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The AI & GenAI Data Scientist will leverage advanced analytics techniques to extract insights from large datasets, develop and implement AI solutions, and collaborate with clients to model and address complex business problems using AI/GenAI technologies.
As a Data Science Intern, you will work with biologists, chemists, and data scientists to analyze complex multi-omics data. You will receive real-world data to develop creative solutions while collaborating with cross-functional teams. This role requires a strong foundation in statistics, probability, and machine learning, along with programming skills in Python.
As a Data Scientist at Clay, you will drive strategic insights by transforming data into actionable recommendations. You will set up data infrastructure, develop self-serve analytics platforms, design experiments, and champion a data-driven culture while collaborating with both technical and non-technical teams.
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The Practice Manager for Data Science, AI, and ML will lead a team of experts to deliver professional services, ensuring successful customer engagements. Responsibilities include acting as a technical liaison, guiding teams through projects, educating clients on data science solutions, and supporting cloud migrations. The role requires building strong customer relationships and delivering training to ensure client and team knowledge.
As a Senior Associate in AI & GenAI Data Science at PwC, you will leverage advanced analytics to extract insights from large datasets, develop AI solutions, and collaborate with clients on their business challenges. Responsibilities include model development, prompt engineering, and designing AI architectures while managing a global analytics team.
The AI & GenAI Data Scientist will leverage advanced analytical techniques to extract insights from large datasets, develop and implement AI and Generative AI solutions, and collaborate with clients to address their business problems through data-driven decision-making.
The Data Science Graduate role involves analyzing and validating data sets, developing models, and applying data science methodologies to derive actionable insights. The graduate will assist in the enhancement of metadata and contribute to visualizing model insights while supporting analytics solutions.
As a Staff Scientist in Data Science & AI at Helix, you will lead research initiatives in healthcare AI/ML, develop models to analyze genomic and clinical data, and integrate AI solutions into product pipelines. You will also drive the evaluation of emerging ML technologies and contribute to technical direction, including authoring technical papers.
Featured Jobs
As a Data Scientist at Capital One, you will build machine learning models to protect against fraud, partner with cross-functional teams, and leverage technologies like Python and AWS to analyze large datasets and derive insights.
Looking for a Data Science Lead to build data-driven analytics solutions for business processes in areas like customer loyalty and operations. Responsibilities include the development of AI/ML solutions, analytical roadmaps, scalable data science methodologies, and enhancing organizational data competencies.
As a Data Scientist, you will build predictive models for lending decisions, analyze consumer risk behaviors, develop automated reporting dashboards, and collaborate with cross-functional teams to drive insights from data. You'll also support model implementation with software engineers and communicate business strategies to management.
As a Sr. Manager of Data Science in Marketing, you will develop strategies for integrating data science into marketing, optimize budget allocations through media mix modeling, and enhance targeting strategies using advanced analytics. You will lead a team, drive innovation, and collaboratively improve business outcomes through data-driven insights.
As an Associate Data Science Analyst, you will develop technical skills in machine learning systems, analyze datasets, and create innovative solutions to real-world data science use cases. You will work in a close-knit team-oriented environment, contributing to the company's decision-making and customer experience improvements.
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The Associate in Compliance Technology Data Science at Coinbase will be responsible for producing data extracts and metrics via SQL, translating reporting requests, building compliance reports, and managing workload to deliver accurate reports and dashboards.
The FVP of Data Science and Monetization will lead data efforts to drive revenue, enhance customer engagement, and optimize business operations. Responsibilities include developing data strategies, leading teams, collaborating on monetization opportunities, ensuring data quality, and leveraging emerging technologies.
As a Junior Consultant at Ekimetrics, you will work with clients on data analytics and model construction, transforming data insights into strategic recommendations. Responsibilities include data gathering, analysis, and presenting findings directly to C-suite executives, all while gaining mentorship from a team of consultants.
As a Data Engineer at WireWheel, you will design, construct, and deploy data pipelines for extracting operational intelligence using machine learning techniques. You will analyze client data, design algorithms for data management, and develop software systems. Your role involves handling large datasets and enhancing privacy insights from various data sources.
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The Lead Data Scientist at BlueLabs will design and deliver analytics products, manage predictive modeling processes, lead a team, and ensure the quality of data and modeling results. The role requires collaboration across teams to troubleshoot and create solutions while meeting project deadlines.
The Senior Data Science Manager will lead a team to enhance Reddit's advertising platform by driving data science projects, analyzing trends, and creating data-driven strategies. This role involves collaboration with product, engineering, and marketing teams to improve user and advertiser experiences, while fostering a culture of innovation and technical excellence.
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As a Data Scientist at Equifax, you'll analyze complex data sources and develop analytical solutions, collaborate on predictive models, and create AI and ML deployments using Google Cloud Platforms. You will visualize findings for management and work on various analytical tasks across different domains.
As a Principal Data Scientist at Astera Labs, you will develop innovative data collection strategies, apply advanced statistical methods and machine learning algorithms, and architect cloud-native solutions for managing data pipelines. You will collaborate with hardware and software teams to drive data-driven decision-making and establish analytics frameworks.
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As a Staff Data Scientist in the Rider Segment at Lyft, you will utilize analytical skills to influence business decisions, optimize rider experiences, and develop data-driven products. Responsibilities include roadmap driving, partnership with product and engineering teams, applying advanced analytics, and mentoring junior members.
As a Data Scientist II at Valo Health, you will connect data science, tissue engineering, and drug discovery efforts. Responsibilities include developing computational models, data pipelines, and machine learning tools to enhance the understanding of human tissue models. You'll work collaboratively with scientists to analyze datasets and present findings, while ensuring data integrity and aiding in experimental design.
As a Staff Data Scientist at Penn Interactive, you will lead the design and implementation of personalization strategies to enhance user engagement for ESPN Bet. Your responsibilities include collaborating on impactful data science projects and leveraging advanced techniques to drive business solutions, all while ensuring smooth integration with engineering teams and staying updated on trends in data science.
As a Staff Data Analyst at Aurora, you will work cross-functionally with Engineering teams to develop metrics, automate processes, and provide data-driven insights. Your role encompasses designing dashboards and supporting critical validation activities, leveraging extensive data from various test modalities to enhance the Aurora Driver's development and commercialization efforts.
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