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As a Data Science Manager, you will lead a team to develop innovative credit and lending models, enhance financial inclusion, and improve risk assessment. You will drive cross-functional initiatives, manage advanced machine learning projects, and ensure compliance with legal standards while aligning with Chime’s business goals.
The Director of Data Science & Analytics will lead a team to drive strategic insights through data analytics in the Amazon marketplace. Responsibilities include leveraging technology for innovative solutions, optimizing reporting tools, conducting market research, fostering a data-driven culture, and ensuring compliance and data integrity. This role involves collaboration across multiple teams to identify new opportunities and improve business strategies.
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.
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.
Lead Credit and Data Science functions for international markets. Develop risk models, credit policies, and innovative products to enhance customer experience and business growth. Collaborate with teams to adapt strategies based on market-specific data and consumer behavior.
The Director of Data Science and Machine Learning will lead the Machine Learning, Data Science, and Product Analytics teams, drive data-powered insights for product performance, and collaborate across departments to optimize business growth. Responsibilities include team leadership, defining strategic vision, fostering collaboration, and overseeing the development of ML and DS models.
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.
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.
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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 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 a Data Science Co-op at Jellyfish, you will help develop algorithms, create machine learning models, and analyze data to provide insights for engineering teams. You will collaborate with customers and contribute to marketing efforts while exploring applied mathematics and machine learning.
The Data Science Co-op at Solaria Labs involves supporting various projects related to public health and safety using machine learning techniques. The role includes coding, collaborating with teams, and developing software prototypes, as well as building custom algorithms and insights from data.
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 Sr. Scientist will drive data-driven decision-making by applying Data Science techniques, building predictive models, analyzing large datasets, monitoring model effectiveness, and collaborating with cross-functional teams to solve complex business problems.
The Sr. Scientist in the Data Management and Analytics Group will collaborate on a multi-disciplinary team to implement data-driven solutions, develop predictive models, analyze diverse information, and enhance decision-making through advanced analytics strategies.
The Director of Data Science will lead a team to enhance customer and advertiser experiences through machine learning models at Chewy. This involves developing data-driven solutions to improve product selection and optimization while publishing research and mentoring junior team members.
The Staff Data Science Tech Lead will develop and implement machine learning algorithms using large-scale models to analyze WHOOP data for health and fitness insights. Responsibilities include mentoring junior scientists, collaborating with clinical teams, and maintaining production services in partnership with MLOps engineers.
As a Senior Data Science Engineer at DraftKings, you'll drive data science projects from inception to deployment, develop statistical models and machine learning algorithms, collaborate with teams to implement solutions, mentor junior scientists, and innovate content generation approaches to enhance user engagement.
As a Lead Data Science Engineer, you will lead a team to develop and implement machine learning models, enhance search capabilities, and drive impactful projects that create tailored user experiences in the Sportsbook industry.
As a Senior Data Scientist, you will analyze complex business problems using advanced statistical methods and machine learning techniques. Collaborating with various teams, you will develop predictive models, design experiments, and communicate insights to stakeholders to drive revenue for the organization.
The role involves leading and mentoring a team of Data Scientists and UX Researchers, prioritizing impactful research opportunities, developing research strategies, and delivering actionable insights. The manager will also cultivate team culture, present findings to executives, and oversee resource needs and hiring.
As a Data Science Associate Consultant, you will develop advanced algorithms, apply statistical techniques, communicate analysis findings, assess technologies, and mentor junior team members while contributing to the team's thought leadership and client engagements.
As a Data Science Associate Consultant, you will develop advanced algorithms to solve complex problems, apply statistical techniques, and analyze trends. You will work closely with clients and stakeholders to communicate findings, assess new datasets, and contribute to research and mentorship within the team.
As a Data Science Manager, you will lead the development of ML-based enterprise products, architect AI-enabled data solutions, research cutting-edge algorithms, and engage with senior clients. You'll also drive team collaboration in solving complex problems, contribute to thought leadership, and enhance ZS talent through recruiting and training.
Lead the development lifecycle of ML-based products, architect AI-enabled data solutions, engage with client leaders, and foster talent while delivering transformative results in supply chain and manufacturing.
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