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Manage and lead data science initiatives in supply chain optimization, develop and implement advanced models using machine learning and operations research, analyze large datasets to derive insights and propose actionable recommendations, and partner with various supply chain functions.
The Associate Director, Data Science at Chewy will lead the Supply Chain Replenishment Science team in developing models and algorithms for supply chain optimization. Responsibilities include analyzing large datasets, collaborating across functions to enhance supply chain processes, and implementing effective data-driven solutions.
The Director of Data Science - Model Risk will lead a cross-functional team to deliver data-driven insights and machine learning models while ensuring model risk management. Responsibilities include partnering with data scientists, software engineers, and product managers, leveraging technologies to analyze large datasets, and translating complex data work into business decisions.
As a Data Science Manager in the Focused Analytics Solutions Team, you will lead teams of data scientists to develop end-to-end analytical solutions. Responsibilities include guiding project teams, coaching early career talent, and maintaining high standards of excellence. You will also act as a trusted advisor, manage client relationships, and uphold quality control standards.
The Lead Data Science Analyst is responsible for executing analytical initiatives to address business problems using advanced analytics and machine learning. They create reports and dashboards, manage risks, analyze trends related to home loan servicing, and collaborate with partners to deliver insights and recommendations.
As a Senior Data Scientist at Atlassian, you will collaborate with various cross-functional teams to apply quantitative analysis and develop strategies that influence product and business decisions. You will leverage data to identify opportunities, measure product success, and communicate insights effectively.
The Senior Data Science Analyst will execute analytical initiatives by solving business problems using advanced analytics and machine learning techniques. Responsibilities include developing reports and dashboards, managing risk issues, collaborating with partners, and continuously improving work processes.
The Director of Data Science will lead the analytics vision at West Monroe, collaborating with leadership to develop data-driven offerings, manage multi-disciplinary teams, mentor consultants, and enhance relationships with clients and vendors. Responsibilities include practice development, client delivery, and business development to ensure impactful analytical solutions are provided.
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As a Director of Data Science, you will lead a team to leverage data for actionable insights, mentor upcoming data scientists, oversee analytics projects, and engage in business development to identify and secure client opportunities.
As a Manager in the Data Science team at Atlassian, you will leverage data to drive insights about products and customers. Your duties include collaborating on product and business problems, applying quantitative analysis, defining opportunities for product improvements, and managing a team of Data Scientists. You will influence strategy through data-driven insights and help structure your team's growth.
As an Associate Data Scientist, you will develop AI solutions using advanced machine learning techniques, support process improvement, assist in statistical model development, and translate technical findings into actionable insights for clients.
As a Credit Data Scientist, you will lead the development of credit models, collaborate with product managers and engineers, design experiments to validate business hypotheses, and mentor your team. The role involves building innovative products in credit for Southeast Asia's unique market demands.
As a Data Scientist at Cardinal Health's AI CoE, you will lead the development of AI solutions, design advanced machine learning models, guide a team of data scientists, and influence AI strategy in healthcare. Your role will involve leveraging cutting-edge AI technologies to improve patient outcomes and operational efficiency.
The VP of Data and Innovation will lead the initiative to advance the company's data and AI capabilities, manage product development, optimize the data lake strategy, and cultivate a data-driven culture while ensuring data governance and quality across the organization.
The Data Science Manager will provide leadership for Data Science application development, managing analytics teams, developing solutions in healthcare Data Science, and collaborating with product and engineering to drive impactful product development.
As a Senior Data Scientist, you will establish a data-driven culture, define metrics, and implement self-serve dashboards across product, growth, and research teams to enhance decision-making. You will design experiments and analyze their impact on users while communicating findings effectively across functions.
The eDiscovery Associate will apply expertise in forensic data processing, predictive analytics, and technology consulting to enhance case strategies, manage ESI, and mitigate risks throughout the eDiscovery lifecycle. Responsibilities include workflow design, quality control, and collaborative problem-solving with clients.
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As Director of Data Science and AI at Cisco Meraki, you will lead a growing team to apply quantitative methods and develop machine learning models that enhance customer value and drive product development. Your role will involve strategizing AI use cases, overseeing AI/ML solution deployment, and improving data infrastructure in collaboration with various partners across the organization.
As a Senior Data Engineer, you will develop and deploy analytic models, collaborate on analytics solutions, automate data processes, and stay current with Data Engineering trends, all while adhering to data privacy and security standards.
As a Data Science Co-op at Jellyfish, you will develop algorithms to analyze software development practices, contribute to marketing research, learn machine learning model deployment, create analyses for customers, and explore research in computer science and applied mathematics.
As a Data Scientist at Capital One, you will be part of a team focused on leveraging data analytics and machine learning to improve customer experiences in financial services. Your responsibilities include designing and implementing advanced machine learning models, collaborating with cross-functional teams, and utilizing a range of technologies for data analysis.
Lead the development lifecycle of ML-based products, focusing on AI-enabled data solutions for complex business problems. Collaborate with teams of data scientists and engineers, engage with clients, publish thought leadership, and drive AI strategy.
As the Data Science Manager for Marketing at Figma, you'll lead a team of data scientists in delivering insights and building data products that enhance marketing strategies. The role involves hands-on problem solving, fostering a data-driven culture, and collaborating with marketing leaders to establish metrics that assess marketing initiatives effectively.
Lead the end-to-end development and implementation of innovative AI/ML products for complex business challenges. Oversee research and design for new product lines, and solve cross-functional problems while engaging with senior clients and fostering talent within the organization.
As the Senior Director of Data Science, you will lead a group of data scientists, drive the data-informed strategy for Dropbox's new initiative, influence product direction, and build a strong analytical culture. This involves leveraging data to boost revenue and user growth while working closely with various departments.
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