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7 jobs that use Machine Learning the most

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Jobs that use machine learning the most include space sciences director, research staff member, and computational biologist.

What jobs use Machine Learning the most?

1. Space Sciences Director

How space sciences director uses Machine Learning:

  • Lead team to identify predictors of customer sales conversion and revenue per order through regression modeling.
  • Manage CROs activities and work collaboratively with fermentation and downstream processing groups to scale up and optimize protein production.
  • Used crontab to automatically execute code on AWS cloud servers and store results in SQL databases.

Most common skills for space sciences director:

  • Data Science
  • Machine Learning
  • Python
  • Visualization
  • Mathematics
  • SQL

2. Research Staff Member

How research staff member uses Machine Learning:

  • Invent and develop new (user) input technology then lead the design and prototyping of its applications.
  • Design, analyze, and oversee HIV relate research projects including IRB protocol.
  • Perform testing for urinalysis, blood sugar, EKG, eye examinations, and blood pressure.

Most common skills for research staff member:

  • Python
  • Machine Learning
  • Research Projects
  • DOE
  • Data Analysis
  • Java

3. Computational Biologist

How computational biologist uses Machine Learning:

  • Develop UNIX shell script, PERL and AWK program and apply TECPLOT software macro files to automate data processing and report.
  • Manage detailed GLP laboratory manual daily.
  • Design and perform model-based gene expression analysis with whole genome tiling-microarray data sets using SAS.

Most common skills for computational biologist:

  • Python
  • Machine Learning
  • Next-Generation Sequencing
  • C++
  • Visualization
  • Biological Data

4. Computer Scientist

How computer scientist uses Machine Learning:

  • Lead cost evaluation for incremental release plan of business intelligence and cloud technology infusion.
  • Accomplish relational database administration and implementation.
  • Experience in Linux and Unix servers.

Most common skills for computer scientist:

  • Python
  • Computer System
  • Machine Learning
  • Architecture
  • DOD
  • Java

5. Image Scientist

How image scientist uses Machine Learning:

  • Manage the CO2 and near IR laser beamrider development.
  • Train and lead new and existing personnel in QC testing processes and procedures.
  • Suggest and implement corrections that lead to the positive completion of an FDA mandate study.

Most common skills for image scientist:

  • Image Processing
  • MATLAB
  • Machine Learning
  • PET
  • Data Analysis
  • Remote Sensing

6. Director Of Quantitative Research

How director of quantitative research uses Machine Learning:

  • Lead customer and competitor research, functional acquisition due diligence, and portfolio management of existing products/services and new investments.
  • Conduct quantitative analysis of financial data to forecast revenue, identify future trends and assess risk associate with portfolio.
  • Collaborate with IRB on adopting 'paperless' IRB system software.

Most common skills for director of quantitative research:

  • Python
  • Machine Learning
  • Quantitative Research
  • Data Analysis
  • MATLAB
  • Data Collection

7. Quantitative Analyst Internship

How quantitative analyst internship uses Machine Learning:

  • Manage and update early engagement processes daily through SharePoint.
  • Conduct tutorial on MATLAB to demonstrate program s basic functionality for risk management.
  • Develop tools to explore and compare two datasets of the stock market history using C++ and python.

Most common skills for quantitative analyst internship:

  • Python
  • R
  • Machine Learning
  • MATLAB
  • C++
  • Risk Management

Other skills

Updated December 28, 2023