Current Master's - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.

Preferences Masters in a quantitative field (e.g. Data Science, Computer Science, Statistics, Mathematics etc. Qualifications Bachelors in a quantitative field (e.g. Data Science, Computer Science, Statistics, Mathematics etc.

Continuous Improvement: Stay up-to-date with the latest trends, tools, and techniques in machine learning, AI, and data science. Reporting: Build Tableau/Looker dashboards to monitor key business metrics and present data insights in payment and subscription.

Master's or Ph. D. in Information Science, Library Science, Philosophy, Linguistics, Computer Science, or a related field with a focus on ontology engineering, knowledge representation, or semantic technologies.

10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science. Execute the HW Analytics Strategy that includes building a modern Unified Data Warehouse, expanded Self-Service, and Data Science capabilities.

Work Week: Standard (M-F equal number of hours per day) Posting Position Title: Research Specialist University Job Title: Data Scientist Preferred Education, Experience and Skills: Ph. D. in a quantitative field like Economics, Physics, Statistics, Mathematics, Data Science, Engineering, Health Policy or related fields.

The department of Computer Science at California State University, Northridge (CSUN) is seeking a tenure-track faculty member at the rank of assistant professor, with a specialization in data science.

The PositionThe Science Engagement Division at the Adler Planetarium (Adler) is seeking candidates for a Postdoctoral Fellowship position in the field of Data Science, with an emphasis on Remote Sensing and Geospatial Analysis.

The Business Data Analyst, Senior will report to the Sr. Manager of Back Office Analytics. Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks.

Several Division faculty have leadership roles in major cross-disciplinary initiatives, including the Biostatistical Design and Analysis Center (BDAC ) of the Clinical and Translational Science Institute and the Biostatistics Core of the Masonic Cancer Center, the Analytics Core of the Masonic Institute for the Developing Brain, the Innovative Methods and Data Science and RapidEval Programs in the Center for Learning Health Systems Sciences, and the Genomics Data Commons.

Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.

Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations. Required Skills Master’s or Ph. D. in a quantitative field such as computational linguistics, computer science, artificial intelligence, mathematics, cognitive science, or other relevant quantitative field.

We are seeking a dedicated Machine Learning Engineer with a passion for data science, to lead and manage our critical Machine Learning and Artificial Intelligence Platform. You will work closely with data scientists and software engineers to scale the Vertex Data Platform, which is Vertex's cutting-edge technology ecosystem for Data Engineering, Data Science, and Advanced Analytics.

Our team brings together experts in data science, electronics, and healthcare and has partnered with leading healthcare and academic institutions to introduce the next generation of patient waveform monitoring and analytics solutions.

Data Internship We offer internships in different data roles including: Data Analyst Intern Data Scientist Intern Business Analytics Your Experience and Qualifications Current student enrolled in an accredited 4-year college or university in Data Science, Information Management, Computer Science, Computer Engineering, or a related field.