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The Senior Data Scientist will research, design, and implement data models and algorithms using machine learning and optimization techniques. Responsibilities include scaling ML models on cloud platforms, building data visualizations, collaborating with stakeholders, and delivering analytical insights that drive business performance.
Lead the Data Science team, developing AI models and statistical systems while collaborating with cross-functional teams. Drive research and data strategies that enhance product effectiveness and farmer profitability.
The Senior Data Scientist will design, develop, and implement data analytics solutions for agency challenges, using AI and machine learning techniques to drive risk-based decision making and ensure compliance with grant requirements. Responsibilities include stakeholder engagement, data analysis, and presenting insights.
The Data Scientist will develop and manage machine learning models, optimize advertising products, and enhance the precision of Walmart ads using advanced data systems and machine learning algorithms. Responsibilities include creating inference solutions, building scalable data pipelines, and conducting code reviews within a collaborative environment.
As a Senior Data Scientist, you'll leverage machine learning, deep learning, and big data technologies to build algorithms that analyze vast amounts of data. You'll work on developing personalized models and solutions, collaborating with team members, and adhering to software development best practices while documenting and presenting your work.
The NFL Data Scientist will develop and improve machine learning and statistical models for Swish's sports betting products, analyze model performance, and collaborate with data engineering and product teams. Responsibilities include rigorous experimentation and documenting model development.
As a Senior Data Scientist on the Search Ranking Team, you will analyze large datasets, develop and deploy machine learning models, and work on optimizing product search rankings using algorithms. You will contribute to solving complex problems in e-commerce, focusing on machine learning applications in areas like NLP, computer vision, and predictive modeling.
The Data Scientist will enhance marketing intelligence by optimizing paid media, conducting experiments, and tracking web performance. Responsibilities include marketing analysis, KPI management, user engagement measurement, and employing research methodologies like A/B testing. They will also segment customers, create data visualizations, and present findings clearly to drive business growth.
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As a Graduate Data Scientist I, you will work with engineering teams on the development and deployment of data-focused products. Responsibilities include building forecasting models using deep learning, collaborating on signal collection and monitoring, and supporting product teams to enhance ad inventory quality.
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As a Data Scientist at Coinbase, you will analyze products to provide strategic recommendations, design experiments to assess impact, and maintain key metrics. Collaboration with Product, Engineering, and Design teams is essential to influence product direction and enhance data insights.
The Sr Principal Data Scientist at Alcon will lead efforts in designing and building analytics products using AI and ML technologies to transform digital health solutions. Responsibilities include collaborating with cross-functional teams, architecting data analytics products, mentoring junior staff, and promoting data-driven decision-making practices.
The Lead Data Scientist at HCSC is responsible for using advanced statistical methods to analyze data, construct predictive models, and support data-driven decision-making. This includes designing experiments, integrating data, improving analytic quality, and leading projects while providing strategic directions to the business.
The Senior Data Scientist will architect, design, and implement generative AI models for ASR and TTS applications, leveraging LLMs. Responsibilities include training and optimizing models, collaborating with cross-functional teams, and innovating existing models while staying updated on the latest advancements in generative AI.
The Senior Data Scientist will model complex enterprise problems, utilizing machine learning and statistical techniques to optimize inventory and assortment strategies. The role includes developing and deploying machine learning models on Google Cloud Platform, mentoring junior team members, and collaborating with cross-functional teams to improve data-driven decision-making.
As a Graduate Data Scientist I, you will work closely with engineering teams to develop and implement data-focused products. You will engage in forecasting and inventory-related projects using ML and deep learning techniques. Responsibilities include model development, signal collection, performance monitoring, and collaboration with various teams to improve data-driven decision-making.
As a Data Scientist, you will leverage analytics, data mining, and machine learning to develop predictive models, improve decision systems, and drive business growth. Your responsibilities include data exploration, implementing experiments, and utilizing advanced analytics technologies to enhance customer service and business processes.
The Data Scientist will work on custom software and machine learning solutions, contribute to alignment research and develop classification methods. Responsibilities include managing data science projects, employing statistical methods, using NLP, and collaborating in Agile environments while maintaining strong self-management skills.
Design and build data pipelines to support machine learning systems, develop ETL processes, maintain high-quality data pipelines, design data models, collaborate with stakeholders, and ensure data compliance with regulations.
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As a Senior Data Scientist on the Pricing team at Lyft, you will use optimization and inference to shape business decisions. You'll collaborate with cross-functional teams to uncover opportunities, implement models in production, and establish metrics to measure product health and rider experience.
The Principal Data Scientist will apply AI/ML and analytics expertise to create analytics products in digital health, working with digital product managers, data engineers, and business partners. Responsibilities include designing models, driving actionable insights from data, promoting data-driven decision-making, and mentoring junior team members in a fast-growing digital health team.
The Senior Data Scientist leads data science initiatives in healthcare, developing and implementing complex AI models. This role includes project management from design to deployment, collaboration with teams to ensure project success, and mentoring junior scientists. The position focuses on translating technical findings to actionable insights for stakeholders, optimizing models, and fostering a culture of data-driven innovation.
The Tennis Data Scientist will develop and enhance machine learning and statistical models for predictive sports analytics products. Responsibilities include improving model performance through experimentation, analyzing results to identify weaknesses, and collaborating with other teams for model deployment while documenting work for stakeholders.
As a Data Scientist at Ascend Analytics, you will collaborate with the SmartBidder team to optimize software solutions and conduct data analysis for renewable energy sources. Responsibilities include prototyping machine learning models, enhancing code efficiency, integrating data sources, and communicating with both technical teams and stakeholders.
As a Senior Data Scientist on the Risk and Data Science team, you will develop machine learning models to optimize customer long-term value. Responsibilities include managing risk through statistical techniques, overseeing the entire data science project lifecycle, collaborating with cross-functional teams, and ensuring model governance.
The Data Scientist II will develop predictive models using machine learning principles, prepare and clean data, and utilize cloud resources for data processing. Responsibilities include querying databases, applying data analysis, and visualizing results to support business strategies in a collaborative and fast-paced environment.
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