Data specialist responsible for data analysis and machine learning solutions at Azul. Collaborating with teams and implementing models within Snowflake platform.
About the role
- Data Science Intern exploring data-driven workforce strategies at Roche. Collaborating with agile teams to analyze data and support strategic decision-making.
Responsibilities
- Explore how data and technology drive strategic decision-making regarding workforce
- Support various team initiatives, analyze and interpret data
- Help prepare insightful reports and contribute to methodologies impacting strategic goals
- Collaborate with experienced professionals in an agile environment
Requirements
- Bachelor or Master studies in economics, business administration, HR Management, or STEM
- Passion for data science and technology
- First (internship) experience in HR and/or analytics fields
- Ability to analyze data, generate insights, and develop effective recommendations
- Expertise in R and familiarity with shinyApp, CRAN, and dplyr
- Expertise in Excel or Google Sheets as well as SQL
- Experience with Python is a plus
- High level of social competence and efficient communication in English.
Benefits
- flexible work arrangements
- professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Lead Data Scientist leveraging datasets to build analytics tools for audit practitioners in an inclusive startup environment. Collaborate with teams to improve operational efficiencies and data insights.
Working Student at Fraunhofer Institute for Integrated Circuits IIS developing AI solutions in Data Science and NLP. Focusing on innovative applications and cutting - edge technologies in generative AI and machine learning.
Engage in a dual study program focusing on AI and Data Science. Responsibilities include machine learning model development and data processing in a collaborative environment.
Lead Data Scientist developing AI - powered capabilities at S&P Global. Architecting ML products and mentoring a skilled team in an engaging global environment.
Data Scientist / ML Engineer at Franklin Templeton designing and productionizing machine learning systems for business solutions. Collaborating with teams to deliver scalable and reliable ML solutions.
Data Scientist leading complex analytics projects to drive data - informed business decisions. Collaborating with senior leadership at Vanguard to enhance analytical capabilities.
Data Scientist creating machine learning solutions to detect financial crime at a significant financial institution. Leading model development with business stakeholders and engineers while maintaining compliance standards.
Working Student at Fraunhofer Institute focusing on Data Science and Natural Language Processing. Involved in AI - driven projects with a flexible work schedule.
Werkstudent*in in Data Science und Natural Language Processing bei Fraunhofer, tätig in KI - gestütztem Wissensmanagement und innovativer KI - Lösungsentwicklung.