communicating results across teams.
The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.
Manage a team of data scientists and machine learning engineers to develop AI products aimed at enhancing business performance. Translate data science outputs for wider business applications and establish data science capabilities across the organization.
As a Lead Data Scientist in pricing, you will automate the pricing pipeline, innovate pricing models, and collaborate with various departments. You will also mentor junior team members and ensure compliance with regulations in new market expansions.
The Lead Data Scientist at CoinFlip will develop the vision and strategy for data science initiatives, lead a high-performing team, and collaborate across functions to apply data science for business growth and efficiency. Responsibilities include overseeing the full ML/AI development cycle and mentoring team members.
Hiring Basketball Data Scientists to develop machine learning and statistical models for sports betting products. Responsibilities include model development, feature set creation, model performance improvement, and collaboration with teams. Requires a Master's degree, expertise in Probability Theory and Machine Learning, and experience in SQL, Python, and AWS.
The Junior Data Scientist will support a financial regulatory client by developing data pipelines and analytics solutions using programming languages, performing statistical analysis, data manipulation, and creating efficient queries. They will work with stakeholders and teams to develop scalable analytics solutions that meet decision-makers' needs.
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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