What does a Data Scientist II do?
Data scientists utilize their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. They then use this information to develop data-driven solutions to difficult business challenges. Data scientists commonly have a bachelor's degree in statistics, math, computer science, or economics. Data scientists have a wide range of technical competencies including: statistics and machine learning, coding languages, databases, machine learning, and reporting technologies.
Data Scientist II Career Path
Learn how to become a Data Scientist II, what skills and education you need to succeed, and what level of pay to expect at each step on your career path.
Data Scientist II Insights
“The domain is incredibly fascinating and the chance to work with metallurgists is really awesome.”
“Excellent leadership and a motivated team make Intellibonds a fantastic firm from which to advance a career.”
“Management really makes an effort to make sure you develop your career and skills in the way that you want”
“I really enjoyed the opportunity to experiment and try new/state of the art techniques in the DS team”
“There are quite a few reviews saying promotions are political and I just don't see that.”
“Cafeteria didn't provide great range in cuisines and passes the hygiene test just above average.”
“I’ve been promoted twice during my time here and continue to have great personal and career growth.”
“This is a good place once you want your career to coast and build your 401k and HSA.”
Data Scientist II Interviews
Data Scientist II jobs
Frequently asked questions about the role and responsibilities of a data scientist ii
When working as a data scientist ii, the most common skills you will need to perform your job and for career success are Statistics, Machine Learning, Python, Datasets and Programming Languages.
- Bi Analyst
- Bi Manager
- Data Analyst
- Bi Engineer
The most common qualifications to become a data scientist ii is a minimum of a Bachelor's Degree and an average of 0 - 1 of experience not including years spent in education and/or training.