7. Full Stack Developer
Full stack developers continue to be in high demand, and it’s easy to see why: a full stack developer is able to work on both the front-end and back-end of an application, making them an incredibly valuable asset.
6. Director of Data Science
If you love research, technology, and building effective teams, the role of director of data science could be for you. People in this role are responsible for understanding best practices and technologies, providing mentorship and guidance to the data science team, and evaluating infrastructure and methodologies for data storage and analysis.
5. Unity Developer
4. Full Stack Engineer
A full stack engineer has a range of expertise, including full stack web and dev, as well as low level and high level programming, sys/admin, DevOps, and more, according to Quora. A full stack engineer may also be responsible for architecture and design.
3. Big Data Developer
Big data developers are responsible for programming big data applications, and must have an understanding of big data platforms and technologies such as Hadoop and Apache Spark. They typically work with the big data systems engineer and data scientist (next slide).
2. Data Scientist
Data scientist job responsibilities can vary depending on the company, but a data scientist is typically tasked with conducting research, cleaning and examining data, and inventing new algorithms. A data scientist is also responsible for pulling together data in a digestible way for management and lines of business, which makes great communication skills as important as technical know-how in this job.
1. Machine Learning Engineer
Machine learning engineers have stronger software engineering skills than typical data scientists, and have a grasp on issues that are specific to monitoring data products in production, according to O’Reilly. Machine learning engineers are involved in software architecture and design, and know how to do A/B testing on production systems.