Top Data & Analytics Jobs

The Senior Data Scientist II will generate actionable insights to improve recommendations for members, analyze productionized ML models, and design experiments. The role requires a deep understanding of predictive analytics, SQL, and proficiency in Python for data manipulation and model building.

The Data Scientist Lead will translate business problems into advanced analytical solutions using machine learning, statistical models, and optimization techniques. This role involves collaboration with engineering partners, managing model risk, and maintaining a library of reusable algorithms. The individual will lead analytics projects, guide team members, and communicate insights effectively to business stakeholders.

As a Senior Data Scientist, you will derive insights from large health datasets and develop AI tools for medication management. Your responsibilities include creating predictive models, assessing program impacts, and presenting findings to stakeholders.

As a Senior Data Scientist at RVO Health, you'll design, implement, and maintain recommendation systems while collaborating with business stakeholders. You will focus on model development, optimization, and effective communication of complex data science concepts, contributing to decision-making and project execution in a hybrid work environment.

Join The Hartford as a Data Scientist, working within a multidisciplinary team to enhance actuarial processes through statistical modeling and machine learning. Responsibilities include designing and deploying loss models, collaborating with cross-functional teams, and communicating insights effectively. Candidates should have relevant experience and strong analytical skills.

As a Data Architect, you'll develop datasets for data visualization and machine learning while working with structured and unstructured data. Responsibilities include automating data pipelines, building data ingestion frameworks using Data Bricks and Apache Spark, and collaborating with stakeholders to deliver data products.

The Senior Data Scientist will lead the development of data models and algorithms to solve business problems within the Perception team. Responsibilities include optimizing data strategies, improving scalable pipelines, deploying machine learning solutions, and presenting insights to stakeholders while staying updated on advancements in the field.

The Data Scientist analyzes large datasets to extract insights, develops statistical models for marketing strategies, and collaborates with teams to optimize marketing efforts. Responsibilities include creating, enhancing, and standardizing models to support effective marketing decision-making.

The Senior Data Scientist at Harvard Business Publishing will develop data-driven features, conduct research and build machine learning models to enhance edtech and media products, support strategic decision-making, and collaborate with engineering teams on a customer-facing chatbot and other data initiatives.

The Sr. Data Scientist deploys data-driven explorations and predictive models to address business challenges, conducts experiments to refine product ideas, and maintains analytics models. This role also involves technical guidance in data science techniques to generate actionable insights and enhance the firm's analytics capabilities.

Lead Data Scientist responsible for developing and implementing quantitative solutions to prevent identity theft and fraud at USAA. Partner with internal teams to deploy machine learning models and graph analytics techniques. Work on financial crimes graph database strategy, identify criminal networks engaging in fraud, and integrate new data sources for improved predictive power.

As a Data Scientist at PayPal, you will analyze complex datasets to enhance developer experience with PayPal's products. Your role involves using statistical methods to identify friction points in the developer journey and recommending data-driven product improvements, while collaborating with cross-functional teams.

Lead Data Scientist role focusing on evolving the business into an insights-driven organization with advanced data science solutions to drive competitive advantage and improve operations. Responsibilities include formulating data science problems, leading data science projects, statistical modeling, machine learning, AutoML, establishing machine learning foundation, experimentation, and data management.

As a Staff Data Scientist at Walmart, you will lead data science projects focusing on customer segmentation and LTV models. You'll collaborate with marketing to develop algorithms for targeting customers, mentor junior data scientists, and oversee project delivery. This role requires strong analytical skills and expertise in machine learning, big data technologies, and effective communication with stakeholders.

Data Scientists develop and maintain AI software for Hitachi High-Tech. Responsibilities include writing algorithms in machine learning, analyzing data, resolving software issues, designing user interfaces, and conducting tests. They collaborate with service engineers and participate in various software development activities.

The Data Scientist will partner with Engineers, Product Managers, and Business Partners to mathematically frame problems, perform exploratory data analysis, construct statistical and machine learning models, implement algorithms in production, and analyze experimental data to facilitate decision-making.

The Data Scientist will analyze and transform complex datasets, develop machine learning algorithms, design statistical models, and communicate insights through data visualizations. Responsibilities include working with cloud analytic platforms and integrating solutions into business processes while collaborating with stakeholders.