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Learning specialist vs data scientist

The differences between learning specialists and data scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a learning specialist and a data scientist. Additionally, a data scientist has an average salary of $106,104, which is higher than the $57,035 average annual salary of a learning specialist.

The top three skills for a learning specialist include customer service, professional development and project management. The most important skills for a data scientist are python, data science, and visualization.

Learning specialist vs data scientist overview

Learning SpecialistData Scientist
Yearly salary$57,035$106,104
Hourly rate$27.42$51.01
Growth rate8%16%
Number of jobs38,229106,973
Job satisfaction5-
Most common degreeBachelor's Degree, 59%Bachelor's Degree, 51%
Average age4441
Years of experience44

What does a learning specialist do?

Learning specialists are highly skilled teachers providing educational support to students who struggle academically at schools. They are responsible for working closely with students and their parents to develop a learning strategy suitable for a student's learning style to improve their grades and academic progress. Other responsibilities of a learning specialist include educating teachers and parents on learning differences, communicating with teachers and parents regularly about a student's progress, and keeping abreast of current teaching methods.

What does a data scientist do?

A Data Scientist analyzes information from multiple sources in order to gain maximum insight that can give the company a competitive advantage. They work in different domains, including manufacturing, healthcare, education, and finance.

Learning specialist vs data scientist salary

Learning specialists and data scientists have different pay scales, as shown below.

Learning SpecialistData Scientist
Average salary$57,035$106,104
Salary rangeBetween $37,000 And $87,000Between $75,000 And $148,000
Highest paying CityNewark, NJRichmond, CA
Highest paying stateNew JerseyCalifornia
Best paying companyMetaThe Citadel
Best paying industryInsuranceStart-up

Differences between learning specialist and data scientist education

There are a few differences between a learning specialist and a data scientist in terms of educational background:

Learning SpecialistData Scientist
Most common degreeBachelor's Degree, 59%Bachelor's Degree, 51%
Most common majorBusinessComputer Science
Most common collegeNorthwestern UniversityColumbia University in the City of New York

Learning specialist vs data scientist demographics

Here are the differences between learning specialists' and data scientists' demographics:

Learning SpecialistData Scientist
Average age4441
Gender ratioMale, 32.8% Female, 67.2%Male, 79.6% Female, 20.4%
Race ratioBlack or African American, 11.0% Unknown, 6.5% Hispanic or Latino, 16.1% Asian, 6.3% White, 59.7% American Indian and Alaska Native, 0.5%Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6%
LGBT Percentage12%9%

Differences between learning specialist and data scientist duties and responsibilities

Learning specialist example responsibilities.

  • Lead strategic planning for eLearning initiatives and manage company-wide training for laboratory information system update.
  • Manage the integration of the student information system Jenzabar CX/JICS with Moodle.
  • Lead experiential learning in supervisory skills, conflict management, leadership, team building and organization process effectiveness.
  • Instruct on how to create PowerPoint presentations and debate an argument during an oral defense.
  • Develop individualized education plans for students who receive math intervention services.
  • Tutor and advise undergraduate level courses in introductory statistics and mathematics.
  • Show more

Data scientist example responsibilities.

  • Update, maintain, and manage regional CRM database and records for customers, vendors, and suppliers.
  • Configure and manage JobScope ERP system for a make-to-order/make-to-stock design and manufacturing environment.
  • Lead the analysis in SAS for data integration of mortality data using meta-analysis integration methods.
  • Implement a proximal stochastic gradient descent with a line search to fit a regularize logistic regression in Scala
  • Perform cross-validation-test on linear regression model of data using scikit-learn.
  • Develop python base statistical visualization to provide insights of fuzzy social media data.
  • Show more

Learning specialist vs data scientist skills

Common learning specialist skills
  • Customer Service, 9%
  • Professional Development, 6%
  • Project Management, 5%
  • Subject Matter Experts, 5%
  • PowerPoint, 4%
  • Instructional Design, 4%
Common data scientist skills
  • Python, 13%
  • Data Science, 10%
  • Visualization, 5%
  • Java, 4%
  • Hadoop, 4%
  • Tableau, 3%

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