Top Data & Analytics Jobs

The Senior Data Scientist will develop hypotheses, execute experimental methods, and derive actionable insights from data. Responsibilities include providing recommendations based on various data types, collaborating with eCommerce and Digital Marketing leaders, and ensuring reporting solutions meet business needs. This role requires expertise in statistical methods and predictive modeling to drive strategic decisions.

The Senior Data Scientist will lead initiatives using data mining and advanced modeling techniques to provide insights for DTN’s customers in agriculture, oil, gas, and weather sectors. Responsibilities include implementing predictive models, conducting feasibility studies, and creating visualizations to communicate results while collaborating with stakeholders to address their needs.

As a Data Scientist III, you will develop, deploy, and optimize advanced data science and AI solutions to improve business operations. You will analyze large datasets, build predictive models, work on data architecture, and present insights to stakeholders. The role requires proficiency in programming and machine learning frameworks.

Senior Data Scientist role at OmniData in Portland. Responsibilities include building data science solutions, analyzing large data sets, developing statistical and ML models, improving decision-making processes, and implementing analytical models in production.

The Staff Data Scientist will analyze complex data sets using statistical modeling and machine learning techniques to develop and implement data-driven strategies for improving Walmart's eCommerce products and customer experience. This role involves leading a team, driving A/B testing, and collaborating across various teams to provide insights and recommendations.

As a Senior Data Scientist on the Search Ranking Team, you will analyze vast amounts of data and develop complex machine learning models to enhance product search relevance on e-commerce platforms. Your work will optimize ranking algorithms and ensure customer query intents are effectively understood across various modalities.

The Senior Data Scientist will utilize Python to process data, identify outliers, and ensure data system security. Responsibilities include building and tuning predictive models, creating analytical dashboards, and conducting statistical analysis in support of the Risk Management Framework lifecycle.

The Data Scientist III will process and analyze healthcare data, maintain and optimize data pipelines, and improve the team's codebase while collaborating with experts in causal inference to evaluate product impacts and perform business analytics.

As a Senior Data Scientist at Walmart, you will analyze large data sets using machine learning and statistical modeling, lead experimentation projects, mentor a team, and collaborate with cross-functional teams to enhance eCommerce offerings.

The Staff Data Scientist will leverage advanced machine learning and big data techniques to optimize advertising performance at Walmart. Responsibilities include developing algorithms for ad relevance, processing large datasets, and collaborating with various teams to implement models and improvements.

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 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.