4 Sets of Soft Skills for Tech Professionals

Scrolling through job postings can feel like walking through the grocery store, shopping list in tow, as applicants check off the items already in their cart: a bachelor’s degree in a related field, three years of experience data mining and proficiency in Python.

But other requirements aren’t as easy to mark complete. Great teammate, problem solver, can-do attitude—these soft skills don’t come with a certificate but are often just as desirable.

Soft skills are traits or behaviors that are learned and applied situationally. Unlike hard or technical skills, they are not dependent on knowledge learned in specific areas. Job postings, even for technical professions, strike a balance between the two.

For example, an application for a data scientist at Apple asks for Hadoop and code writing experience, but it also emphasizes the need for a self-starter and versatile problem solver.

And in a study of Fortune 500 CEOs, research showed that 75% of long-term career success depends on soft skills rather than technical skills.

LinkedIn data predicted the most in-demand hard and soft skills for 2019.

Hard Skills

  • Cloud computing
  • Artificial intelligence
  • Analytical reasoning
  • People management
  • UX design

Soft Skills

  • Creativity
  • Persuasion
  • Collaboration
  • Adaptability
  • Time management

But the path to building soft skills isn’t always clear. How can tech professionals work on their creativity, collaboration and problem-solving skills in concrete ways that make them more desirable applicants?

Below are four sets of soft skills and recommendations for ways to build them in the workplace.

University of California, Berkeley

Ad

Master of Information and Data Science

The No.1-ranked master of information and data science (MIDS) delivered online from the UC Berkeley School of Information (I School) is for professionals looking to become leaders in the field of data science. 1 The program features a multidisciplinary approach to the data life cycle, from planning and gathering data to analyzing and presenting findings. Coursework examines issues of privacy, explores machine learning, and considers techniques of data storage and management. Class sessions are delivered live online and are taught by many of the same I School faculty and data science professionals who teach our on-campus programs. #1 Best Online Master’s in Data Science Programs, Fortune, Ranked in 2024.

  • Complete in as few as 12 months
  • No GRE required

The University of North Carolina at Chapel Hill

Ad

Master of Applied Data Science

In UNC-Chapel Hill’s online Master of Applied Data Science, you’ll gain a comprehensive understanding of the data life cycle, technical expertise in advanced programming and machine learning, and opportunities to connect with industry professionals in North Carolina and beyond. Complete the program in as few as 16 months, full time. No GRE required.

  • Complete in as few as 16 months full time.
  • No GRE scores required.

Syracuse University

Ad

Master of Science in Applied Data Science

The online Master of Science in Applied Data Science at Syracuse University is an interdisciplinary program offered by the School of Information Studies and the Martin J. Whitman School of Management. The curriculum requires 36 credits, including electives that allow candidates to develop deep knowledge in their area of specialty. Students must compile a portfolio of projects to submit for faculty review. Online course content focuses on collaboration and includes face-to-face classes, project-based work, and 24/7 access to materials. Applicants must have a bachelor’s degree and must submit transcripts, a personal statement, resume, and two recommendations. No GRE Scores Required.

  • Complete in as little as 18 months
  • No GRE scores required to apply

Southern Methodist University

Ad

Master of Science in Data Science

DataScience@SMU is an online Master of Science in Data Science program that prepares students with the fundamental skills needed to be sought-after data science leaders in a variety of industries. Students learn from cross-disciplinary SMU faculty in online classrooms with a small student-to-professor ratio. DataScience@SMU students gain highly in-demand skills in working with unstructured data, big data processing, statistical analysis, text mining, machine learning, and business analytics.

  • No GRE required.
  • Complete in as little as 20 months.

Maryville University

Ad

Master's in Data Science

With Maryville University’s 100% online MS in data science, you’ll prepare to collect and analyze data, manage teams and create data-driven strategies. Develop coding skills in Python, SQL, R and SAS, and build proficiency in machine learning, data mining, big data and deep learning. Choose from three start dates per year, and graduate in as few as two years. No GMAT/GRE scores required.

  • No GMAT/GRE scores required.
  • 100% online MS in data science.

Hawaii Pacific University

Ad

Master of Science in Data Science

The online MS in Data Science program from Hawai‘i Pacific University prepares students to interpret unconventional data, strengthen creative problem-solving skills, and apply cutting-edge data analysis expertise to nearly every industry. Through collaborative online classes led by expert faculty, students explore both foundational data analysis techniques as well as emerging applications of data collection and interpretation. The curriculum is designed to bring students into the modern era of data analysis by going beyond traditional data science approaches. That means covering topics such as AI and machine learning, big data analytics, GPU-based high-performance computing, cloud computing, and more. Students graduate prepared to showcase their skills to future employers and become responsible data leaders in their field.

  • 12 months to complete full time and 24 months part time
  • Standardized test scores not required (No GRE/GMAT)
  • Students learn key skills such as data analysis, data mining, data visualization, programming, machine learning, and more

1. Critical Thinking Skills

Critical thinking encompasses a range of analytical and reasoning skills, but the main tenet is the ability to think logically. This includes reflecting on personal knowledge, performing objective analysis and presenting authentic arguments.

People who engage in critical thinking may find it easier to make evidence-based decisions, recognize errors and remove their own personal feelings from business processes.

Some examples of requests for critical thinking skills in a job application include:

  • Problem solver
  • Can deconstruct issues
  • Able to link related ideas
  • Capable of identifying inconsistencies and errors

Ways to Build Critical Thinking Skills

Engage in Mind Mapping Exercises

Mind mapping is a method of visually organizing information and the thinking process. Practice using tools like MindMup, XMind and Lucidchart. It’s an effective way of documenting ideas in one place, and it also helps you practice clearly linking those ideas. With a big picture understanding of a project, you can better strategize, organize and accomplish tasks.

Conduct Postmortems

Formally engage in self-reflection at the end of a project. Instead of thinking to yourself, “How did that go?” take time to document thoughts. Invite other team members to participate and answer some of the following questions:

  • How did this project turn out? Was it a success?
  • How would you describe the successes or challenges of this project to someone?
  • What would you change about your process next time?
  • What were some unexpected challenges you experienced? Were there any warning signs?
  • What did you accomplish best during this project? How can you mimic those things in the future?

Play Devil’s Advocate

Think a few extra steps ahead and ask, “What are the potential outcomes for this decision, even if I think it is the best idea?” Alternatively, actively consider any opposing sides and try to come up with the best possible reasons to support them. Do this for the benefit of the decision at hand—the purpose is to make ideas stronger, not derail processes.

Other resources for building critical thinking skills include:

2. Creative Thinking Skills

Creative thinking isn’t just for artists—it includes skills highly sought after in tech professionals. Coming up with unorthodox solutions to a data problem, seeking entirely new processes and formulating a programming workaround are just some of the ways creativity benefits all kinds of workplaces.

Creative thinking combines reason with out-of-the-box ideation. How can things be done differently?

Some examples of requests for creative thinking skills in a job application include:

  • Curiosity driven
  • Innovative or imaginative
  • Flexible/adaptable
  • Artistic/design oriented

Ways to Build Creative Thinking Skills

Leave Your Lane

Consider an issue affecting your team that needs attention but seems to be waiting for someone to take control. Start to tackle it as a team, even if you personally feel out of your comfort zone. Forcing yourself to problem-solve in a new area may be challenging, but it will also prompt innovation.

Redesign Methods

Before starting a routine project, take time to rethink processes. Use previous post-mortems and feedback and consider: What’s something new that you could try here? What can be done differently? Combine these considerations with critical thinking skills to make sure that decisions remain logical.

Take Up Passion Projects

Set aside time every week to work on a nontraditional project at your own pace. This could rely on new hard skills—trying a coding language, practicing data mining or experimenting with UI—but will also force you to problem solve in nontraditional ways. Some examples include updating your personal website, recreating an ambitious visualization project or tinkering with an unfamiliar dataset.

Other resources for building creative thinking skills include:

3. Interpersonal Skills

Interpersonal skills demonstrate the ability to work well with and among others. Employees with these skills are usually seen as not just a culture fit but also a culture add. They collaborate successfully and often and are routinely on both ends of the feedback dialogue. Also called “people skills,” these strengths are fundamental to the workplace.

Some examples of requests for interpersonal skills in a job application include:

  • Highly collaborative
  • Team player
  • Empathetic
  • Loves learning from others
  • Respectful and open minded

Ways to Build Interpersonal Skills

Step Into New Shoes

Ask to spend lunch with a colleague you don’t work with often to learn more about their job. Conversations like these can help you figure out your role in a larger system. Try asking some of the following questions:

  • What is a typical day like for them?
  • What are some of the most common problems they experience?
  • Are there any common issues when working with your team?
  • Is there anything you can provide help or expertise with?

Expand Your Team

Ask a colleague who might be unfamiliar with your work to sit in on a meeting or consult on a project. Actively work to encourage a consistent exchange of information using cross-team lunches, open meetings, office hours, and presentations. Bringing in new voices will prompt collaboration and original ideas.

Learn More About People

Personality tests don’t fully define people, but they prompt self-reflection and guidance that can be useful in the workplace. Using personality tests in the office can help you learn what motivates people. Does someone prefer working alone over brainstorming as a group? How do they best handle criticism and praise? Try systems like the Meyers-Briggs or Enneagram tests and actively use results to better the work environment.

Other resources for building interpersonal skills include:

4. Communication Skills

Communication relies on the ability to exchange information with others. It encompasses everything from a message with a colleague to a presentation in front of the department.

And while not everyone is or needs to be adept at the whole spectrum of communication, there are ways to improve those skills in small but meaningful ways. Employees who are great communicators can save time and money through clear directions and feedback.

Some examples of requests for communication skills in a job application include:

  • Good listener
  • Comfortable with public speaking and presenting ideas
  • Responds well to feedback
  • Clear and concise communicator

Ways to Build Communication Skills

Find Teachable Moments

It’s rare that your work will be presented in a vacuum, so don’t create it in one. Practice describing what you might have considered inexplicable to someone unfamiliar with your work. Ask for the time of a friend, family member, or colleague on another team and describe the project to them as clearly as possible. Forcing yourself to remove jargon and your own assumptions can help focus your work.

Recognize NonVerbal Cues

Understanding what people are saying when they aren’t speaking is a powerful communication tool. The different types of nonverbal communication include:

  • Facial expressions
  • Body movement and posture
  • Gestures
  • Eye contact
  • Touch
  • Space
  • Voice

Learn more about nonverbal cues and practice responding to them.

Ask for Edits

Send a proof, prototype or first draft to a colleague who has the space to provide comments. Try including the specific questions you’re seeking feedback on:

  • How can you make this clearer for the intended audience?
  • What does the reader think the main purpose of this project is? Does that align with the actual goal?
  • What are the reader’s initial reactions and questions?
  • If the reader could request any change, what would it be?
  • What does the reader think is done well in this piece?

Other resources for building communication skills include:

Information last updated: August 2026