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Virtual Applied Mathematics Intern Jobs in California

Brilent

Data Scientist Intern

San Mateo, CA · On-site

As a data scientist intern, you will work alongside our small team of data scientists and engineers ... Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative ...

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Virtual Applied Mathematics Intern information

What is the difference between Virtual Applied Mathematics Intern vs Virtual Data Analyst?

AspectVirtual Applied Mathematics InternVirtual Data Analyst
Required CredentialsTypically pursuing or holding a degree in mathematics, applied mathematics, or related fieldOften requires a degree in statistics, data science, or related field
Work EnvironmentRemote internship, project-based tasks, research-focusedRemote or hybrid, data processing, analysis, and reporting tasks
Employer & Industry UsageResearch institutions, tech companies, finance, academiaBusiness, marketing, finance, tech industries

The Virtual Applied Mathematics Intern focuses on applying mathematical theories to research and problem-solving, often in academic or research settings. In contrast, the Virtual Data Analyst primarily interprets data to inform business decisions. Both roles require strong analytical skills and often similar educational backgrounds, but their work environments and end goals differ significantly.

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Data Scientist Intern

Brilent

San Mateo, CA • On-site

Full-time, Internship

Re-posted 12 days ago

Job description

Company Description
Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft.
Job Description
As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers.
Responsibilities
  • Perform large-scale data analysis, find interesting patterns and translate them into product improvements
  • Experiment with different machine learning algorithms and statistical techniques and develop new product initiatives
  • Develop data infrastructure and improve data collection and processing tools and techniques

Qualifications
  • Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative discipline. Advanced degree preferred
  • Proficient in SQL and able to write complex SQL queries
  • Experience with scripting languages such as Java and Python
  • Excellent problem-solving and analytical skills
  • Curious and creative about data, and comfort with ambiguity

Additional Information
We offer competitive salaries, meals, snacks, etc.

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