Data Scientist Jobs: What a Search on LinkedIn Reveals

A quick search on LinkedIn reveals more than 312,000 data scientist jobs nationwide. More than 220,000 of these jobs were posted in the last month. More than 19,000 were posted in the last 24 hours alone, suggesting that those who pursue a data science degree can literally (and figuratively) bank on job security.

Data scientists in demand

Data scientists work in virtually every industry, including healthcare, computer science, information technology, retail, marketing, manufacturing, transportation, communication, education, insurance, finance, science, security, government, nonprofit, and law enforcement just to name a few. Companies such as Facebook, Amazon, IBM, Kayak, Capital One, The New York Times, and others continue to clamor for those with data science training who can drive business intelligence using voluminous and complex data.

What exactly are these and other companies looking for? Following are just a few snippets taken verbatim from data science job openings posted recently on LinkedIn:

• Use big data tools (e.g., Hadoop, Spark, H2O, and AWS) to conduct the analysis of billions of customer transaction records.
• Establish scalable, efficient, and automated processes for large-scale data analyses that will tie into production systems.
• Use predictive analytics and machine learning to create new products or drive business decisions.
• Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
• Interpret, document, and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations based on customer-centric data.

Finding the right data scientist training

Employers want to hire data scientists who don’t just know the technology but who know what to do with it; agile communicators who are well-rounded can remain flexible as new challenges and business needs arise. If you’ve thought about pursuing a career in data science, look for a program that provides not only a solid foundation rooted in statistics and computer programming but also one with instruction in economics, business management and communication.

Get Program Guide

Get Guide

Learn more about our 100% online degree and certificate programs.

Name

This field is for validation purposes and should be left unchanged.

First Name(Required)

Last Name(Required)

Email(Required)

Phone(Required)

Program of Interest(Required)

* Please select the program you are most interested in...Agile Project Management - CertificateAgile Project Management - CertificateApplied Bioinformatics - CertificateApplied Biotechnology - Master's DegreeApplied Computing - Bachelor's CompletionAssociate of Arts and Sciences - Semester-basedAssociate of Arts and Sciences - Competency-basedBiodiversity and Conservation Science - CertificateBiodiversity Conservation and Management - Master's DegreeBSN@Home - Bachelor's CompletionBusiness Administration - Bachelor's CompletionBusiness Analytics - CertificateClimate Leadership - CertificateClinical Mental Health Counseling - Master's DegreeConservation Data Management and Analysis - CertificateConservation Leadership, Policy, and Management - CertificateCybersecurity - Master's DegreeData Science - Master's DegreeData Science - CertificateDiagnostic Imaging - Bachelor's CompletionDigital Marketing Analytics - CertificateDigital Marketing Management - CertificateEmerging Technologies in Fintech - CertificateEnterprise Infrastructure - CertificateEnvironmental Sustainability - CertificateEnvironmental, Social, and Governance (ESG) - CertificateFoundations of Biodiversity Conservation and Management - CertificateFoundations of Health and Wellness - CertificateHealth and Wellness Management - Master's DegreeHealth Care Informatics - CertificateHealth Information Management & Technology - Bachelor's CompletionHealth Information Management & Technology - CertificateHealth Sciences - Bachelor's CompletionHealthcare Administration - Master's DegreeImproving Health with Data and Policy - CertificateInformation Science & Technology - Bachelor's CompletionInformation Technology Management - Master's DegreeInterprofessional Leadership in Healthcare - MicrocredentialIT Leadership - CertificateIT Operations - CertificateLeadership in Health and Wellness - CertificateLeading Fintech Transformation - CertificateNursing (RN to BSN) - Bachelor's CompletionNursing Home Administration - CertificateSubstance Use Disorders Counselor - CertificateSustainability and Well-being - CertificateSustainable Enterprise - CertificateSustainable Management - Bachelor's CompletionSustainable Management - Master's Degree

Current Education Level(Required)

* Select a Current Education LevelSome High School or lessHigh School Diploma/GEDSome CollegeAssociate Degree - Arts and SciencesAssociate Degree - TechnicalBachelor's DegreeGraduate Degree

Previous Education(Required)

* Select your previous educationI have an Associate Degree in Nursing (ADN)I am currently enrolled in an ADN programI do not have an ADN

Are you interested in pursuing the degree or taking one or two courses?(Required)

Degree

Courses

Can we text you?(Required)

Yes

No

By selecting yes, I agree to receive updates about online degrees, events, and application deadlines from the Universities of Wisconsin.

Msg frequency varies depending on the activity of your record. Message and data rates may apply. Text HELP for help. You can opt out by responding STOP at any time. View our Terms and Conditions and Privacy Policy for more details.

Wisconsin Online Collaboratives will not share your personal information. Privacy Policy

Δ

Aligning your education with the top 12 most in-demand data science skills

The interdisciplinary nature of the Universities of Wisconsin Data Science program caters directly to the types of skills that employers seek. Many employers require a master’s degree in data science or a comparable discipline (e.g., statistics, computer science, or mathematics) as well as the ability to perform these 12 most-common tasks:

• Create and manage simple databases in Access and SQL Server.
• Write and execute SQL statements to retrieve and manage data.
• Analyze data to solve basic analytics problems using Excel and R.

You’ll learn all of this and more, including how to use other well-known data science tools (e.g., PowerBI and Access) in the course, Foundations of Data Science.

• Use Python and R to analyze real-world data.
• Use an application programming interface (API) to collect real-world data from social media.
• Clean and format data for analysis.

You’ll learn all of this and more in the course, Programming for Data Science.

• Use tools and software such as Hadoop, Pig, Hive, and Python to compare large data-processing tasks using cloud-computing services.

You’ll learn this and more about big data analysis in the course, Big Data: High-Performance Computing.

• Help non-technical professionals visualize, explore, and act on data science findings.

You’ll master technical, informational, and persuasive communication in the course, Communicating about Data.

• Create effective visuals to maximize readability, comprehension, and understanding of complex datasets.

You’ll learn this and more in the course, Visualization and Unstructured Data Analysis.

• Use data and predictive analytics to inform the decision-making process.

You’ll learn this and more, including optimization, decision analysis, game theory, and simulation in the course, Prescriptive Analytics.

• Transform findings from data resources into actionable business strategies.
• Explain how data assets can be used to develop competitive advantage.

You’ll learn this and more about how to obtain decision-making value from an organization’s data assets in the course, Data Science and Strategic Decision Making.

In addition, the Universities of Wisconsin partners with an industry advisory board dedicated to helping students bridge the gap between classroom learning and real-life data science challenges. Their continual input helps ensure course content meets today’s employer needs in this rapidly evolving field. This makes for a smooth transition into the workforce.

Giving employers what they need and want

Upon completion of the Universities of Wisconsin master’s in data science program, individuals are prepared to:

1. Identify organizational questions for which data science can provide answers.
2. Collect and manage data to devise solutions.
3. Select, apply, and evaluate models to solve data science tasks.
4. Interpret data science analysis outcomes.
5. Effectively communicate data science-related information in various formats and for various audiences.
6. Value and safeguard the ethical use of data.
7. Transform findings from data resources into actionable business strategies.

Increase your value to employers seeking savvy, well-rounded data scientists by earning a Universities of Wisconsin master’s degree in data science. To learn more, download a program guide from our program page.