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The Lead Applied Research Scientist - Responsible AI will develop strategies for creating cutting-edge generative AI capabilities while addressing ethical risks. They will lead projects focusing on AI trust and safety, and work collaboratively with cross-functional teams to ensure responsible AI practices are implemented throughout the development process.
The AI Solution Manager role involves partnering with customers to identify enterprise-level problems solvable by ML applications, leading cross-functional teams to develop AI solutions, and collaborating with sales to expand accounts. The role requires excellent problem-solving, communication skills, and a strong understanding of business operations.
As a Data Scientist at Square, you will apply statistical and machine learning techniques to empower decision-making for the unified point of sale product, collaborate with teams for data-driven strategies, and develop resources for data accessibility.
As a Data Scientist, you will develop complex models for object detection and analyze various data sets to support national security. You will work in a collaborative R&D environment, integrating data from diverse sources, training models, and providing insights to decision-makers.
As an AI Tutor at Alignerr, you will enhance AI models' understanding of data science through teaching, evaluation, and resistance testing. Your responsibilities will include applying statistical methods, guiding machine learning applications, and fostering data ethics in AI. The role requires both technical expertise and a commitment to exploring AI advancements.
As a Senior Data Scientist at Capital One, you will develop and implement AI and machine learning models for customer-facing applications. Your role includes partnering with engineering teams, leveraging various technologies to analyze large data sets, and operationalizing scalable AI solutions. You will also mentor junior team members and translate complex findings into actionable business insights.
As a Data Scientist, you will lead the integration of AI within data collection applications at Morningstar. Responsibilities include automating data collection processes, collaborating with analysts, designing ML/AI solutions, and improving workflows. The role involves strong development skills and requires knowledge in NLP and AI technologies.
The Lead Data Scientist for People & Culture develops predictive models, conducts statistical analysis, and creates data visualizations to help inform organizational decisions. This role collaborates with various stakeholders to enhance HR processes using data-driven insights and stays updated on advancements in data science and analytics.
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The Senior Data Scientist will work with health and care data to provide insights and recommendations, maintaining algorithms, integrating new datasets, and creating data visualizations. Collaboration with operations, sales, and product teams is essential to address business needs through data-driven solutions.
As a Data Scientist II at WHOOP, you will develop algorithms utilizing wearable sensor data to generate insights on health and performance. Collaboration with MLOps, product managers, and other scientists is essential to design, train, and deploy machine learning models that analyze sleep and training information.
As a Senior Data Scientist at Capital One, you will partner with cross-functional teams to deliver AI-powered solutions, leveraging advanced technologies for insights in large data sets. You will build and fine-tune NLP models for customer-facing applications, ensuring scalability and operational effectiveness in a customer-centric environment.
As a Data Scientist II at Chewy, you will develop and implement models to solve complex supply chain issues using optimization and machine learning. Your role includes creating data science frameworks and improving existing processes through advanced analytics while collaborating across various teams.
As a Data Scientist at Twitch, you will enhance product performance measurement, lead analytics methods, and support community safety. Responsibilities include conducting A/B tests, producing reports, and translating product questions into metrics. You'll collaborate closely with product teams to improve community interactions, influence product design, and ensure data-driven decision-making.
The Data Science Lead is responsible for defining and building data assets to track performance metrics for AI-powered products. They will work with engineering, product management, and design to improve key performance indicators and develop quantitative methodologies for performance analysis. The role focuses on user experience and cross-functional collaboration to enhance Glean's AI products.
The Data Scientist will develop analytic solutions for TransUnion's clients in credit, fraud, insurance, and marketing applications. Responsibilities include leading analytic engagements, creating predictive models, and providing insights through data extraction and analysis. The role involves collaboration with cross-functional teams and requires effective communication skills.
Lead and manage a team of data engineers to maintain and grow Valo Health's data engineering platform. Collaborate with multi-functional teams to support drug discovery efforts by driving the evolution of the data platform, ensuring scalability, and promoting best practices in data management and governance.
As a Principal Associate, Data Scientist, you will collaborate with cross-functional teams to design and implement machine learning models, using advanced technologies to analyze large volumes of data and improve customer management decisions.
The Principal Associate, Data Scientist will work with a cross-functional team to build machine learning models that enhance customer management decisions. The role involves model development, deployment, monitoring, and using various technologies to analyze large datasets, aiming to improve user experience and drive business goals.
As an Applied AI Scientist at ZS, you will develop advanced algorithms, execute statistical and data mining techniques on large datasets, evaluate emerging technologies, and contribute to thought leadership through research and publication.
As a Data Scientist, you'll collaborate with cross-functional teams to deliver machine learning models for customer management. Your role will involve building models, leveraging various technologies to analyze data, and translating complex insights into business goals.
The Principal Data Scientist will analyze customer interactions to identify friction points, influence strategy with data-driven insights, develop machine learning models, and nurture a strong Data Science team by providing training and mentoring.
The Data Scientist II at Chewy will develop and implement complex models using machine learning and optimization techniques to improve supply chain operations. They will also design and test data solutions, enhance data quality, and collaborate with cross-functional teams to identify data science opportunities for business improvement.
The Lead Data Scientist will lead model development and team mentorship in the data science team, focusing on search and recommendation products. The role involves applying advanced data science methodologies, collaborating with business partners, and ensuring effective model implementation while managing risks associated with production models.
The Senior Associate, Data Scientist will collaborate with cross-functional teams to develop and implement machine learning models that drive customer management decisions at Capital One. Responsibilities include data analysis, model development, and translating complex data insights into business strategies.
As a Principal Data Scientist at Rokt, you will oversee the health and growth of the marketplace by defining key metrics, conducting market analyses, collaborating with stakeholders to shape strategy, and supporting high-impact product launches.
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