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As a Senior Data Scientist at Capital One, you will lead in machine learning model development, conduct data analyses to improve customer experiences, and collaborate with engineering teams for implementation. You will be at the forefront of using emerging technologies and analytical techniques to drive business outcomes in a data-centric environment.
The Senior Data Scientist will conduct research and development of machine learning technologies, build customer behavioral models, and operationalize machine learning models in scalable systems. Collaborate with various teams to improve customer experience and business outcomes using data analytics.
Lead the data science team at Bluesight, focusing on building predictive models and data products. Collaborate with product teams to provide actionable insights for hospital pharmacies, improve medication safety, and enhance compliance. The role involves hands-on work with data workflows and coaching team members to optimize performance.
The Senior Data Scientist will develop innovative data science solutions to address complex business problems, deliver end-to-end solutions using advanced ML algorithms on large datasets, and communicate effectively with diverse audiences. The role involves mentorship of junior staff and adherence to ethical practices.
The Manager of Data Science & Analytics will oversee a team focused on developing healthcare data products and predictive models to support medication management initiatives. Responsibilities include leading data teams, enhancing data operations, ensuring data quality, and presenting actionable insights to improve compliance and efficiency for healthcare clients.
As a Senior Data Scientist at Justworks, you will lead analytics projects, conduct in-depth analyses, define KPIs, perform A/B testing, design statistical models, collaborate with cross-functional teams, and communicate findings to drive product success and user engagement.
As a Manager, Data Scientist in Generative AI Systems, you will leverage advanced computing and machine learning technologies to develop generative AI solutions for text, speech, and vision. You'll collaborate with cross-functional teams to train and fine-tune large language models, derive insights from big data, and influence product development. In addition, you’ll contribute research to high-profile NLP conferences.
As a Manager, Data Scientist for Generative AI Systems, you will develop AI-based solutions leveraging natural language processing and machine learning technologies. Your role includes training large language models, collaborating with cross-functional teams, and contributing research to top-tier AI conferences.
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The Senior Director of Data Science will lead a team of data scientists and engineers to innovate advanced measurement products in ad tech. Responsibilities include driving strategy, managing projects, mentoring staff, and collaborating with various teams to deliver data-driven insights and solutions.
The Senior Staff/Principal Scientist will lead a team in developing AI/ML pipelines for analyzing large datasets from cell models, focusing on disease-relevant phenotypic insights. Responsibilities include managing projects, designing experiments, developing multimodal models, and collaborating with various teams. The role requires expertise in machine learning and a strong analytical mindset.
The Senior Data Science Lead at Brillio will develop and implement machine learning models and statistical algorithms, conduct exploratory data analysis to derive insights, lead projects involving collaboration with cross-functional teams, mentor junior data scientists, and ensure robust deployment of models on cloud platforms, while continuously improving model performance post-deployment.
The Senior Manager, Data Science role involves designing and implementing ML and DL algorithms, conducting data analysis, and guiding AI projects. The position includes developing software solutions using NLP, leading data science initiatives across different units, and presenting findings to various audiences.
The Senior Manager, Data Science will develop advanced analytics models to enhance audience segmentation. They will collaborate with marketing teams to translate insights into strategies, manage data processes, and execute A/B testing. Strong analytical skills and knowledge of data science in a marketing context are required.
As the Director of Data Science, you will lead and build a high-performing Data Science team responsible for providing data-driven insights to inform Worldcoin's strategic decisions. You will oversee key metrics, collaborate with various teams, conduct statistical analyses, and innovate data science solutions to enhance operational effectiveness.
The Sr. Fraud Data Science Engineer will develop ML models to detect and predict fraud, automate workflows, and provide data-driven insights. The role involves collaborating with teams to enhance fraud detection capabilities and delivering root cause analysis for scale.
The Data Science Manager will lead and develop a team of data scientists, manage projects, and use advanced data analysis to provide insights. The role requires collaboration with customers to understand their data needs and executing a data science strategy that aligns with business objectives.
As a Sr. Data Science Solution Architect, you will lead the vision and solutions in healthcare data applications, providing technical leadership in machine learning and AI. Collaborate with teams to develop ML models, ensuring data quality and compliance with healthcare regulations, while mentoring others and driving innovation in healthcare workflows.
The role involves leading a data science team to develop and implement predictive models and optimization frameworks to enhance Carvana's marketplace operations. Key tasks include analyzing complex data sets, delivering impactful insights to various departments, and managing trade-offs in inventory and auction strategies.
The Data Science Manager II will lead a team responsible for enhancing marketing strategies and optimizing operational processes through advanced quantitative methods. This role involves collaboration with cross-functional teams and coaching team members to improve performance while driving clarity and alignment in communications.
As Lead Data Scientist at CropX, you will oversee and drive the success of the data science team, develop predictive models, and collaborate with cross-functional teams on innovative data projects. You will also work with senior leadership on AI strategies and research advancements to enhance the company's agronomic platform.
The Data Scientist will analyze large datasets, develop machine learning algorithms, and create statistical models to provide actionable business insights. They will maintain data visualizations and communicate complex results to stakeholders while collaborating with cross-functional teams.
As the Lead Data Scientist, you will establish a data science practice, leveraging data for strategic business decisions, influencing product design and marketing, and driving optimal business outcomes through advanced analytics and machine learning. You will work cross-functionally with various teams to implement data-driven solutions and communicate insights effectively.
As a Senior Research Data Scientist, you will lead the Traceability team, developing models and algorithms to detect cryptocurrency fraud and financial crime. You will collaborate with engineers and research scientists, analyze complex data structures, and research methods to extract insights from blockchain data.
As a Lead Data Scientist at PandaDoc, you'll utilize data science techniques to support key business initiatives. Responsibilities include developing statistical models and machine learning algorithms, conducting in-depth analyses, communicating findings, and enhancing a data-driven culture within the organization.
As a Data Science Tech Lead Manager, you will lead a team of data scientists to enhance AI products for knowledge workers by defining data strategies, managing performance metrics, oversight of experimentation methodologies, and collaborating with cross-functional teams. You will act as a point of contact for high-profile initiatives and present insights to leadership.
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