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The Staff Data Scientist will develop and deploy advanced statistical and machine learning models, focusing on forecasting and optimization to drive business growth. Collaborating with cross-functional teams, they will analyze complex datasets, conduct A/B testing, and communicate findings to support strategic decision-making.
The Senior Data Scientist will develop personalized recommendation models using advanced techniques in computer vision and machine learning, collaborate with engineers to optimize data pipelines, and communicate insights to stakeholders, enhancing the customer experience and driving sales growth.
The role involves leading the design, implementation, and maintenance of data collecting systems, such as data pipelines and lakes. It includes collaborating with data scientists on machine learning models and advising leadership on strategies and solutions based on data analysis.
The Senior Data Scientist role involves identifying data sources, developing and deploying analytical models, coding, conducting data quality checks, and creating visualizations. It requires a solid understanding of the business domain, strong coding skills, and the ability to mentor junior associates. The role emphasizes delivering data-driven insights to enhance business performance and strategic decision-making.
As a Data Scientist at Horizontal Digital, you will develop algorithms and predictive models to solve business challenges for Salesforce, enhance CRM applications, and create valuable insights through data analysis and visualization. You will design data models and manage data as a product while collaborating with various teams to deliver analytics and dashboards.
The Staff Data Scientist will develop and validate predictive models using advanced machine learning techniques to facilitate fraud detection. This role involves conducting research on emerging modeling technologies, improving processes through MLOps, and collaborating with cross-functional teams to deploy models. Additionally, the role requires managing model risks and conducting analytical analyses for client inquiries.
As a Mid-Level Data Scientist at GliaCell, you will provide technical expertise for sustaining mission-critical software and systems for a U.S. Government contract, focusing on adversary defeat, mission management, and data visualization.
As a Data Scientist III, you'll develop advanced models to optimize Product Search systems at Walmart. Collaborating with teams, you will design, train, and deploy ML models, conduct testing, and apply cutting-edge research to enhance customer experience. You'll also communicate findings and may publish research findings.
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As a Senior Data Scientist at Independence American Insurance Company, you will research, design, and implement data models and algorithms for analyzing diverse datasets. Your role includes developing software and automated processes for data cleansing and integration, designing predictive models, and analyzing experimental results. Collaboration with product and service teams is key to identify data-driven questions and optimize outcomes.
As a Senior Data Scientist at Walmart, you'll develop data-driven solutions for digital marketing, create and manage model serving solutions, construct GenAI infrastructure, and build scalable data pipelines. You'll collaborate with a diverse team, engage in code reviews, and utilize various machine learning frameworks and tools for lifecycle support and optimization.
As a Data Scientist, you will build and train AI applications, collaborate with teams globally, develop learning algorithms, and visualize data insights. A strong background in statistical modeling and experience with machine learning tools is essential.
The Staff Data Scientist will lead full-stack development of scoring services, RESTful APIs, and container-based services. Responsibilities include developing software using machine learning technologies, ensuring service reliability and security, and mentoring team members. The role requires collaboration with various teams to architect scalable solutions in a hybrid work environment.
The Senior Data Scientist at Walmart will develop and implement new machine learning ranking algorithms, conduct statistical analysis for search evaluations, write production code in Java, and analyze model performance to enhance the eCommerce user search experience.
As a Senior Data Scientist at Coinbase, you'll analyze complex business problems, guide data metrics, and manage data visualizations. You'll also conduct rigorous experiments, collaborate with cross-functional teams to influence product decisions, and drive impactful projects in the evolving crypto landscape.
The Staff Data Scientist will develop advanced AI models focusing on large language models and Generative AI. This role involves leading data science initiatives, collaborating with interdisciplinary teams, and enhancing AI-driven interactions and personalization for impactful user experiences.
The Senior Data Scientist will develop and deploy lead scoring and recommendations models to increase sales call conversion rates, work with business stakeholders to prioritize data modeling projects, establish best practices for model performance evaluation, mentor team members on ML projects, and guide data modeling needs for machine learning systems.
As a Data Scientist with EverBright, you will develop machine learning models, analyze data quality, and optimize VPP dispatch. You will also work with distributed computing platforms and contribute code to product development teams.
The Data Scientist will focus on developing, deploying, and improving data science products within the Data Utility Office, utilizing machine learning and AI to add value to internal Federal Reserve functions. Responsibilities include maintaining operational ML/AI, enhancing data models, and collaborating with teams to create new machine learning features.
As a Staff Data Scientist, you will design and implement advanced machine learning models and data pipelines for programmatic advertising. Your role includes conducting applied research, developing evaluation frameworks, collaborating with cross-functional teams, and driving innovation to enhance performance and meet business objectives.
As a Staff Data Scientist at Octane, you will lead projects in areas such as lead generation models, credit risk analytics, and fraud detection. You will leverage advanced machine learning techniques throughout the model lifecycle, from development to deployment, while mentoring junior team members and collaborating with business stakeholders to enhance decision-making with data insights.
The Integrative Data Scientist will analyze chemical and biological data to generate hypotheses for drug discovery. Responsibilities include formulating hypotheses, developing analytic methods, recommending experiments, and effectively communicating results between experimental and computational teams.
The Staff Data Scientist will develop advanced models for Product Search at Walmart, leveraging AI, ML, and various algorithms. Responsibilities include collaborating with teams to deploy machine learning models, conducting A/B testing, mentoring junior data scientists, and integrating cutting-edge research into scalable infrastructures.
As a Data Scientist at Slack, you will analyze data to drive business growth, present insights to senior leadership, develop predictive models, and collaborate with various teams to improve operational efficiency.
The Sr. Data Scientist will lead analytical projects focusing on predictive modeling and consumer behavior analysis within Visa. Key responsibilities include developing risk models, automating analyses, and collaborating with stakeholders. The role requires significant expertise in big data and machine learning techniques, plus the ability to present findings to non-technical audiences.
The Staff Data Scientist will lead advanced analytics initiatives for Data Solutions and Media Measurement, developing statistical models and machine learning algorithms. Responsibilities include collaborating with teams to automate measurement methodologies, mentoring other data scientists, managing projects, and communicating insights effectively.
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