Top Data & Analytics Jobs

The Senior Data Science Manager will lead a team focused on enhancing the ads experience at Reddit by driving data science initiatives, analyzing large datasets for insights, and implementing A/B testing and experimentation strategies. This role involves collaboration with product and engineering teams to shape product strategies based on data-driven decisions.

The Principal Data Scientist will develop machine learning models, analyze customer behavior, and work closely with product and engineering teams to enhance customer experiences. Responsibilities include model evaluation, real-time data analysis, and experimental design to mitigate fraud and anticipate customer needs.

As a Principal Data Scientist at Capital One, you will lead the development of machine learning models to enhance customer experiences and business outcomes. Responsibilities include exploring customer behavior, developing real-time models, validating data accuracy, and collaborating with various teams on data-driven experiments.

As a Senior Data Scientist at Capital One, you will lead projects in machine learning, conduct research on self-supervised learning and transformer models, and build customer behavioral models. You will work with engineering teams to operationalize data science solutions across business units, impacting marketing, servicing, and fraud prevention.

As a Senior Associate Data Scientist in Credit Risk Management, you will work with a team to build tools providing insights on credit loss forecasting models, using machine learning and big data technologies. Your role includes collaborating across teams and translating complex data findings into actionable business goals.

The Principal Data Scientist will leverage machine learning and data analytics to build models that enhance customer experiences and prevent fraud across Capital One's digital products. The role involves collaborating with product and engineering teams to optimize data-driven decision-making.

The Data Annotator role involves labeling and curating data to train and evaluate AI models, including annotating multimodal data and generating educational content. Candidates will work independently on task-based assignments while ensuring the accuracy and quality of their annotations.

The Senior Associate Data Scientist will analyze data to support business goals, conduct deep dives, design tests, and monitor portfolio performance. Responsibilities include collaborating with business partners, managing analytical initiatives, and coaching junior team members while embracing industry trends and advanced analytical techniques.

The Sr. Manager of Data Science at Visa will lead a team of analysts, focusing on applying data-driven solutions to business problems. This role involves collaborating with internal and external partners, extracting and visualizing data insights, developing analytical models, and overseeing multiple data science projects. A key aspect is mentoring team members and staying updated on modern analytic techniques.

As a Principal Data Scientist, you will build and validate machine learning models, analyze customer behavior, and partner with teams to enhance customer experiences. You will utilize statistical modeling and data analysis to ensure accurate customer data and support various business domains.

The role involves leading data analytics projects at PwC, utilizing advanced analytics and machine learning to drive insights and optimize business performance for clients. Responsibilities include mentoring team members, project management, and deploying production-quality models with AI technologies like neural networks and NLP.

As a Data Scientist II, you will develop and enhance predictive machine learning models to optimize delivery estimation, dispatching, and driver pay. Collaborate with cross-functional teams to align ML solutions with business goals while contributing to MLOps excellence and continuously improving key metrics for fulfillment efficiency.

As a Principal Data Scientist at Self Financial, you'll lead efforts in leveraging machine learning and data analytics to develop innovative solutions and models that aid in financial inclusion. Your role will involve feature engineering, collaborating across teams on product development, and establishing data science standards, ultimately impacting millions of customers' financial wellbeing.

As a Senior Data Scientist at Cash App, you will analyze large datasets to derive actionable insights, work on statistical modeling, evaluate A/B experiments, and collaborate with engineering teams on data integration and visualization. Your role focuses on enhancing the advertising growth through data-driven strategies in a fast-paced environment.

As a Data Scientist, you will analyze complex supply chain data, identify trends, and develop predictive models to support strategic business decisions. Responsibilities include data collection, statistical modeling, collaboration with teams, and effective communication of insights to stakeholders.

As a Principal Data Scientist, you will lead the development of AI/ML solutions for personalized recommendations using large datasets, working with a cross-functional team, and applying advanced statistical modeling techniques.

The Principal Data Scientist will lead the Recommendation & Personalization team, leveraging advanced technologies to create AI/ML solutions that enhance customer experiences by providing personalized recommendations across various digital channels. This role involves partnership with cross-functional teams and the development of machine learning models to interpret and derive insights from vast data sets.