Skip to main content
SpringerLink
Log in

Building Data Careers

  • Chapter
  • First Online:
Data Science Careers, Training, and Hiring

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

  • 935 Accesses

Abstract

The most appealing thing about a career in data is that you have the world open to you. Data is the modern gatekeeper, getting you into almost any arena. The challenge in building a data career is the misconception that the typical career path rolls out in a linear or stepwise way. There are a number of paths and specialties that can be taken or pursued, but they are not neatly outlined, as the Data Science field itself is new. We will discuss career options, the skills you may need for those options, pros and cons of different types of training programs from online courses to full Data Science degrees, including a list of over 460 Data Science degree programs across the country. We will touch on the job market, the ups and downs of management and location, as well as experiences from real data scientists.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. 2018. Data Scientist Skills. Retrieved from https://www.datasciencedegreeprograms.net/skills/

  2. 2018. Data Science Jobs. Retrieved from https://www.datasciencedegreeprograms.net/jobs/

  3. 2018. Job Profile: Data Engineer. Retrieved from https://www.datasciencedegreeprograms.net/job-profiles/data-engineer/

  4. Evans, C. (2018, August 27). Beyond the unicorn: 4 developing data scientist career paths. Retrieved from https://www.burtchworks.com/2018/08/27/beyond-the-unicorn-4-developing-data-scientist-career-paths/

  5. Tyka, M. (2015, June 19). These are what the Google artificial intelligence’s dreams look like. Retrieved from https://www.popsci.com/these-are-what-google-artificial-intelligences-dreams-look

  6. Bergstrom, C. and West, J. (2017). Retrieved from https://callingbull.org/

  7. Kwartler, T. (2017, February 4). How AI is chaing the way we assess vehicle repair. Retrieved from https://venturebeat.com/2017/02/04/how-ai-is-changing-the-way-we-assess-vehicle-repair/

  8. Bresnick J (2018), Top 5 Use Cases for Artificial Intelligence in Medical Imaging. Retrieved from https://healthitanalytics.com/news/top-5-use-cases-for-artificial-intelligence-in-medical-imaging

  9. Rayome, A. (2018, February 15). How Sephora is leveraging AR and AI to transform reatil and help customers buy cosmetics. Retrieved from https://www.techrepublic.com/article/how-sephora-is-leveraging-ar-and-ai-to-transform-retail-and-help-customers-buy-cosmetics/

  10. Lambert, J. (2019). Computer vision companies. Retrieved from http://www.lengrand.fr/computer-vision-companies/

  11. (2017). Pyimage Jobs. Retrieved from https://jobs.pyimagesearch.com/ref/3/

  12. (2019). Lucidworks Customers. Retrieved from https://lucidworks.com/customers/

  13. (2012). Lucidworks Compaies Using Lucene/Solr. Retrieved from https://lucidworks.com/2012/01/21/who-uses-lucenesolr/

  14. (2019). Elasticsearch on stackshare. Retrieved from https://stackshare.io/elasticsearch/in-stacks

  15. McClelland, C. (2017, December 4). The Difference between artificial intelligence, machine learning, and deep learning. Retrieved from https://medium.com/iotforall/the-difference-between-artificial-intelligence-machine-learning-and-deep-learning-3aa67bff5991

  16. Ulbert, S. (2015, September 15). The difference between predictive maintenance and preventative maintenance. Retrieved from https://www.coresystems.net/blog/the-difference-between-predictive-maintenance-and-preventive-maintenance

  17. Ulbert, S. (2015, September 15). The difference between predictive maintenance and preventative maintenance. Retrieved from https://www.coresystems.net/blog/the-difference-between-predictive-maintenance-and-preventive-maintenance

  18. Giang, V. (2013, March 14). Companies are putting sensors on employees to track their every move. Retrieved from https://www.businessinsider.com/tracking-employees-with-productivity-sensors-2013-3

  19. (2019). Companies using Iot. Retrieved from https://www.silicus.com/lp/e/azure-iot-development-services/?pi_campaign_id=63186&utm_campaign=Azure%20IoT%20Services&utm_source=PPC-Adwords&utm_medium=cpc&utm_term=Internet%20of%20things%20consulting&pi_ad_id=250023919173&utm_content=Internet-Of-Things-Consulting&gclid=Cj0KCQjwrszdBRDWARIsAEEYhrcHS-RgqLvIr79bUcotqS55sGyOaE_x3EJ9H-_ysMM0yEy_gVKpTLwaArTrEALw_wcB

  20. (2018). Data science project scoping guide. Center for Data Science and Public Policy – The University of Chicago. Retrieved from https://dsapp.uchicago.edu/home/resources/data-science-project-scoping-guide/

  21. Wheele, L. (2015, March 3). CDC: 1 in 6 truck drivers doesn’t wear a seat belt. Retrieved from http://thehill.com/regulation/234455-1-in-6-truck-drivers-dont-wear-a-seat-belt-cdc-says

  22. Suda, B. (2018). 2017 Data Science Salary Survey. O’Reilly Media, Inc.

    Google Scholar 

  23. National Academies of Sciences, Engineering, and Medicine. (2018). Data Science for Undergraduates: Opportunities and Options. Washington, DC: The National Academies Press. https://doi.org/10.17226/25104

  24. Rawlings-Goss. (2018). Keeping Data Science Broad: Negotiating the Digital & Data Divide. National Science Foundation. Retrieved from https://drive.google.com/file/d/14l_PGq4AxOP9fhJbKqA2necsJZ-gdiKV/view

  25. Gould, R., Peck, R., Hanson, J., Horton, N., Kotz, B., Kubo, K., Malyn-Smith, J., Rudis, M., Thompson, B., Ward, M., Wong, R. (2018). The two-year college data science summit Report. https://www.amstat.org/asa/files/pdfs/2018TYCDS-Final-Report.pdf

  26. (2019). Data science certificate. Retrieved from https://www.extension.harvard.edu/academics/professional-graduate-certificates/data-science-certificate

  27. Business-Higher Education Forum. (2018). Building a diverse cybersecurity talent ecosystem to address national security needs. http://www.bhef.com/sites/default/files/2018BHEFUSMCaseStudy.pdf

  28. Business-Higher Education Forum. (2018). Building a diverse cybersecurity talent ecosystem to address national security needs. http://www.bhef.com/sites/default/files/2018BHEFUSMCaseStudy.pdf

  29. Business-Higher Education Forum. (2017). Investing in America’s data science and analytics talent. PWC Business Higher Education Forum. http://www.bhef.com/sites/default/files/bhef_2017_investing_in_dsa.pdf

  30. U.S. Census Bureau. (2017, October 24). Employment Projects: 2016-26 Summary (Report USDL-17-1429). https://www.bls.gov/news.release/ecopro.nr0.htm

  31. U.S. Census Bureau. (2017, October 24). Employment Projects: 2016-26 Summary (Report USDL-17-1429). https://www.bls.gov/news.release/ecopro.nr0.htm

  32. Burning Glass Technologies (January 2017). Job post estimates include actual job growth, job replacements, and churn

    Google Scholar 

  33. Business-Higher Education Forum. (2017). Investing in America’s data science and analytics talent. PWC Business Higher Education Forum. http://www.bhef.com/sites/default/files/bhef_2017_investing_in_dsa.pdf

  34. Columbus, L. (2017, December 11). LinkedIn’s fastest-growing jobs today are in data science and machine learning. Retrieved from https://www.forbes.com/sites/louiscolumbus/2017/12/11/linkedins-fastest-growing-jobs-today-are-in-data-science-machine-learning/#1ae629151bd9

  35. Wheeler, S. (2018, August 28). Data science career advice to my younger self. Retrieved from https://towardsdatascience.com/data-science-career-advice-to-my-younger-self-4c37fac65184

  36. Chen, L. (2017, November 1). Alibba, Tencent pressured to live up to $450 billion rally. Retrieved from https://www.bloomberg.com/news/articles/2017-11-01/alibaba-tencent-face-pressure-to-live-up-to-450-billion-rally

  37. Business-Higher Education Forum. (2017). Investing in America’s data science and analytics talent. PWC Business Higher Education Forum. http://www.bhef.com/sites/default/files/bhef_2017_investing_in_dsa.pdf

  38. Burtch, L. (2017). The Burtch Works Study: Salaries of Data Scientists. Burtch Works, Executive Recruiting. http://www.burtchworks.com/wp-content/uploads/2017/05/DS-2017-Industry.pdf

  39. Agrawal, S. (2017, October 8). Why hospitals need better data science. Retrieved from https://hbr.org/2017/10/why-hospitals-need-better-data-science

  40. Coursera (2019). Global Skills Index. Retrieved from https://www.coursera.org/gsi

Download references

Author information

Authors and Affiliations

  1. Georgia Institute of Technology, Atlanta, GA, USA

    Renata Rawlings-Goss

Authors
  1. Renata Rawlings-Goss
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

Copyright information

© 2019 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Rawlings-Goss, R. (2019). Building Data Careers. In: Data Science Careers, Training, and Hiring. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-22407-3_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-22407-3_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22409-7

  • Online ISBN: 978-3-030-22407-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation