Top Data & Analytics Jobs

The Data Scientist will apply statistical methods to analyze data, create predictive models, and recommend actions based on analyses. Responsibilities include executing methods to fulfill business needs, fine-tuning models, ensuring data integrity for analytics, and promoting data science across the organization.

As a Senior Data Scientist at Antora, you will develop algorithms for optimizing thermal battery dispatch, enhance forecasting models, and collaborate with engineering and commercial teams. This role requires translating complex requirements into mathematical formulations and contributing to product development through advanced modeling techniques.

The Data Scientist at LeaseLock develops machine learning models and provides analytical insights to support risk controls, financial forecasting, and sales strategies. Key responsibilities include predicting property risk, delivering data-driven strategies, and identifying data inconsistencies to enhance modeling frameworks.

As a Data Scientist at Red Hat, you will develop open-source AI/ML capabilities, engage with upstream communities, and contribute to product features, including model training and deployment. You'll work collaboratively with teams, mentor junior engineers, and stay updated on AI developments.

The role involves leading the design, implementation, and maintenance of data collecting systems, such as data pipelines and lakes. It includes collaborating with data scientists on machine learning models and advising leadership on strategies and solutions based on data analysis.

The Senior Applied Data Scientist at Abnormal Security will focus on building and enhancing detection systems for email attacks using machine learning. Responsibilities include analyzing false negatives, training models, feature engineering, and improving system efficacy. The role demands a deep understanding of data analysis and the ability to collaborate with other teams to productionize insights.

The Senior Data Scientist will develop and deploy machine learning models, optimize workflows for automation, collaborate with cross-functional teams to enhance reporting solutions, and ensure data integrity in AI/automation projects. The role focuses on generating predictive analytics and staying updated with AI/ML advancements.

As a Senior Data Scientist at Angi, you will lead the development and deployment of predictive models to enhance user engagement and retention. Your role involves collaboration with cross-functional teams to build data-driven solutions, conduct model evaluations, and mentor junior members. You will innovate and drive the application of advanced data science techniques.

The Staff Data Scientist will lead the entire model development process, including creating and improving credit risk models to enhance business performance. Responsibilities involve building machine learning models, collaborating with cross-functional teams, and developing analytics pipelines.

The Data Scientist Senior is responsible for developing methods and systems to analyze complex data sources for business insights. Duties include leading data automation projects, building statistical and machine-learning models, and refining them based on performance metrics. The role involves collaboration with stakeholders, mentoring less experienced staff, and ensuring compliance with risk management standards.

The Staff Data Scientist will develop and maintain fraud detection models, conduct analyses, and work cross-functionally to advance SentiLink’s products in identity verification and financial risk. This role requires technical leadership, model development, and writing production code to inform business decisions.

The Data Scientist will support data science needs by performing data mining, statistical analysis, and building predictive models for the Cybercrime and Analytics Group. Responsibilities include optimizing classifiers, data processing, anomaly detection, and assisting with IT support as needed.

The Basketball Data Scientist will develop and enhance machine learning and statistical models for sports betting products, utilizing sports domain knowledge. Responsibilities include model creation, testing, and deployment, along with performance analysis and documentation of findings.

As a Senior Data Scientist at SentiLink, you will develop and maintain fraud detection models, research new types of fraud, and write production-ready code. Collaborating with various teams, you'll inform data acquisition and product development to drive SentiLink’s evolving suite of Fraud and Financial Risk products.

The Senior Data Scientist will enhance forecasting capabilities for energy storage and renewable asset optimization by developing and deploying advanced machine learning models. Key responsibilities include managing workflows, conducting market analyses, creating scalable solutions, and mentoring team members, ensuring integration across teams to improve decision-making in energy systems.

The Senior/Lead Data Scientist will develop and maintain predictive models, analyze data patterns, and automate analytic procedures. Responsibilities include enhancing decision-making insights for clients, conducting complex analyses, and coordinating across teams for successful project execution.

The Data Scientist II role involves analyzing large healthcare datasets to uncover trends, developing machine learning models, and optimizing workflows. The position focuses on collaboration with various teams to integrate data science solutions and enhance revenue cycle management efficiency through actionable insights and visual communication of findings.