Top Data & Analytics Jobs

The Staff Data Scientist will develop classification algorithms for EEG neurodiagnostics by employing machine learning, time-series analysis, and signal processing techniques. The role involves analyzing data for trends, collaborating with stakeholders, and building analytical solutions.

As a Data Scientist at 12Go, you'll design advanced analytical and machine learning solutions for the online travel sector, collaborating with cross-functional teams to implement AI/ML strategies. You will take ownership of projects addressing large-scale challenges while staying updated on data science advancements.

The Director of Data Science will lead and expand the Data Science team, focusing on data-driven insights to influence strategy and resource allocation. Responsibilities include developing KPIs, designing dashboards, collaborating with Data Engineering and other departments, performing statistical analyses, and implementing predictive algorithms to support company goals.

The Staff Data Scientist will research and develop algorithms for fleet management, including pricing, allocation, and ETA. The role involves collaboration with product software, designing automatic vehicle allocation algorithms, and establishing statistical practices for data-driven decisions.

The Data Scientist II role involves estimating and implementing consumer credit models for mortgage default and prepayment, utilizing statistical methods and cloud computing. Responsibilities include model design, data analysis using large datasets, machine learning, and effectively communicating findings.

The Staff+ Data Scientist at Ceribell will design and develop advanced classification algorithms for EEG neurodiagnostics, utilizing machine learning, time-series analysis, and statistical signal processing. Responsibilities include analyzing data trends, collaborating with stakeholders, mentoring junior team members, and managing complex technical projects, while ensuring compliance with regulatory requirements.

As a Field Data Scientist Intern, you will analyze real-world industry data to identify fraud patterns, develop and implement detection strategies, and build dashboards to track performance. Collaborating with Technical Account Managers and fraud teams, you will quantify the effectiveness of strategies and conduct feature engineering and tuning based on feedback.

The Senior Data Scientist will create and deploy data models and algorithms addressing business issues in the Autonomy team. Responsibilities include developing scalable data pipelines, enhancing ML model performance, analyzing model metrics, and collaborating with other teams to optimize automated driving technology.

As a Data Scientist at T-Mobile, you will apply machine learning techniques and statistical methods to solve business problems by collaborating with stakeholders. Key responsibilities include data preparation, exploratory data analysis, model development, and performance measurement, all aimed at generating business value from data.

The Use Case Data Scientist will leverage cutting-edge technologies to build data solutions, manage data pipelines, analyze data, and translate business requirements into machine learning models, all while working collaboratively with data scientists and product owners.

The Staff Data Scientist will build and validate predictive models using advanced machine learning techniques to solve fraud detection problems and improve existing models. This role involves collaboration with cross-functional teams and managing model risks according to Visa standards.

Leidos is seeking a Data Scientist to enhance client's IT architecture by developing data strategies, ensuring compliance, and improving data integrity. Responsibilities include working on enterprise data architecture, collaborating across departments, and analyzing data structures for quality improvements.

The Data Scientist II is responsible for estimating, validating, and implementing consumer credit models related to mortgage defaults and prepayments using statistical methods. This role involves cloud computing solutions, model development, and communicating technical findings to management.

As a Data Scientist, you will develop data models and provide insights to support business objectives by collaborating with teams, applying statistical techniques, implementing machine learning algorithms, and creating reports using data visualization tools. Your role involves transforming complex data into actionable solutions to drive strategic decision-making.

As a Senior Data Scientist, you'll leverage advanced analytics to design sophisticated machine learning solutions and lead strategic initiatives. Collaborate with executive stakeholders to translate complex problems into technical solutions while mentoring team members and establishing best practices for data science applications.

The Data Scientist II is responsible for driving analytics projects that apply advanced predictive and machine learning models. They analyze large datasets to extract insights, design experiments, and build statistical models to provide actionable recommendations to support business decisions.

As a Senior Data Scientist at ARPA-H, you will leverage expertise in AI and data analytics to support healthcare programs, analyze data trends, develop models, and communicate findings to stakeholders.