Top Data & Analytics Jobs

As a Senior NLP Data Science Researcher, you will leverage advanced Generative AI and NLP methods for healthcare projects. Your responsibilities include optimizing NLP/LLM models, developing Python-based inference pipelines, and performing data analysis. Strong technical and communication skills are essential as you interact with clients and lead scientific publications.

As a Senior Analyst in Credit Risk Management, you will analyze data to improve credit strategies and policies, develop predictive models, and present actionable insights. You'll work collaboratively with other analysts and stakeholders to enhance risk management and decision-making processes.

As a Principal Associate Data Scientist, you'll lead the development of machine learning models to enhance customer management decisions at Capital One. You will collaborate with engineers and product managers to utilize technologies like Python and AWS to extract insights from large datasets, build and implement models, and ensure a seamless user experience.

As a Data & Analytics Manager, you will work with post sales teams to translate business problems into analytics solutions, build dashboards and visualizations for customer success, apply data science techniques, and communicate insights non-technically. You'll also create prototype data applications to support customer engagement.

Conduct detailed analyses, create Data Science roadmaps, communicate methodologies, work on end-to-end solutions, identify solutions for client problems.

Manage a team of data scientists and machine learning engineers to develop AI products aimed at enhancing business performance. Translate data science outputs for wider business applications and establish data science capabilities across the organization.

The Senior Manager of Checkout Analytics will drive data-driven decision-making by generating insights from large datasets, collaborating with product managers, creating executive-facing dashboards, and mentoring team members. The role involves analyzing merchant product performance, synthesizing data to provide recommendations, and guiding best practices for analytics instrumentation.

As a Data Science Intern at Riot Games, you will collaborate with game design and engineering teams to build data-driven features and services for VALORANT. Your responsibilities include optimizing player experiences using statistical modeling and machine learning techniques, and applying data science systems to live games.

As a Data Science Intern, you will build data products for Riot Games to enhance player experiences in games like League of Legends. Responsibilities include collaboration with game feature teams, designing data products, and applying data science techniques in game development.

Lead a team of data scientists and analysts focusing on creating safety metrics for self-driving vehicles. Responsible for developing metrics strategy, enhancing machine learning models, and ensuring data science best practices. Engage with various stakeholders to drive data-informed decision making in the AV industry.

As a Data Science Manager at League Studio, you will lead a team to drive data science projects focused on enhancing player experiences. Responsibilities include team leadership, project management, stakeholder communication, and ensuring high standards of data science delivery. You will mentor team members and foster a collaborative environment while aligning with organizational goals.

The Data Science Manager will lead a team of Data Analysts within the P&L management team at Lyft, focusing on managing the profit and loss for the Rideshare business. Responsibilities include mentoring the team, analyzing business problems using data analytics, collaborating with Data Scientists and Engineers, and presenting insights to senior leadership to influence investment strategies.

The Data Scientist II at Caterpillar Inc. collaborates with analytics teams to develop data-driven solutions using quantitative methods. Responsibilities include data manipulation and management in a cloud environment, model building with Machine Learning and NLP, and communicating findings through data visualizations and dashboards. The role also involves mentoring junior staff and contributing to the integration and improvement of data pipelines.

As a Senior Manager, Data Scientist at Capital One, you'll lead a cross-functional team to build machine learning models that enhance customer management. You'll utilize a broad tech stack, develop models through all phases, and translate complex data insights into actionable business decisions.

The Staff Software Engineer will lead R&D for data science-powered products, collaborate with engineering and product teams to move concepts to production, and provide technical expertise to stakeholders. Responsibilities include implementing data science solutions and educating team members on using data in marketing.

The Data Scientist will work in a classified environment performing data analytics, data engineering, and statistical analysis. Responsibilities include creating data packages, communicating technical findings, feature extraction from large datasets, and applying various algorithms for text, image, and audio data.

The Modeler role involves developing predictive models using machine learning techniques, presenting analytical results to management, and driving data science solutions. The position requires innovation in modeling techniques and a strong understanding of statistical principles to enhance analytical capabilities.