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Emerging Occupations

Data Miner

Data scientists explore large amounts of data to identify patterns and relationships between variables and make predictions. For example, they predict what groups of people will do in the future based on how they have acted in the past.

This is an emerging occupation. It may have evolved from an existing occupation or emerged in response to consumer needs or technological advances.

  • Avg. Salary N/A
  • Avg. Wage N/A
  • Minimum Education 4 years post-secondary
  • Outlook N/A
  • Employed 3,600
  • In Demand Medium
Also Known As

Data Miner, Data Mining Analyst, Data Processing Specialist

NOC Codes

In Canada, the federal government groups and organizes occupations based on a National Occupational Classification (NOC) system. This alis occupation may not reflect the entire NOC group it is part of. Data for the NOC group can apply across multiple occupations.

The NOC system is updated every 5 years to reflect changes in the labour market. Government forms and labour market data may group and refer to an occupation differently, depending on the system used.

This occupation has not yet received an official NOC code. However, it is considered similar to the following historical NOC codes. CAUTION—As this occupation is only similar to these NOC codes, related details and labour market information may not be accurate:

  • 2006 NOC: Database Administrators (2172.2) 
  • 2006 NOC-S: Database Analysts and Data Administrators (C072) 
  • 2011 NOC: Database analysts and data administrators (2172) 
  • 2016 NOC: Database analysts and data administrators (2172) 
Skills Shortage*

Employers that Recruited in the Last 2 Years

*This data is for a NOC group that is similar to the Data Miner occupation
Average Wage*
*This data is for a NOC group that is similar to the Data Miner occupation
  • Certification Not Regulated
  • Strength Required Lift up to 5 kg
Interest Codes
The Data Miner is part of the following larger National Occupational Classification (NOC).

*The Data Miner is similar to this NOC group
Database Administrators

Interest in co-ordinating information to develop policies and procedures for network access and usage and for the backup and recovery of data


Interest in precision working to implement and monitor data administration solutions, standards and procedures


Interest in consulting to conduct research and to advise on the collection, availability and suitability of data; may lead and co-ordinate teams of data administrators in the development and implementation of data policies, standards and models

Reading Interest Codes
A Quick Guide

The interest code helps you figure out if you’d like to work in a particular occupation. 
It’s based on the Canadian Work Preference Inventory (CWPI), which measures 5 occupational interests: Directive, Innovative, Methodical, Objective and Social.

Each set of 3 interest codes is listed in order of importance.

A code in capital letters means it’s a strong fit for the occupation.

A code in all lowercase letters means the fit is weaker.

Learn More

Updated Mar 31, 2019

Data mining combines statistics, artificial intelligence (AI), and database research. Data scientists focus on identifying predictors of relevant or predetermined outcomes.

There are three stages in data mining:

  • Initial exploration (for example, generate a summary and description of the key variables and values)
  • Model building or pattern identification
  • Model testing (for example, applying the model to new data to generate predictions)

In general, data scientists clean the data, which involves removing data that may have errors or contradict other data in the pattern. They also:

  • Select relevant subsets of records to reduce the amount of data to explore
  • Identify the most relevant variables
  • Determine the complexity and nature of models required
  • Use techniques such as bagging (averaging), stacking, bootstrapping and meta-learning
  • Apply different models (for example, association mining, classification mining, cluster mining, neural networks, Bayesian networks or support vector machines) to the same data
  • Compare model results to select a preferred model
  • Apply the selected model to new data to find patterns and clusters or test and generate predictions or estimates of expected outcomes

Some data scientists may use prescriptive analytics (building different prediction models based on various potential decision actions) to guide decision makers to a desired outcome.

Working Conditions
Updated Mar 31, 2019

Data scientists work in offices with sophisticated information technology. They work standard weekday office hours but may also be required to work overtime to meet project deadlines.

Data scientists often work on several different projects at the same time. They generally work in a team environment but may work alone.

  • Strength Required Lift up to 5 kg
Skills & Abilities
Updated Mar 31, 2019

Data scientists need:

  • An aptitude for and interest in mathematics, statistics, artificial intelligence, and databases
  • An interest in applying scientific principles to solve practical problems
  • The ability to analyze information and understand abstract relationships
  • The ability to think logically, organize projects, and carry them out
  • The ability to work alone as well as with others
  • The ability to communicate with individuals from different technical backgrounds
  • Attention to detail

Data scientists should enjoy synthesizing data, applying statistical theories and methods, and working with others to understand and solve problems.

Educational Requirements
Updated Mar 31, 2019

Most emerging occupations develop from more than one occupation, so data scientists may come from a variety of education and training backgrounds. Prior to enrolling in an education program, prospective students should contact associations and employers in this field to learn about education options and employment possibilities.

Data scientist is not an entry-level position. Employers generally prefer applicants who have several years of related experience.

The minimum academic requirement is a bachelor’s degree in computing science, statistics, or computer engineering. A graduate degree (master’s or doctoral) usually is required for higher-level positions. A doctoral degree (PhD) is required to conduct independent research.

Related Education

The following schools offer programs or courses that are related to this occupation but are not required to enter the field.

Grande Prairie Regional College

Grant MacEwan University

For a broad list of programs and courses that may be related to this occupation try searching using keywords.

Certification Requirements
Updated Mar 31, 2019

There is currently no provincial legislation regulating this occupation in Alberta.

Employment & Advancement
Updated Mar 31, 2019

Emerging occupations typically are the result of:

  • An increased human need (for example, alternate sources of energy)
  • Technological advances
  • Specialization within an occupation

Often there are too few people working in an emerging occupation to gather survey information. Therefore it can be difficult to define advancement opportunities or employment outlook. Some Albertans already are working in this emerging occupation, but future demand for data scientists is unknown.

Data scientists work for a variety of employers including:

  • Medical and educational research agencies
  • Natural resource companies
  • Environmental research companies
  • Market research companies
  • Pharmaceutical companies
  • Large retail companies
  • Post-secondary schools

Most jobs are located in major urban areas. However, remote work from home or a different worksite is becoming more common.

Outstanding individuals who have graduate degrees and many years of experience may move into management positions or become private consultants.

The employment outlook [pdf] in this occupation will be influenced by a wide variety of factors including:

  • Trends and events affecting overall employment
  • Location in Alberta
  • Employment turnover (when people leave existing positions)
  • Occupational growth (when new positions are created)
  • Size of the occupation

In Alberta, the 2172: Database analysts and data administrators occupational group is expected to have an above-average annual growth of 2% from 2019 to 2023. In addition to job openings created by employment turnover, 77 new positions are forecasted to be created within this occupational group each year.

Wage & Salary
Updated Mar 31, 2019

Often there are too few people working in an emerging occupation to gather survey information. Therefore, no current salary data is available for this occupation.

*The data miner is similar to this NOC group
Database analysts and data administrators

Survey Methodology

Survey Analysis

Overall Wage Details
Average Wage
Average Salary
Hours Per Week

Hourly Wage
For full-time and part-time employees
  • Low
  • High
  • Average
  • Median
Wages* Low (5th percentile) High (95th percentile) Average Median
Starting $20.51 $51.69 $32.43 $29.86
Overall $28.54 $57.87 $42.12 $39.96
Top $31.25 $86.54 $55.84 $49.31

Swipe left and right to view all data. Scroll left and right to view all data.

* All wage estimates are hourly except where otherwise indicated. Wages and salaries do not include overtime hours, tips, benefits, profit shares, bonuses (unrelated to production) and other forms of compensation.

B: Good Reliability
Data Reliability Code Definition

Good Reliability, represents a CV of between 6.01% and 15.00% and/or fewer than 30 survey observations and/or if survey observations represent less than 50% of all estimated employment for the occupation.

Industry Information
Public Administration
Professional, Scientific & Technical Services
Health Care & Social Assistance
Other Services (Repair, Personal Services and Related)

Skills Shortage

Employers that Recruited in the Last 2 Years


Recruiting Employers that Experienced Hiring Difficulties


Employers with Unfilled Vacancies of over 4 Months


Vacancy Rate

Related Post-Secondary Field of Study
  • Business, Management and Administrative Studies
  • Computer and Information Technology
  • Engineering, Architecture and Related Studies
  • Health Care and Medical Sciences
  • Mathematics
  • Sciences
  • Social Sciences, Law and Religious Studies

Updated Mar 31, 2019. The information contained in this profile is current as of the dates shown. Salary, employment outlook, and educational program information may change without notice. It is advised that you confirm this information before making any career decisions.

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