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What Is a Data Scientist? How to Become One, Salary, Skills.
Data scientists have emerged alongside the phenomenon of big data in order to help businesses organize and make sense of the large sets of data being produced every day. Here’s what to know about a data scientist’s salary, needed skills and how to become one.
What Is a Data Scientist?
A data scientist is responsible for drawing insights and making informed predictions about industry trends and the company’s growth through detailed data analysis. Data scientists utilize computer programming languages, descriptive statistics and machine learning techniques to conduct this analysis. Data scientists also frequently work alongside data engineers to accomplish their work.
What Do Data Scientists Do?
A data scientist analyzes data sets to discover actionable patterns and trends for business use. Based on their findings, a data scientist makes recommendations to enterprise stakeholders to guide product development and future business planning decisions.
Data Scientist Responsibilities
- Find, filter and analyze patterns and trends from manipulated data sets.
- Build statistical algorithms and predictive data models to forecast predictions.
- Use machine learning frameworks to train data models.
- Report findings and recommendations to enterprise stakeholders.
Day-to-Day Responsibilities of Data Scientists
- Test and modify data algorithms and models.
- Use big data tools like Apache Hadoop and Apache Spark to process data sets.
- Use data visualization tools like Tableau and Microsoft Power BI to compile and display findings.
- Collaborate and communicate between teams and stakeholders.
Data Scientists Within a Company
Data scientists are usually part of a data science, data analytics or product team within a company. They frequently work alongside data engineers, data analysts, statisticians and product managers.
Importance of Data Scientists
Data scientists help manage and interpret a company’s collected data, as well as help solve specific and complex problems that arise when navigating large data sets. Data scientists also help a company communicate the significance of its data and related activity to customers, clients and business partners.
What Skills Are Needed to Be a Data Scientist?
Qualifications to Be a Data Scientist
- Several years of entry-level data analysis, data engineering, business intelligence analysis or statistics experience.
- Ability to analyze and draw conclusions from data.
- Experience supporting teams in reaching their data goals.
Data Scientist Prerequisites
- Bachelor’s degree in data science, computer science, statistics or a similar field.
- Master’s degree in data science, information science or a similar field.
Data Scientist Hard Skills
- Data analysis, manipulation and mining.
- Computer programming languages (Python, R, SQL, SAS).
- Descriptive statistics and mathematics.
- Big data tools and databases.
- Machine learning knowledge.
Data Scientist Soft Skills
- Verbal and written communication.
- Teamwork and collaboration.
- Problem-solving.
- Critical thinking.
Tools and Programs Data Scientists Use
- Apache Hadoop
- Apache Spark
- Microsoft Power BI
- PyTorch
- Python
- R
- SAS
- SQL
- Tableau
- TensorFlow
How to Become a Data Scientist
Data Scientist Education and Experience
Data scientist candidates are often expected to have a bachelor’s degree in data science, computer science, statistics or a similar field. They also may have a master’s degree in data science, information science or a similar field to enter competitive or higher-level roles.
Candidates will also need to obtain several years of entry-level experience as a data analyst, data engineer, business intelligence analyst or statistician. Additionally, knowledge in the areas of programming languages (Python, R, SQL, SAS), big data, machine learning, data visualization and effective communication are recommended.
Data Scientist Certificates and Courses
- Intro to Data Science Webinar
- Data Science Accelerator
- 21 Data Science Bootcamps You Need to Know
- 21 Python Data Science Courses and Bootcamps to Know
- 20 Machine Learning Bootcamps and Classes to Know
Data Scientist Career Path
Data scientists tend to start their careers first as a data analyst or similar role before stepping into the official data scientist title. After becoming a data scientist, professionals can go on to be a senior data scientist or lead data scientist. From this point, professionals can choose to progress into management and leadership roles like principal data scientist, chief data scientist or director of data science.
Data Scientist Salary and Job Outlook
Data scientists are in-demand, with U.S. employment for the role projected to increase 36 percent by 2031.
The full compensation package for a data scientist depends on a variety of factors, including but not limited to the candidate’s experience and geographic location. See below for detailed information on the average data scientist salary.
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Data Scientist Certifications + Programs
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