In the rising global challenges in organizational data, the need for expert professional data scientists to emerge leading to massive Data Scientist Jobs, training and data scientist certification of personnel. To whom much is given, much is expected. This means the minimum annual average Data Scientist salary is $119,300 per year.
Data Scientist Salary and Net Worth
Data is used widely to determine the problem, analyze the steps for problem-solving and promote the growth of an organization. What this means is that Data Science is an infant and has grown out of the fields of statistical analysis and data mining.
For businesses to thrive very well in upcoming years, data scientists will be largely employed to oversee the analysis of data and mining data. Data science jobs will continue to be relevant up to 2030. Now, there is a catch. Several different roles and jobs come under the purview of data science.
Who is a Data Scientist?
A Data Scientist is a professional who collects large amounts of data using analytical, statistical, and programmable skills. It is their responsibility to use data to develop solutions tailored to meet the organization’s unique needs.
Data Scientist Vs. Data Analyst
While a Data Scientist is a professional who collects and gathers large amounts of data using different AI methods, a Data Analyst is a person who gathers and interprets data to solve a specific problem. The two professionals work together to achieve the goal of solving organizational problems and highlight roles to move forward the organization’s objectives.
Data Scientist Job Role and Description
The data scientist jobs involve sorting information from various sources and resources and analyzing it to gain clear understanding of performance of the organization. The Data scientist uses statistical and analytical methods plus AI tools to automate specific processes within the organization and develop smart solutions to business challenges. After interpreting the data, they present the results clearly and interestingly. The objective is to help the organization analyze trends to make better decisions. Thus, a good data scientist needs to have the right combination of technical, analytical, and communication skills.
Data Scientist Salary per Year
In recent times, the annual average salary of a Data Scientist is $119,300 per year in the US. In the future, data scientist salary continues to grow in the package and job roles continue to be tedious and Salary continue to increase, as more Data Scientists continue to gain momentum.
Highest Paying Cities in the US for Data Scientists
City | Average Salary (per year) |
San Francisco, CA | $163,477 |
New York, NY | $139,774 |
Austin, TX | $131,133 |
Los Angeles, CA | $127,028 |
Chicago, IL | $122,438 |
Redmond, WA | $121,827 |
Atlanta, GA | $119,300 |
What are the Job Role and Responsibilities of a Data Scientist | What Does a Data Scientist Do?
The role and responsibilities of a Data scientist are enormous but a few are as follows;
- Extracting and Mining usable data from valuable data sources.
- Create and optimize classifiers using machine learning tools to select features.
- Carrying out the preprocessing of structured and unstructured data
- Enhancing data collection procedures to include all relevant information for developing analytic systems
- Processing, cleansing, and validating the integrity of data to be used for analysis
- Analyzing large amounts of information to find patterns and solutions
- Developing prediction systems and machine learning algorithms
- Presenting results in a clear manner
- Propose solutions and strategies to tackle business challenges
- Collaborate with Business and IT teams
Data Scientist Skills
- You must Possess Programming Skills – R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
- You must Possess Statistical skills – including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
- You must possess good knowledge of Machine Learning – like k-Nearest Neighbors, Naive Bayes, SVM, and Decision Forests.
- Strong Math Skills (Multivariable Calculus and Linear Algebra) – understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
- You must be proficient in Data Wrangling – imperfections in data is an important aspect of a data scientist job description.
- You must be Experienced with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau help to visually encode data
- Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
- Strong Software Engineering Background
- Hands-on experience with data science tools
- Problem-solving aptitude
- Analytical mind and great business sense
- A degree in Computer Science, Engineering or a relevant field is preferred
- Proven Experience as a Data Analyst or Data Scientist
Data Scientist Certifications
Data science certifications allow you not only to develop skills that are hard to find in your desired industry but also to validate your data science know-how so that recruiters and hiring managers know what they’re getting if they hire you.
The top listed Data Science Certification that will boost your career are as follows;
- Certified Analytics Professional (CAP)
- Cloudera Data Platform Generalist Certification
- Data Science Council of America (DASCA) Principal Data Scientist (PDS)
- Data Science Council of America (DASCA) Senior Data Scientist (SDS)
- IBM Data Science Professional Certificate
- Microsoft Certified: Azure AI Fundamentals
- Microsoft Certified: Azure Data Scientist Associate
- Open Certified Data Scientist (Open CDS)
- SAS Certified Advanced Analytics Professional using SAS 9
- SAS Certified AI and Machine Learning Professional
- SAS Certified Data Scientist
- Tensorflow Developer Certificate