Are you interested in working in the technology space as a software engineer, applications developer, data analyst, or video game developer?

Many CS majors at Williams secure software engineer jobs or internships in the industry while others pursue a career at a start-up or in multi-media. Some Ephs will be computer science majors, and other students will major in Statistics, Economics, Studio Art, Math, Psychology, or English. See the importance of your liberal arts degree in the technology field.

Tech innovation continues to boom in every direction and in every industry. From machine learning, robotics, computer programming, AI, aerospace, and blockchain to social media communications, fin-tech, video games, and invention in medicine.  There are diverse career journeys, even ones you may not have thought of, connecting technical innovation with creative industries. Check out Why Innovation Needs Both Art and Science. Do you like tech & writing? Be a Technical Writer at Google!  Want to be the brains behind the scenes developing the newest version of your favorite video game? A video-game designer or programmer may be in your future. Love the sales process? Consider tech sales.

Sharldine Desire '17, from Black Duck Software at the 2017 Job Fair! Sharldine Desire ’17, from Black Duck Software at the 2017 Job Fair!
Wade Phenicie '14 from Cogo Labs at the 2017 Job Fair!  Wade Phenicie ’14 from Cogo Labs at the 2017 Job Fair! 
Students at Jane Street - Winning Team from Electronic Trading Challenger

The Career Center hosted Jane Street, a quantitative trading

firm from NYC, to hold an Electronic Trading Challenge.

Pictured here Winning team “Risky Business”

(also known as Karan Tibrewal, Nathan Andersen, Riwaz Poudyal).

  • Alumni Interviews 

    Data Analyst @ Sofi (Econ/Stats major)
    Data Scientist @ Uber (Math major)
    Business Intelligence: Business Operations and Strategy Associate @ Google (Economics major)
    Engineering Manager, Data [email protected] Github (Political Economy major)
    User Experience Researcher @ Google (Phd. Social-Personality Psychology)

    Internship and Job Search

    There is an increasing number of internship opportunities in different industries and company types in Data Science and Analytics, including marketing, consulting, finance, consumer products, startups, and, of course, all kinds of technology companies.

    While internships in Business Analytics or Data Science are not required prerequisites for either field, they help make students more competitive for entry-level jobs in the field. To be competitive for either internships or entry-level opportunities, students should have demonstrated quantitative skills and coursework (or, ideally a quant major). Broadly speaking – the types of skillsets, coursework, and experiences that make a student competitive for consulting also make them competitive for opportunities in Business Analytics.

    Job Search Links

    • LinkedIn Jobs – One of the best resources for Business Analytics and Data Science internships and connections.
    • Glassdoor – Surprising depth and breadth of Business Analytics and Data Science Internships and opportunities.
    • Indeed – General career search website with array of different Business Analytic related opportunities.
    • Simply Hired – Similar website to; decent opportunities in both Analytics and Data Science.

    Employers, Titles, and Professional Associations

    Given that the field is quickly growing, there are a number of places where students with an interest in Business Analytics and/or Data Science can land from traditional Fortune 500 companies to tiny startups. These include, but are not limited too, the following industries and subfields: marketing, consumer products, finance, consulting, healthcare, accounting, insurance, telecommunications, pharmaceuticals, biotech, and all types of technology companies (including companies specifically focused on Analytics).

    Typical titles for Business Analytics: Business Analyst, Data Analyst, Marketing Analyst, Data Consultant, Business Analytics Professional, and Predictive Analytics professional. 

    Typical titles for the field: Data Engineer, Data Analyst, Data Scientist, and Machine Learning Specialist or Engineer.

    Better known employers of Business Analytics professionals and Data Scientists:

    Google, Dell, Oracle, Splunk, Hewlett-Packard, Salesforce, Microsoft, Tabluea Software, IBM, Trifacta, Cloudera, Sumo Logic, Gainsight, Domo, Hortonworks, Informatic, Snap Logic, McKinsey, and Bain & Company.  For a more complete list of major employers, check out the following article: "TOP 50 BIG DATA ANALYTICS COMPANIES February 2019"

    Professional Associations

    Grad School and further education

    Given the ever-evolving nature of the field, students interested in breaking into the fields of Business Analytics and Data Science should get experience before attending graduate school. With that being said, there are a number of really good graduate programs in the field for professionals with relevant experience.

    Broadly speaking, programs in Data Analytics and Data Sciences can be broken up into Masters of Business Administration (MBA) programs and Masters of Science (MS) programs.

    MBA Programs are geared more towards professionals interested in making decisions about data, whereas MS programs focus more on the technical applications. Obviously, one’s background in either Business or Science (e.g., computer science or engineering), will make them a stronger candidate for their respective graduate program.  Increasingly, programs offer interdisciplinary options combining aspects of both Business and Science.

    Check out the following links for specific programs.

    Although specific undergraduate coursework in analytics and data science is not always available to liberal arts students, there are a number of free and paid courses that provide students with basics in the field. Here are a few:



    Resume Tips, Tech Interview Prep, and Salary Info

    Resumes To compete effectively for Business Analytics and Data Science jobs, it’s important that you highlight your relevant analytical, quantitative, and computer skills. Strong communication, writing, and interpersonal skills are also important, as entry-level employees generally work in small project-based teams.

    Below are a few things to be mindful of when drafting your resume:

    • Length – For entry-level professionals, resumes should generally be one page in length.
    • Objective – While most career counselors will tell you NOT to put an objective on your resume, many recruiters in the Business Analytics and Data Science recommend having one. If you choose to include one, make it targeted to the specific opportunities, highlighting the skills and credentials that make you a strong candidate.
    • Relevancy – Put your most relevant experiences in a “Relevant Experience” section.
    • Tangibility – Use your bullets to highlight BOTH your accomplishments and responsibilities, while making mention of problems solved and the techniques used.
    • Skills & Certifications – Be sure to list your technical skills and, if applicable, any certifications you received pertaining to the field.

    Interviews Preparing for interviews in the Business Analytics and Data Science fields can be tricky. Employers in the field typically ask a combination of traditional, behavioral, technical, and problem-solving questions. Though you typically won’t be expected to prepare for a formal CASE interview, doing a CASE practice interview can help prepare you to answer scenario-based questions you’re likely to encounter.

    Here are a few suggestions to effectively prepare:

    1. Research everything you can about the target organization and interviewers
    2. Craft a compelling, but true, reason for why you want the job
    3. Prepare 6-8 examples of relevant past accomplishments
    4. Use Glassdoor and your alumni network to get insights into the interview process and potential questions. Question types and interview strategies vary widely in the field and tend to be organization/opportunity specific.
    5. Prepare at least 3-5 questions to ask the interviewer. Check out the article here for tips for asking good questions.

    Interviewing Resources

    Salary Info

    Salary ranges for Entry-level jobs can range broadly, from mid 40’s to nearly 100k depending on the company, position, and your qualifications. Established tech companies, for instance, tend to pay really well and often offer stock packages that include generous benefits and vesting privileges. Startups, on the other hand, generally pay less, but offer candidates other perks, like company equity to incentivize performance.

    For region-specific salary ranges, consult the following tools:

    Thank you to Mike O'Connor, former-Director of Career Discovery at the '68 Center for Career Exploration,  for his original research and content for these resources.

    Additional Resources

    Changing the Curve: Women in Computing [Infographic]

  • Hackathons

    Participating in a hackathon is an excellent way for you to gain experience on real projects and meet other students and experts in the field, as well as recruiters from tech companies. One source of information on upcoming hackathons is here

    HackNY Fellows Program - the summer Fellows program pairs quantitative and computational students with startups. Students enjoy free housing together and a pedagogical lecture series to introduce them to the ins and outs of joining and founding a startup.

    Hacker School - 3-month immersive programming school in NYC that works closely with tech companies to recruit program graduates. It is free (housing not included although some grants are available to members of historically underrepresented groups) and the focus is self-directed learning in groups, no formal instruction.