Top Data & Analytics Jobs

As a Data Scientist at Spry, you will design and maintain complex data models, implement machine learning algorithms, analyze large datasets, and collaborate with teams to develop data-driven solutions. Your role will involve creating data visualizations and ensuring data quality while keeping updated with advancements in data science and AI.

As a Senior Data Engineer, you will collaborate with clients to identify their data needs and propose solutions. Your responsibilities will include developing data systems, performing statistical analyses, preparing reports, and creating data visualizations. Utilizing strong programming skills, you will apply advanced methodologies to analyze complex datasets and improve operational performance.

The role involves building predictive and optimization models for internal business operations, customer acquisition, revenue forecasting, and collaborating on implementing ML algorithms. A strong programming and data science background is essential to tackle ambiguously defined tasks and work with teams on data-driven decisions.

As a Senior Data Scientist, you will develop claims enrichment methodologies and analytics products, conduct data analysis, and communicate findings to stakeholders. Your role will encompass statistical design, operationalizing data models, and working with large datasets to drive clinical and operational improvements.

The Data Scientist will apply quantitative analysis, data mining, and data visualization to improve API products, conduct large-scale A/B experiments, identify signals for machine learning models, and influence product decisions. The role also involves building ML solutions and promoting a data-driven culture.

As a Data Scientist III, you will collaborate with business partners to solve problems, develop predictive models, conduct statistical analysis, and create data reports. You'll use Python and SQL to analyze data, design statistical models, validate them, and present findings to stakeholders. Staying updated with data science trends is crucial for success.

The Data Scientist will execute and support research projects, collaborating with teams to analyze data and prepare reports. Responsibilities include managing datasets, developing analysis plans, ensuring quality control, and contributing to proposals. Ideal candidates enjoy research and have strong attention to detail.

As a Data Scientist at Stitch Fix, you will shape experimentation best practices, design and analyze experiments to generate actionable insights, and collaborate with various stakeholders to enhance the experimentation process. This role requires strong problem-solving skills and an ability to effectively communicate complex concepts across teams.

The Data Scientist Senior will manage enterprise data lineage, design and implement data flow patterns, coordinate with stakeholders on lineage requirements, and ensure effective delivery of data lineage solutions. Responsibilities also include metadata identification, metrics development for data lineage, and user training while maintaining compliance with regulatory standards.

The Senior Data Scientist will lead analytics and growth strategies, manage large data sets, develop statistical models and machine learning algorithms, and provide insights for retail operations. Responsibilities include collaborating with cross-functional teams, building dashboards, and communicating data insights to stakeholders.

As a Senior Data Scientist, you will provide technical mentorship, build models to quantify impact on the platform, develop experimentation techniques, and create features to identify customer issues. The role focuses on navigating tradeoffs to drive business value across the organization.

As a Senior Data Scientist, you'll partner with Walmart's sales and marketing teams to develop and implement advertising measurement strategies. Your role involves building automated ETL pipelines, designing dashboards, and providing actionable insights through data analysis using SQL, Python, R, and Tableau. You'll also foster collaboration among multidisciplinary teams and communicate findings effectively to leadership.

The Data Engineer will design and develop scalable data pipelines, collaborate with cross-functional teams, and optimize data systems. Responsibilities include creating ELT processes, participating in agile development, and applying best practices in data modeling and schema design to ensure data integrity.

As a Senior Data Scientist, you will lead the research and organization of large datasets, develop deep learning models, and optimize search relevance using advanced machine learning techniques. You will also handle data pipelines, conduct A/B tests, and implement statistical methods for performance evaluation.

The Senior Data Scientist will develop statistical and machine learning models to enhance marketing effectiveness, optimize marketing investments, and measure campaign impacts. Responsibilities include model development, design experiments, and cross-functional collaboration with internal stakeholders.

As a Staff Data Scientist on the Marketing Technology team, you will develop causal inference methods and Bayesian models to analyze marketing effectiveness. Your role will include designing and conducting experiments, generating insights to optimize marketing spend, and collaborating with various stakeholders to enhance brand measurement.

The Principal Data Scientist will lead AI explorations, develop and deploy AI/ML models, and collaborate on innovative solutions to enhance the security and safety of Walmart's operations. They are responsible for overseeing the implementation of machine learning products and fostering collaboration across teams.