Top Data & Analytics Jobs

As a Data Scientist, you will analyze complex data sets, develop predictive models using machine learning techniques, and deliver actionable insights for business decisions. Responsibilities include data analysis, model development, data preprocessing, and creating visualizations to communicate findings effectively. Collaboration with cross-functional teams and staying updated with advancements in data science are also key aspects of this role.

As a Senior Data Scientist at Tiger Analytics, you will leverage your expertise in AI and machine learning to design and build advanced analytics engines. Collaborating with teams, you'll develop and evaluate generative AI products, enhance model performance, and drive data-driven business solutions.

The Staff Data Scientist will research and develop advanced machine learning algorithms to enhance advertising performance, process large datasets, and optimize campaign results. Responsibilities include collaborating with leadership and product managers to implement model improvements and presenting insights derived from data analysis.

As a Staff Data Scientist, you'll develop machine learning products in collaboration with various teams, analyze complex business issues, define key metrics for AI/ML systems, and ensure effective communication with stakeholders to integrate data-driven solutions into the business.

As a Data Scientist at ELEVI, you will analyze large datasets, develop machine learning algorithms, create visualizations, and collaborate with subject matter experts to automate analytics processes. You will also generate reports and insights from the data, while having opportunities to work with various cloud environments and data analysis software.

As a Data Scientist II at Oscar, you will leverage AI/ML to enhance member engagement and develop analytics to demonstrate the value of novel communication channels. Responsibilities include mentoring junior data scientists, developing data pipelines, and delivering analytical solutions while collaborating across business units.

The Principal Data Scientist will optimize Kajabi's data ecosystem, providing insights and strategic recommendations to enhance growth, engagement, and revenue across multiple functions. Responsibilities include developing data strategies, building predictive models, conducting business impact analyses, and communicating findings to senior leadership.

The Senior Data Scientist will develop optimization models for logistics operations, build automated pipelines, define and track KPIs, create financial models, and conduct advanced statistical analyses to inform strategic decisions. The role emphasizes collaboration across teams to enhance time-critical logistics through data-driven solutions.

The Principal Data Scientist leads the development of data-driven solutions, employing advanced analytics and machine learning to derive actionable insights. This role involves managing complex projects, collaborating with cross-functional teams, and developing training materials to enhance data literacy across the company.

The Data Scientist will support data acquisition, conduct exploratory data analysis, develop custom models and algorithms, and analyze business intelligence questions using diverse data sets. Responsibilities include collaborating with teams, assessing data effectiveness, and presenting findings to stakeholders in an accessible format.

The Data Scientist will develop, improve, and manage data science and machine learning models while collaborating with R&D. Responsibilities include data manipulation, feature engineering, and model implementation. The role also involves communicating insights to stakeholders and ensuring quality control within the data team.

The Sr. Growth Data Scientist will analyze product usage data to enhance digital experiences across Photoshop, Lightroom, and Fresco. Responsibilities include designing growth experiments, providing insights for customer acquisition and retention, developing user segmentation models, and collaborating closely with product and engineering teams to optimize metrics and user experiences.

The Staff Data Scientist will develop and deploy advanced statistical and machine learning models, focusing on forecasting and optimization to drive business growth. Collaborating with cross-functional teams, they will analyze complex datasets, conduct A/B testing, and communicate findings to support strategic decision-making.

The Senior Data Scientist will enhance customer experiences through personalized recommendation models using machine learning and computer vision. The role involves developing complex algorithms and collaborating with various teams to address business challenges, while maintaining documentation and updating on latest technology trends.

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 Data Scientist will identify data sources, ensure data quality, develop and deploy analytical models, conduct model validation, and create advanced data visualizations. They will work on understanding business requirements and guide junior associates while influencing stakeholders with data insights.

The Data Engineering & Science Lead will optimize property management systems through the development of ETL processes, advanced analytics, and data pipeline development. Responsibilities include driving business insights, supporting integrations with property management systems, and mentoring junior team members in data engineering best practices.