Top Hybrid Data Science Jobs
The Senior Data Scientist will collaborate with a cross-functional team to design, develop, and deploy analytic models and high-impact data solutions in motorsports, leveraging machine learning and AI to support race teams. Responsibilities include analyzing and preprocessing diverse data, building predictive models, and presenting findings through visualization techniques.
Work as a Senior Scientist in the Applied Analytics & Insights team at GM, developing and implementing high-impact data-driven analytic solutions for internal business functions. Responsibilities include building predictive models, analyzing data, creating user interfaces, and presenting complex information using data visualization techniques.
The Senior Scientist will work on developing and deploying large analytic datasets and machine learning models to drive data-driven decision-making. They will collaborate with diverse technical teams to create analytical pipelines, user interfaces, and data visualization solutions for internal business functions at GM.
The Senior Data Scientist at Cash App will analyze large datasets using SQL and programming languages to provide actionable insights. Responsibilities include working on product analytics, designing A/B tests, collaborating with engineers on data logging, forecasting metrics for business strategies, and creating data visualizations and dashboards for stakeholders.
The Sr. Scientist II will lead Clif Bar Brand's R&D activities, coordinating technical projects, managing product development, conducting trials, analyzing data using digital models, and influencing decisions across teams. Responsibilities include managing innovation, productivity projects, ingredient substitutions, and consumer complaint reductions while ensuring compliance with quality standards.
Featured Jobs
The Data Scientist at Cloudflare will enhance the cloud data analytics platform, align with business leaders, and implement machine learning models. Responsibilities include improving data collection, mentoring the team, and using statistical analysis for business insights, while collaborating closely with product and engineering teams.
The Senior Renewals Analyst is responsible for improving processes, ensuring the quality and validity of ARR data, and managing relationships with stakeholders. They lead projects with defined business milestones and collaborate with various teams to optimize systems and document improvements, contributing to operational efficiency.
The Distinguished Architect will lead AI initiatives at ServiceNow, focusing on integrating AI technologies into products. Responsibilities include collaborating with engineering and product teams, building scalable architectures, creating reusable components, influencing leadership on AI strategies, and engaging in thought leadership through industry conferences.
As a Senior Data Scientist at Snap Inc, you'll leverage your expertise in quantitative analysis and data modeling to derive actionable insights and optimize product development. Collaborating cross-functionally with product managers, engineers, and designers, you'll conduct statistical analyses and build predictive models to drive informed decision-making. This role involves crafting metrics and dashboards to communicate insights effectively and initiating projects aimed at discovering new opportunities within the company's data framework.
The Senior Data Visualization Specialist will transform data into compelling visual stories and collaborate with cross-functional teams to design insightful presentations. Responsibilities include effective communication of complex data insights, ensuring accuracy in visualizations, and delivering projects under deadlines, thereby enhancing decision-making processes.
The Senior Data Scientist will lead complex analyses using machine learning and data science techniques to derive insights from structured and unstructured data. Responsibilities include mentoring other data personnel, applying advanced analysis methods, and delivering insights to support Takeda's objectives in healthcare, vaccines, and R&D.
The Revenue Operations Analyst at Definitive Healthcare will utilize data analysis and business intelligence tools to track revenue performance. Responsibilities include generating reports on revenue metrics, collaborating with teams for revenue forecasts, analyzing pricing strategies, and communicating analytic solutions.
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