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The Senior Applied Scientist at Chewy will design and implement machine learning solutions to enhance the sponsored advertising systems. Responsibilities include collaborating with product and engineering teams, developing new models, mentoring junior scientists, and communicating research insights effectively. The role focuses on improving ad relevance, ranking, prediction models, and driving business impact through data science methodologies.
As a Machine Learning Engineer III at Chewy, you will lead the development of advertising solutions by deploying machine learning and data science to enhance product search, ranking, and prediction models. You will collaborate with product and engineering leaders, mentor junior scientists, and communicate findings to senior leadership, all while building a new Sponsored Advertising business from the ground up.
The Vice President will lead the Global Digital Insights & Analytics for the Oncology business, focusing on Forecasting, Market Research, and Competitive Intelligence. This role involves building global digital capabilities, managing a team of analytics professionals, and collaborating with stakeholders to inform strategic decisions.
The Data Science Director for Product Analytics will lead a team of data scientists and engineers to develop product-related metrics and insights, deliver self-service analytics, and support reporting efforts for executives. Additional responsibilities include building analytics infrastructure and promoting effective data usage across the company.
This role manages a team focused on customer and marketing data analytics, translating business needs into actionable insights. Responsibilities include developing analytic models, prioritizing work, ensuring timely delivery of projects, driving process improvements, and fostering relationships across functions.
The Summer IT & Data Science Intern will support the Tapestry corporate team by leveraging skills in IT, Data Science, and Analytics. They will work within various departments, developing critical skillsets and gaining practical experience during a 10-week internship.
The Senior Applied Scientist will develop innovative advertising solutions using machine learning to enhance shopping experiences and improve product discovery at Chewy. Responsibilities include model development, collaboration with product and engineering teams, publishing research, and mentoring junior scientists.
The Data Science Manager at Garner will develop care navigation algorithms and analytics while managing a team of 4-6 data scientists and analysts. This role will involve leading data science initiatives and ensuring the success of the company’s healthcare mission.
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The Sr Director of Data Science will manage a team of data scientists, translating business challenges into actionable data science projects, ensuring timely delivery and high quality. Responsibilities include team leadership, collaboration with stakeholders, and maintaining knowledge of industry trends and technologies. The role also involves budgeting and forecasting.
As Sr. Director of Data, Analytics, and AI at NinjaTrader, you will lead efforts in data infrastructure, data science, business intelligence, machine learning, and AI. Your role involves managing a team, executing the technical roadmap, ensuring data governance, and fostering collaborations across departments to support data-driven decision-making and enhance user experience.
The Manager Data Science will lead a team of quantitative analysts to solve business problems through advanced analytics and machine learning. Responsibilities include managing team performance, establishing performance metrics, developing analytical frameworks, and presenting insights to leadership. The role involves risk management and continuous improvement of analytics processes.
The Senior Manager of Analytics will manage a team performing advanced analytics, providing insights and recommendations to solve business problems. Responsibilities include conducting quantitative and qualitative analyses, developing team capabilities, and partnering with business leadership to create and implement analytical strategies.
The Data Scientist will contribute to innovative projects in data science, machine learning, and AI across various sectors, engaging with military and civilian customers to apply cutting-edge technologies and algorithms. They will collaborate with diverse teams, mentor peers, and focus on developing frameworks and tools for mission-critical applications.
The Data Scientist will research, prototype, and build AI and data-enabled tools for various space applications. Responsibilities include applying machine learning techniques, collaborating with teams on projects, and contributing to innovations in national security and civil space missions.
As the Sr. Director of Analytics, you will lead analytics initiatives to enhance client media and digital investments, implement frameworks for performance measurement, and guide a team of analytics professionals. Your role includes developing data-driven insights to optimize user experiences and marketing performance, overseeing tagging and tracking implementations, and collaborating with cross-functional teams.
As Sr. Director, Analytics, you will lead analytics initiatives to enhance client media and digital investments, develop strategies for performance measurement, and guide a team to deliver insights that improve user experiences and marketing performance.
The Sr. Director of Analytics will lead analytics initiatives, drive the implementation of frameworks for media and digital investment measurement, and mentor a team of analytics professionals. Responsibilities include developing analytics strategies, overseeing accurate data collection, and providing insights for improved user experiences and marketing performance.
As the Sr. Director of Analytics, you will lead analytics initiatives, drive the implementation of frameworks and performance measurement for client media and digital investments, and guide a team of analytics professionals. Your role includes developing strategies, ensuring accurate data collection, and providing actionable insights to enhance user experience and improve marketing performance.
As the Sr. Director of Analytics, you will lead analytics initiatives to enhance media and digital investment effectiveness. Responsibilities include developing analytics strategies, overseeing data collection and reporting, leading insights generation, and collaborating with cross-functional teams.
As the Sr. Director of Analytics, you will lead analytics initiatives to enhance media and digital investments for clients. Responsibilities include developing analytics strategies, overseeing data collection and reporting, and creating insights from data analysis. You will guide a team and collaborate with various departments to integrate analytics into client strategies.
As a Data Science Associate Consultant at ZS, you will develop advanced algorithms, apply statistical techniques, integrate findings with clients, assess emerging datasets, and mentor junior team members. Your role requires leveraging data analytics to solve complex business challenges.
The Principal Data Science role involves executing analytical initiatives, providing thought leadership on statistical analysis and machine learning, collaborating with cross-functional teams for data analysis, and developing advanced analytics capabilities to solve business problems. The role also includes monitoring performance metrics and delivering insights to leadership.
As a Data Science Associate Consultant, you will develop advanced algorithms, utilize machine learning and statistical techniques, and collaborate with clients to communicate analysis findings. You will also contribute to asset development, thought leadership, and mentor Associate team members.
The Data Science Manager will lead the development of innovative ML-based enterprise products, manage teams of scientists and engineers, and engage with clients to implement AI solutions to complex business problems. Responsibilities include research of AI algorithms, architecting data products, and contributing to company strategy in AI.
As a Data Science Manager, you will lead the development of ML-based products, architect AI data solutions, collaborate with teams to deliver transformative client solutions, and publish thought leadership pieces. Your role includes solving complex business problems and fostering talent within the organization.
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