Statistician Salary. The best paid statisticians have jobs in San Francisco and San Jose, where there are many technological companies out of Silicon Valley, as well as Boston, Washington D. Above-average pay correlates with skills in machine learning, data modeling, data mining, and the programming language Python. Statistician Job Outlook.
The amount of job growth projected for statisticians is looking incredibly positive in Over the next ten years, a projected 10, jobs will be added for statisticians. To take advantage of this growth surge, statisticians should be sure to remain up to date with the latest technologies and feel competent and comfortable with all aspects of data analysis.
How to become a Statistician — A Complete Career Guide Statisticians use the concepts of applied statistics to analyze large sets of data, interpret this data, and extrapolate meaning from it. What is a Statistician? What does a Statistician do? Clicking in this box will show you programs related to your search from schools that compensate us.
This compensation does not influence our school rankings, resource guides, or other information published on this site. Got it! Programs Online Resources Related Programs. Is data science just statistics on another level? This is a subject of some debate. While all of these fields deal with data, there are some subtle nuances as to how.
Data scientists think outside the structured box. Accounting for the surge of technology, those who wish to call themselves data scientists may now have formidable software engineering, machine learning and predictive analytics skills. Using theories and methods, statisticians collect, analyze and report on large sets of data.
A statistician deals with more theoretical aspects of data including mathematics and statistical modelling. Data analysts are primarily concerned with set tasks from analyzing migration patterns to calculating average conversation times for call center agents. They are given parameters and do their best to collect and analyze information from conventional sources.
With the rise of relational database systems like SQL, data analysts have more control over data sets and large quantities of data.
The future looks good for statisticians. Businesses, financial firms, government agencies, pharmaceutical companies and research groups need qualified statistical experts to make sense of the big data tsunami. Median salaries for statisticians will vary by level of education, experience, location and industry. Similar career options to statisticians include data scientist , data analyst and web developer. He points out that analysts are charged with cleaning, formatting, and integrating data so that it can be input into software to be analyzed.
In contrast, statisticians must be devoted to the computational nature of their work and be highly confident in their ability to solve complex mathematical equations. The demand for data analysts is similarly high, as it is for statisticians. Recent projections by IBM estimate that there will be more than 2.
By comparison, the aforementioned 33 percent growth rate for statistician jobs in the U. The earning potential for these roles is also promising.
Another possible alternative to a career in statistics could be to pursue a role in data science. While there is a fair amount of overlap between the fields of statistics and data science, there are several important distinctions. For example, whereas statisticians use mathematical analysis to solve real-world problems, data scientists take a multidisciplinary approach which is more focused on computing techniques in order to extract insights from data.
Unlike data analysts who interpret and draw conclusions from data sets, data scientists design processes for modeling data. Data science is a rapidly growing field that has caught the attention of those looking to break into a career that combines mathematical and statistical analysis, coding skills, and substantive expertise. Since this role is considered more senior than data analysts, it is common for employers to seek candidates with a graduate degree in data science or a related field.
Due to their expertise, data scientists can also expect competitive compensation. Consider your personal and professional goals to determine which path you want to follow. The data analytics program is suitable for people who are analytical thinkers and problem solvers and can be valuable to those with virtually any background.
On the other hand, if you aspire to become a data scientist, consider the benefits that earning an MS in Data Science can have on your career. Not only do employers value advanced degrees when recruiting for these positions, but choosing a program that is rooted in experiential learning can provide you with the hands-on learning and skills you will need to excel in the workplace.
No matter which path you choose, be sure to evaluate both your personal and professional goals to help you decide which career path is right for you. In an increasingly data-driven world, being able to translate information into meaningful insights that can be used by companies and organisations is a valuable skill to have Job options Jobs directly related to your degree include: Actuarial analyst Actuary Civil Service fast streamer Data analyst Data scientist Financial risk analyst Investment analyst Market researcher Operational researcher Statistician Jobs where your degree would be useful include: Business analyst Chartered accountant Economist Financial manager Financial trader Insurance underwriter Machine learning engineer Research scientist maths Remember that many employers accept applications from graduates with any degree subject, so don't restrict your thinking to the jobs listed here.
Work experience Work experience gives you the opportunity to put your statistics knowledge into practice in real-life situations. You can also develop your skills in statistics through work placements and internships in sectors such as: banking financial services market research operational research.
Typical employers The main employer of statisticians is the government. Typical employers include: financial and banking companies insurance and accountancy firms IT companies logistics and transport companies the NHS and private health companies market research organisations not-for-profit organisations and think tanks pharmaceutical industries universities and other education bodies.
Skills for your CV A degree in statistics equips you with strong data analysis and manipulation skills. You develop key skills in: analytical research methods interpreting results, drawing conclusions and recommendations from data identifying and working with patterns in data problem solving and logical thinking applying abstract mathematical concepts to practical problems.
You also develop general skills that all employers expect, including: communication presentation information management organisation and planning teamwork time management. Further study Some statistician jobs require a Masters or postgraduate degree.
Options at postgraduate level include: applied statistics medical statistics statistics and data mining. What do statistics graduates do? Destination Percentage Employed Type of work Percentage Business, HR and finance
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