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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 Director of Data Science will lead a team responsible for developing advanced data science methods to enhance ad performance and revenue growth. Responsibilities include managing machine learning models, delivering actionable insights through data analysis, and building relationships with executives. This role emphasizes strategic improvements using data and effective team leadership.
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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.
The Senior Data Scientist will focus on fraud analytics, applying statistical modeling and machine learning to detect fraud in consumer-facing applications. Responsibilities include analyzing large datasets, developing predictive models, and creating real-time monitoring systems to identify and combat fraudulent activities.
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.
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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.
As a Staff Data Scientist at ezCater, you will lead the design and implementation of advanced data science models and statistical analysis. You will mentor other data scientists, innovate analytics techniques, conduct A/B testing, and develop predictive models to enhance customer experience and contribute to data-driven decision-making.
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.
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 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.
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 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 a Senior Applied Scientist at Chewy, you will lead the deployment of machine learning and data science to enhance shopping experiences, develop new models, and influence product and engineering strategies. You will mentor junior scientists and present research findings to business leaders.
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.
Lead the Enablement team at Jellyfish, guiding data scientists and engineers in producing analytics, insights, and tools to inform product and business strategies. Deliver self-serve analytics capabilities, support executive reporting with bespoke analyses, and maintain analytics infrastructure while fostering a culture of data-driven decision-making.
As a Principal Scientist, you will lead the development of advanced software and analytical tools for processing and visualizing complex sensor data, specifically focusing on video analytics and image processing for the Air Force’s missile programs, working within a collaborative team environment.
The Senior Manager, Data Science will lead and grow a team of skilled data scientists, partner with senior leaders to identify business opportunities, and build KPIs. This role involves driving analytics strategy, managing roadmapping and sprint planning, and delivering high-quality analytic insights and data-driven solutions.
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 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.
The role requires leading the Credit and Data Science functions for Empower's international operations, developing risk models and credit policies, and launching innovative products to improve customer financial outcomes. The candidate will lead teams to analyze consumer behaviors and tailor solutions for different markets, contributing to business growth in Latin America and South East Asia.
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