Top Data & Analytics Jobs
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As a Staff Data Scientist at Lyft Media, you will be responsible for implementing machine learning algorithms for digital advertising, conducting exploratory data analysis, developing statistical models, and collaborating with software engineers for production implementations. Your work will directly impact advertising strategies within the Lyft platform.
As an Analytics Lead, you will develop analytical frameworks to understand market dynamics, influence business strategies, analyze product trends, and provide insights to senior leadership. You will manage projects in a fast-paced environment, become an expert in marketplace trends, and support reporting for leadership.
The Principal Engineer will lead the Operations Analysis team to deliver analytical products guiding business strategy and product development. The role involves designing rigorous analyses, supporting requirements definitions and effectiveness studies for military operations, enhancing internal modeling and simulation capabilities, and presenting analytical findings to stakeholders.
Principal Analytics Engineer responsible for developing and maintaining platforms, patterns, pipelines, assets & BI solutions for cross-functional data operations & analytics. Must have pharmaceutical experience and be able to empower others to adopt successful patterns & practices in data management.
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The Junior Data Scientist will support the DoD’s biosurveillance program by designing and developing data science solutions, applying analytical methodologies, documenting findings, and aiding in data modeling processes. Responsibilities include working with large datasets, utilizing ML methods, and collaborating on the development of tools for data integration and visualization.
The Data Engineer will support the Chief Digital Artificial Intelligence Office's efforts in the DoD's integrated biosurveillance program by managing data repositories, automating processes, and collaborating with multiple teams to implement and optimize data solutions.
As a Data Scientist at Strider Technologies, you will research and develop data solutions, scale existing applications, and apply statistical modeling to transform messy data into critical insights. You'll collaborate with engineers, manage deliverables independently, and cultivate a data-driven culture.
The Intelligence Specialist at Strider Technologies will focus on enhancing data utilization and addressing risk detection through advanced data collection and analysis. Responsibilities include conducting research, crafting actionable intelligence products, tracking threat actors, and collaborating across teams for product development.
The Senior Data Scientist will develop and lead statistical and machine learning projects, leveraging large scale data processing. Responsibilities include analyzing datasets, developing machine learning models, conducting original analyses, and collaborating with stakeholders to provide data-driven solutions.
As a Data Scientist, you'll deploy production solutions using the Virtualitics AI platform, handle customer data, and develop AI solutions from ideation to production. You'll integrate big data frameworks and leverage your experience with machine learning.
As a Staff Data Scientist at Root, you will lead research initiatives to enhance risk segmentation and pricing strategies, manage a lead data scientist, and influence pricing model innovation. Your role involves collaborating with multiple departments, mentoring team members, and driving large-scale data science projects while pushing industry standards.
As a Lead Data Scientist in pricing, you will automate the pricing pipeline, innovate pricing models, and collaborate with various departments. You will also mentor junior team members and ensure compliance with regulations in new market expansions.
As a Data Scientist II in the pricing data science team at Root, you will refine pricing models, ensure compliance with regulatory requirements, and collaborate with cross-functional teams. You'll leverage your expertise in R and SQL to analyze and optimize pricing data, contributing to large-scale data science projects and enhancing model performance.
As a Data Analytics Intern at Gallagher, you will create data visualizations, conduct research to solve business challenges, present insights to clients, develop financial models, and assist in projects supporting sales initiatives while embracing Gallagher's culture and values.
As a Staff Data Scientist, you will analyze data, design experiments, and provide insights to influence product decisions. You will mentor team members and develop tools for scaling analyses. The role requires collaboration with product managers and engineers to enhance user experience through data-driven solutions.
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