Top Data & Analytics Jobs
The Engineering Lead Manager, Data Science is responsible for overseeing the research, development, and implementation of ML and data science algorithms within a high-performance environment. This role requires both technical leadership and the ability to drive efficiency in global transaction processing and auction evaluations.
As a Senior Manager in Data Science, you will lead a team of data scientists and machine learning engineers to create and implement AI models and applications that support Walmart's finance department. Responsibilities include model development, managing a team, and collaborating on cross-functional projects to leverage Walmart's extensive data.
As a Data Science Analyst, you will leverage data to drive strategic decisions while developing the Narrative Analytics offering. Responsibilities include utilizing machine learning techniques, conducting data analysis, and collaborating with teams to create narrative-driven data sets that meet customer needs.
The Director of Data Science will oversee AI Insights at Movable Ink, managing a data team and guiding product analytics. Responsibilities include maintaining the internal reporting stack, mentoring client-facing teams, and presenting insights to senior client executives. The role focuses on advancing the Analytics product and driving improvements in the model suite through collaboration.
The Data Science Manager will lead the P2P Analytics team, taking ownership of key initiatives, designing experimentation at scale, and shaping product strategy through deep data insights.
The Senior Manager of Checkout Analytics will lead efforts to identify key business levers, establish causal relationships, and deliver data-driven insights to enhance PayPal's digital payments platform and improve financial services.
Lead a team of data scientists to deliver analytics solutions that positively impact business outcomes. Manage data science projects, implement predictive models, and improve deployed solutions. Ensure effective communication regarding data science methodologies and support project management practices.
The Director of Data Science & AI will lead a team in developing and deploying advanced analytics and AI techniques. Responsibilities include innovation in AI solutions, collaboration with various teams, and effective communication of complex ideas to leadership, ensuring the impactful application of data science in the mortgage industry.
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The Senior Manager of Data Science will lead a team focusing on data-driven insights and product strategies in the AdTech sector, shaping business decisions and developing automated models for operational efficiency.
The Data Science Manager will lead a team of Data Analysts in managing P&L for Lyft's rideshare business. Responsibilities include mentoring team members, providing analytics and insights, partnering with Data Scientists and Engineers, and presenting findings to senior leadership.
The Assistant Professor will teach undergraduate courses in Data Science and Mathematics, engage in research activities with students, and participate actively in departmental and university initiatives.
The Lead Data Science Analyst will manage advanced analytics initiatives, focusing on credit risk and home loans servicing. The role involves developing machine learning algorithms, collaborating cross-functionally to deliver insights, and creating reports and dashboards to monitor metrics. Additionally, the analyst will identify and implement efficiency improvements and continuously enhance their skills through training.
As a Director of Data Science, you will lead and expand the Data Science team, focusing on driving data-driven insights through statistical analyses and collaboration with various departments. Your role involves building high-quality dashboards, defining KPIs, and advising on field experiments to support strategic decisions across the organization.
The Senior Manager, Data Science will lead the personalization analytics team, driving data-backed strategies to enhance Walmart's personalization algorithms and improve item recommendations for customers. Responsibilities include leading product analytics efforts, collaborating with teams, conducting A/B tests, and influencing stakeholders with insights.
The Data Science Lead will define and build data assets, identify improvements for KPIs, and create quantitative frameworks. They will work closely with cross-functional teams to drive user growth, retention, and engagement through data-driven insights, enhancing user experiences and supporting Customer Success Management teams.
The Head of Data Science & Analytics will lead the data science team, manage strategic projects, develop innovative solutions, and collaborate with cross-functional teams to optimize processes and enhance products and services using data-driven strategies.
The facilitator of Data Science at Flatiron School will guide a small class of learners through online coursework, provide feedback on projects, and lead discussions connecting curriculum to real-world applications. They will foster a collaborative learning environment, assessing and guiding students while exemplifying the school's values.
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.
Lead the development of innovative ML-based products, architect AI data solutions, research advanced algorithms, and engage with senior clients to deliver transformative solutions. Oversee hybrid teams in the creation of AI applications and contribute to ZS's talent development and firm strategy.
The Manager of Data Science will harness data science and analytical insights to support brand strategies for the US Commercial team. Responsibilities include developing machine learning models, interfacing with stakeholders, enhancing brand and sales understanding, and driving execution strategies.
The Data Science Director in Model Risk at Capital One will lead a team in using statistical models and advanced technologies. Responsibilities include partnering with data scientists and engineers, building machine learning models, and translating complex analyses into business goals to drive better risk management decisions.
Data Science Manager at Capital One focusing on building customer management valuation models using advanced machine learning solutions. Responsibilities include developing model pipelines, translating solutions into business outcomes, and managing existing model suites.
The Senior Credit Manager / Senior Staff Data Scientist will analyze and evaluate data to develop and propose credit risk strategies and models for various lending products, with a focus on Personal Loans. Responsibilities include implementing underwriting strategies, monitoring portfolio risk trends, and collaborating with cross-functional teams to drive revenue and control risk.
In this role, you'll lead analytical initiatives by employing techniques like machine learning and optimization to address business problems. Responsibilities include managing risks, developing reports and dashboards, collaborating across departments, and delivering presentations on findings to various leadership levels.
As Head of Data Science, you will lead all aspects of data science including statistical methods and data analytics. You will oversee a team of data scientists, manage large complex datasets, and collaborate with product managers and engineering. Your role will enhance data-driven insights to inform decisions and drive product improvements.
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