From Dissertation to Data Science: A PhD’s Guide to Transitioning into Data-Oriented Roles in Business

In the transition from the halls of academia to the corridors of industry, PhDs often carry a treasure trove of untapped potential, yet unlocking the journey can feel like deciphering a hieroglyphic language. The key, however, isn’t found in the dense texts of your dissertation, but in the artful translation of your research, analytic prowess, ad innovative thinking into the language of business. This guide will help illuminate how your academic journey has equipped you with a wealth of skills to navigate the transition, turning your PhD experience into a launching pad for a thriving industry career in data. 

WHAT ARE SOME PROMISING DATA-ORIENTED INDUSTRY CAREER PATHS? 

There are three industry career paths that stand out as ripe with opportunity for PhD-level jobseekers. These domains hold the promise of challenging work, impactful projects, and the chance for PhDs to wield data as a tool for strategic decision-making. 

Business Intelligence Analyst 

PhDs’ expertise in data analysis and ability to interpret complex data sets are directly applicable. The skill to communicate findings effectively can help organizations make informed business decisions. 

Data Scientist / Analyst 

The statistical analysis, experimental design, and problem-solving skills developed during your PhD are crucial for creating data models and conducting data-driven research that uncovers actionable insights. 

Data Engineer 

PhDs’ experience with data management, including structuring and maintaining large data sets, prepares you for roles focused on building and optimizing data systems and infrastructure for efficient data use. 

HOW DO PHD SKILLS TRANSLATE TO INDUSTRY VALUE? 

Your value to industry is more about your skills and abilities than the degree itself. The transition from academia to industry is one of transformation, where your rigorous research, analytic thinking, ad problem-solving capabilities are artfully repurposed. For data roles, there are three key transferrable skills that PhDs bring to the table: 

Analytic Skills 

Experience with statistical methods, data interpretation, and familiarity with programming languages (such as Python and R) relevant to analyzing and managing data. 

Project Management and Collaboration 

The ability to lead projects, meet deadlines, and work collaboratively with diverse teams, demonstrating your potential to manage complex projects in a business environment. 

Effective Communication 

The ability to breakdown complex information into simple concepts, clearly and concisely is invaluable, especially when explaining insights to a non-technical audience. 

HOW TO LAND AN INDUSTRY ROLE IN DATA? 

On your resume, highlight 2-3 significant projects from your academic career or other relevant experience. Briefly describe each project, focusing on the problem you addressed, the methods you used (in non-technical language) and the outcomes you achieved, quantifying your impacts wherever possible. 

For example: “Analyzed a dataset of over 1 million records to identify patterns that led to a 15% reduction in carbon emissions.” 

During the interview, use the STAR method to structure your responses to behavioral questions by describing the Situation, Task, Action, and Result to demonstrate the application and impact of your skills and contributions. Tailor your examples to align with the types of scenarios or skills outlined in the job description and information available on the company website. 

Leverage your online presence to reflect who you are, how you communicate, and contribute to show your expertise and value. 

SUMMING IT UP 

Transitioning from academia to industry, PhDs possess unique skills that are ideal for careers in data. But the ability to make the move rests on your ability to shift from an academic mindset where the value is placed on the publications and degrees, to a business mindset, where the value is placed on skills and impact-based outcomes. With the right approach, your career change can lead to massive contributions to the business community. 

-Angela Priest, COO, Alma.Me