Top Hybrid Data Science Jobs
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 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.
Featured Jobs
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.
The Data Scientist II at Caterpillar Inc. collaborates with analytics teams to develop data-driven solutions using quantitative methods. Responsibilities include data manipulation and management in a cloud environment, model building with Machine Learning and NLP, and communicating findings through data visualizations and dashboards. The role also involves mentoring junior staff and contributing to the integration and improvement of data pipelines.
The Senior Data Scientist will develop strategies to extract and analyze data from large datasets, implement analytical methods, and work with cross-functional teams to support government needs. The role involves applying advanced data techniques and fostering innovation in solutions.
As a Data Scientist at Kikoff, you will leverage your analytical skills to drive product development by using data-driven insights. Your role includes shaping product goals, conducting rigorous analyses, and effectively communicating data stories to cross-functional teams to enhance customer financial security.
The Data Scientist will utilize SQL and Python for data analysis, design automated data ingestion processes, lead machine learning projects, manipulate and visualize data, build scalable workflows using cloud services, and apply CI/CD practices.
The Senior Data Scientist at TransUnion is responsible for developing analytic solutions through consulting for clients within credit, fraud, insurance, and marketing sectors. This role involves leading multiple projects, delivering insights, and enhancing analytic capabilities using programming languages like R and Python, while working collaboratively across teams.
The role involves leading R&D initiatives for productivity improvements within Kraft Heinz, managing projects from conception to commercialization, and executing tests to analyze data. Strong communication and teamwork skills are required to collaborate across various functions. Candidates must possess critical thinking and a technical background.
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