Data Science career progression

The 89th edition of the Nubank Data Science and Machine Learning Meetup focused on the progression of careers in Data Science. 

This significant event marked the first in-person meetup since the start of the COVID-19 pandemic in 2020, bringing together a hybrid audience both in the office and remotely via Zoom. 

Moments like this bring us closer to reinventing one of the world’s biggest industries and building the purple future. Keep reading this article to learn the main takeaways and insights from the session.

Challenges and skills for junior and mid-level professionals

Unlike previous editions, this meetup was dedicated to discussing the progression from junior to senior levels and beyond from a Data Science perspective. 

The journey from junior to senior roles in Data Science is all about growth, both technically and personally. At the junior level, the primary challenge is learning how to translate business problems into Data Science problems. This skill, although difficult at first, becomes more intuitive with experience.

As professionals move to mid-level roles, they need to deepen their understanding of algorithms and enhance their ability to communicate effectively with business stakeholders. This means not only mastering the technical aspects but also being able to identify key questions and metrics that will drive the project’s success.

Another crucial aspect at these stages is regular, constructive feedback. This helps individuals understand their strengths and areas for improvement. But, of course, it’s essential to be proactive in seeking feedback and using it to grow. At Nubank we establish feedback as a gift, being  part of our collaborative and co-constructive culture based on teams composed of different expertise and functions.

Other areas that should receive attention during the career development stage are efficiency and impact. Early in their careers, data scientists should focus on building strong technical skills. As they progress, their ability to deliver impactful solutions efficiently becomes increasingly important.

Advice for data scientists just starting out

For those just starting in Data Science, there are several foundational skills to focus on. Proficiency in programming languages, particularly Python, highly recommended due to its versatility and extensive libraries, or R, due to its strong statistical analysis focus, is essential. 

Additionally, a solid understanding of data analysis and data visualization will provide a strong foundation for more advanced topics.

Building a diverse portfolio is also crucial. Engaging in a variety of projects can help demonstrate a wide range of skills and interests, making your learning curve easier in dynamic environments with a high volume of information.

Networking and finding mentors can provide invaluable guidance and support for your professional journey, facilitating further learning on topics that have not yet been explored and worked on. Besides that, establishing connections with experienced professionals in the field can open doors to new career opportunities.

Transitioning to leadership roles

At Nubank, transitioning from a senior role to a leadership position involves making a significant choice: whether to pursue a management path or remain an individual contributor. Each path has its unique challenges and rewards.

For those who choose management, the role requires a broad view and the ability to manage multiple projects simultaneously. This path is ideal for those who enjoy helping others grow and succeed in dynamic, cross-functional environments. Leadership also involves developing strong communication skills, especially when interacting with executive stakeholders. 

It’s essential to translate technical details into business outcomes and articulate how Data Science projects contribute to the company’s goals. This helps gain executive support and ensures that Data Science initiatives align with broader business strategies.

On the other hand, staying on the technical path allows for deep dives into complex problems and continuous technical mastery.

Regardless of your choice, at Nu there is always a seat for those who want to build the purple future. You just have to keep in mind that to do so, you’ll have to reinvent and make history by putting the customer at the center. Create spaces, break down barriers and take responsibility, as true owners of our business. That’s working at Nu!