Top Data Science Jobs

The Staff Data Scientist at Aircall will lead initiatives leveraging applied data science to drive business success. Duties include managing the entire modeling lifecycle, overseeing projects in marketing, fraud prevention, and call quality, as well as mentoring team members and fostering a culture of experimentation.

The Senior Data Scientist will support the Department of Defense by developing and optimizing AI and machine learning solutions within the Search Portfolio, enhancing data accessibility and decision-making processes. Responsibilities include collaborating with cross-functional teams, managing the AI/ML lifecycle, and employing advanced analytical methodologies on large datasets.

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 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.

The Senior Data Scientist will analyze large-scale data problems to influence business decisions and enhance product performance across various teams. Responsibilities include developing statistical analyses, machine learning models, and creating actionable dashboards while mentoring others in data science best practices.

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.

The Data Scientist will analyze large datasets to extract meaningful insights using statistical analysis, data modeling, and programming. Responsibilities include developing strategies for data curation and visualization, as well as translating technical requirements to meet mission needs. The role involves communicating technical information to non-experts and making recommendations based on data analysis.

The Data Scientist will support USSOCOM by analyzing and interpreting data through statistical techniques, conducting big data analysis, programming, and developing algorithms and data models. The role includes coordinating with teams to create data environments and collaborate on producing intelligence products.

As a Senior Data Scientist at StackAdapt, you will build predictive and optimization models for internal business operations, forecast revenue, and support financial health through machine learning models. You will work closely with company teams and write production code to implement algorithms.

The Data Scientist will develop and deploy analytic models, integrate data sources, validate model performance, and collaborate with customers to understand their data needs. This role requires a focus on creating tailored machine learning models based on specific problem domains.

As a Senior Data Scientist at TextNow, you will collaborate with various teams to design and implement machine learning solutions, manage analytic and predictive models, and communicate insights that support business objectives. You should have strong experience in machine learning and the ability to engage with both technical and non-technical stakeholders effectively.

As a Senior Data Scientist, you will innovate and enhance customer experiences using machine learning and big data. Responsibilities include analyzing business problems, developing algorithms and solutions, presenting insights, and mentoring junior data scientists.

The Senior Data Scientist will develop and implement data processing software and analytics algorithms to solve business problems using AI and machine learning. Responsibilities include collaborating with internal teams, advocating products, and understanding market needs. The role involves working on challenging projects with a focus on delivering analytics solutions.

As a Data Scientist, you will develop predictive models and analytical solutions for various organizational needs, interpret data results, build tools for decision-making, and lead complex technical projects. You will also analyze big data to identify business trends and provide quantitative models to support decision-making in underwriting, pricing, and marketing.

The Data Scientist will analyze large datasets, develop predictive models, and provide insights to guide business decisions. Responsibilities include conducting data analysis, developing algorithms for forecasting sports outcomes, collaborating with product and engineering teams, and monitoring model performance.

This role involves defining key performance metrics for a safety-critical perception and prediction system, analyzing large datasets using distributed computing, collaborating with engineers and scientists to enhance system performance, and participating in the software development life cycle.

As a Senior Data Scientist at Faire, you'll develop machine learning models to optimize shipping costs, assess creditworthiness, personalize content for retailers, and enhance product listings. You will work collaboratively within a team to leverage data insights, ensuring local retailers can compete against larger entities. Your role includes producing diverse algorithms to drive growth in both retailers and brands, contributing to Faire's goal of empowering small businesses globally.