Data scientist is not an easy profession to muster; it requires immense patience and perseverance, and more importantly, a knack of problem solving. In addition, an aspiring data scientist should also have the quality of exploration and most of the business problems may not be clearly stated; rather they emerge from the volume and velocity of data which gets accumulated through various business processes. Other than that, from a technical perspective, elementary knowledge on statistical models and a basic know-how of software products could be a worthy addition.
Here are 6 that would be great qualities for any aspirational data scientist:
- A Constant Pursuit of Learning
- An Insatiable Curiosity
- An Optimistic Stubbornness
- A Practical Bent
- A Healthy Dose of Skepticism
- A Love for Storytelling
Here are 4 more that should be developed over the course of one’s career:
- An Ability to Prioritize
- A Habit of Dependability
- An Impact-Driven Mindset
- An Intuition Steeped in Domain Knowledge