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Sap consultant vs data scientist

The differences between sap consultants and data scientists can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 4-6 years to become a sap consultant, becoming a data scientist takes usually requires 2-4 years. Additionally, a data scientist has an average salary of $106,104, which is higher than the $88,806 average annual salary of a sap consultant.

The top three skills for a sap consultant include sap successfactors, prototyping and business process. The most important skills for a data scientist are python, data science, and visualization.

Sap consultant vs data scientist overview

SAP ConsultantData Scientist
Yearly salary$88,806$106,104
Hourly rate$42.70$51.01
Growth rate9%16%
Number of jobs30,135106,973
Job satisfaction--
Most common degreeBachelor's Degree, 68%Bachelor's Degree, 51%
Average age4341
Years of experience64

What does a sap consultant do?

An SAP consultant is responsible for analyzing, designing, and configuring new computer software and systems in agreement with their clients' or employer's specifications, as well as create programs, interfaces, and forms. They also check new interfaces to make sure that system workflows are optimized and work well with end-users, then make modifications as requested and get feedback. They have a complex task; thus, an SAP consultant must be patient and flexible because end-users regularly revise system requirements.

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.

Sap consultant vs data scientist salary

Sap consultants and data scientists have different pay scales, as shown below.

SAP ConsultantData Scientist
Average salary$88,806$106,104
Salary rangeBetween $67,000 And $117,000Between $75,000 And $148,000
Highest paying CitySunnyvale, CARichmond, CA
Highest paying stateCaliforniaCalifornia
Best paying companyAmazonThe Citadel
Best paying industryProfessionalStart-up

Differences between sap consultant and data scientist education

There are a few differences between a sap consultant and a data scientist in terms of educational background:

SAP ConsultantData Scientist
Most common degreeBachelor's Degree, 68%Bachelor's Degree, 51%
Most common majorComputer ScienceComputer Science
Most common college-Columbia University in the City of New York

Sap consultant vs data scientist demographics

Here are the differences between sap consultants' and data scientists' demographics:

SAP ConsultantData Scientist
Average age4341
Gender ratioMale, 72.1% Female, 27.9%Male, 79.6% Female, 20.4%
Race ratioBlack or African American, 8.5% Unknown, 4.9% Hispanic or Latino, 9.6% Asian, 25.4% White, 51.4% American Indian and Alaska Native, 0.2%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 Percentage8%9%

Differences between sap consultant and data scientist duties and responsibilities

Sap consultant example responsibilities.

  • Serve as a liaison for managing requirements between the business, SME's and the development team.
  • Handle small-scale project to optimize and automate AP and FI processes, OSDB migration, fiscal year changes, and upgrades.
  • Manage the necessary extractors and perform the necessary enhancements.
  • Design and implement a strategy to manage e-procurement IDOC transmission and all relate failures/errors.
  • Evaluate new PeopleSoft functionality and suggest system enhancements to achieve optimum system performance and to streamline processes.
  • Master data changes are then reconcile with consolidation process resulting in BPC reports.
  • 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

Sap consultant vs data scientist skills

Common sap consultant skills
  • Sap Successfactors, 6%
  • Prototyping, 6%
  • Business Process, 5%
  • Master Data, 5%
  • Sap Hana, 4%
  • MM, 4%
Common data scientist skills
  • Python, 13%
  • Data Science, 10%
  • Visualization, 5%
  • Java, 4%
  • Hadoop, 4%
  • Tableau, 3%

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