3 answers
Omar
Student
Waterbury, Connecticut
5
Questions
3 answers
Jennifer Howard
Business Analyst
4
Answers
Cary, North Carolina
Updated
Jennifer’s Answer
A data scientist can do many things. Often it will depend on the actual job description that a particular company have given. Some similarities between the job include things such as gathering data with queries to a database, sorting/manipulating/cleaning data via database queries and tools, analyzing data using different tools such as Excel, SQL, Matlab, SAS, etc.
Jennifer recommends the following next steps:
Nicole Baillie
Data Analyst
483
Answers
Atlanta, Georgia
Updated
Nicole’s Answer
Hi Omar D. Thanks so much for your question. I see that you posted this question a little while ago so I hope my answer to you (or others who may read this response) is still helpful.
As indicated in some of the other answers to this question, a data scientist has a very important role to play in solving problems. Many times, the problem they are trying to help solve is a business problem. The advantage that a data scientist brings is their ability to gather, utilize and display data that demonstrates where the problem is, how long the problem has been there (so things like highlighting events that guides on when a problem started or stopped), and most most most importantly, what can be done to fix the problem.
Data scientists use data and data visualization to show what happens when a "fix" has been put in place so that the partners they work with can see the impact of their efforts. It can be a very rewarding experience to see the impact of a team's hard work play out in an independent space, like data and data analysis.
In my opinion, good data scientists recognize the importance of using good, independent data. They tend to be very open to sharing their approach, findings and recommendations. In this regard, data scientists operate like many other scientists in that they open their studies for "peer reviews" to ensure there is as little bias (lots of research available on what bias is) as possible in the problem being studied.
Finally, I think working in data science, as I have for at least half of my career, is a field that remains interesting because there are so many problems that can be/have been solved using key elements like coding, visualization tools and effective communication with knowledge partners.
I do hope you find this helpful and best of luck!
As indicated in some of the other answers to this question, a data scientist has a very important role to play in solving problems. Many times, the problem they are trying to help solve is a business problem. The advantage that a data scientist brings is their ability to gather, utilize and display data that demonstrates where the problem is, how long the problem has been there (so things like highlighting events that guides on when a problem started or stopped), and most most most importantly, what can be done to fix the problem.
Data scientists use data and data visualization to show what happens when a "fix" has been put in place so that the partners they work with can see the impact of their efforts. It can be a very rewarding experience to see the impact of a team's hard work play out in an independent space, like data and data analysis.
In my opinion, good data scientists recognize the importance of using good, independent data. They tend to be very open to sharing their approach, findings and recommendations. In this regard, data scientists operate like many other scientists in that they open their studies for "peer reviews" to ensure there is as little bias (lots of research available on what bias is) as possible in the problem being studied.
Finally, I think working in data science, as I have for at least half of my career, is a field that remains interesting because there are so many problems that can be/have been solved using key elements like coding, visualization tools and effective communication with knowledge partners.
I do hope you find this helpful and best of luck!
Dale Kowalski
Business Development
5
Answers
Lawrenceville, Georgia
Updated
Dale’s Answer
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals. They design data modeling processes, create algorithms and predictive models to extract the data the business needs, then help analyze the data and share insights with peers.
Essential Data Science Skills that need to be mastered:
Programming.
Statistics.
Machine Learning.
Linear Algebra and Calculus.
Data Visualization.
Communication.
Data Wrangling.
Software Engineering.
Despite a recent influx of early-career professionals, the median starting salary for a data scientist remains high at $95,000. Mid-level data scientist salary. The median salary for a mid-level data scientist is $128,750. If this data scientist is also in a managerial role, the median salary rises to $185,000.
Essential Data Science Skills that need to be mastered:
Programming.
Statistics.
Machine Learning.
Linear Algebra and Calculus.
Data Visualization.
Communication.
Data Wrangling.
Software Engineering.
Despite a recent influx of early-career professionals, the median starting salary for a data scientist remains high at $95,000. Mid-level data scientist salary. The median salary for a mid-level data scientist is $128,750. If this data scientist is also in a managerial role, the median salary rises to $185,000.