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The Manager of Data Science will lead a team of data scientists to develop and implement machine learning models that enhance subscription services and drive business growth. The role involves managing the full ML lifecycle, collaborating with engineers, providing insights from data analysis, and mentoring the team.
The Staff Data Science Engineer will spearhead data-driven innovations for online grocery delivery at Instacart, focusing on building intelligent systems, enhancing data collection methods, and developing user-friendly tools for data scientists. This role requires strategic collaboration across teams, prioritizing various data initiatives, and implementing complex technical solutions that impact multiple facets of the business.
The AHL Fellowship Program is a five-week summer opportunity for undergraduate sophomores, focusing on financial services. Fellows will gain insights from senior leaders, participate in training, and work on a curriculum-based project aimed at professional development and potential future employment with JPMorgan Chase.
The ABP Fellowship is a five-week paid summer program designed for undergraduate sophomores to explore career opportunities in financial services. Fellows will engage in learning, mentorship, and a project-based curriculum. Successful completion may lead to a 2026 Summer Internship offer.
Senior Manager, Data Science role at a Fortune 200 company specializing in data-driven decision-making. Responsibilities include leading a team to deliver customer-centric products using machine learning technologies and collaborating with cross-functional teams. Ideal candidate is customer-focused, a leader, technically skilled, and proficient in big data analysis.
The Manager of Data Science will lead a team in developing econometric loss models and predictive analytics that inform strategic decision-making in consumer credit risk management. The role involves optimizing and deploying machine learning models, leveraging extensive data to drive insights and growth opportunities, while collaborating across teams to deliver valuable products.
The Director of Data Science will lead a high-performing team to implement innovative analytics approaches, focusing on machine learning and predictive modeling to optimize human resources functions. They will collaborate with various stakeholders to enhance data governance, develop data science strategies, and align HR data sources with organizational needs.
Lead and execute data strategies across Roblox's Creator, Studio, and Engine ecosystems, focusing on enhancing tools, optimizing performance, and integrating advanced technologies like LLM and Generative AI. Collaborate with cross-functional teams to drive product innovation and improve the creator experience.
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As a Manager of Data Science in Marketing and Valuations, you will lead a team in developing advanced machine learning models to improve marketing efficiency and drive account growth. You will ensure the models perform well under various economic conditions and translate business goals into data science solutions.
The Director of Data Science will leverage a wide array of technologies to build and implement machine learning models, collaborating with a team to drive improvements in decision-making and risk management. They will also engage in talent development and lead innovative solutions in the Model Risk Office.
As a Director of Data Science at Capital One, you will lead a team focusing on model risk, utilizing your expertise in statistics and software engineering to drive decisions in risk management. You will leverage cloud technologies and machine learning to develop models, and work cross-functionally with various teams to deliver value to customers.
As a Manager of Data Science, you'll lead initiatives to enhance code quality and standards. You will present progress to stakeholders, evaluate machine learning pipelines, and optimize software tools for better data insights. The role emphasizes teaching best practices in software development to the team.
The Data Science Manager at Capital One will be responsible for building customer management valuation models using advanced machine learning solutions. They will work closely with cross-functional teams to deliver impactful business outcomes.
The Data Science Manager at Capital One's US Card team will lead the development of advanced machine learning solutions for customer management valuation. Responsibilities include applying machine learning algorithms, connecting data science solutions with business outcomes, and managing existing model suites. The ideal candidate should have strong software engineering skills, proficiency in machine learning algorithms, and the ability to communicate technical details effectively.
Lead a team of data scientists to solve complex business problems in financial crime compliance using AI/ML techniques, collaborating with stakeholders to drive data-led transformations and communicate solutions effectively.
The Vice President - Data Science Lead will analyze large-scale workforce data and create statistical and data science models to address employee-related business questions. Responsibilities include designing analytics models, collaborating with technology teams, communicating insights, and developing automated solutions while adhering to data protection policies.
As a Staff Data Scientist, you'll design and implement new features, mentor team members, and collaborate with engineers to create data-driven solutions. This role involves developing machine learning models, working with structured and unstructured data, and communicating insights to stakeholders while promoting best practices in data science.
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.
As a Sr Manager of Data Science, you will lead a team to develop and execute data science projects, employing analytics to enhance customer experiences and drive product innovations in retail technology. Your role will involve collaboration with various stakeholders, establishing product visions, and analyzing data to generate actionable insights.
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.
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.
As a Data Science Associate, you will develop AI-driven models for cost insights, create data pipelines and dashboards using Snowflake, Python, and Tableau, and contribute to automation and optimization of business processes. You will also monitor AI model performance to enhance decision-making and support agile data-driven teams.
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 AI Tutor at Alignerr, you will enhance AI models' understanding of data science through teaching, evaluation, and resistance testing. Your responsibilities will include applying statistical methods, guiding machine learning applications, and fostering data ethics in AI. The role requires both technical expertise and a commitment to exploring AI advancements.
The Lead Data Scientist for People & Culture develops predictive models, conducts statistical analysis, and creates data visualizations to help inform organizational decisions. This role collaborates with various stakeholders to enhance HR processes using data-driven insights and stays updated on advancements in data science and analytics.
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