Data Scientist

Data scientists are a new breed of analytical data experts who have the technical skills to solve complex problems – and the curiosity to explore what problems need to be solved.

Many data scientists began their careers as statisticians or data analysts. But as big data (and big data storage and processing technologies such as Hadoop) began to grow and evolve, those roles evolved as well. Data is no longer just an afterthought for IT to handle. It’s key information that requires analysis, creative curiosity and a knack for translating high-tech ideas into new ways to turn a profit.

In health care, this can help to predict and manage patient outcomes, future health trends, Electronic health records, robotic surgeries, as well as clinical research.

Average Hourly

$48.72

Range Hourly

$39.15 – $66.77

Average Yearly

$95,000

Range Yearly

$76,343- $130,200

Database analysts and data administrators (2172)

Data administrator; Data analyst - informatics and systems; Data custodian; Data dictionary administrator; Data miner; Data mining analyst; Data processing specialist; Data scientist; Data warehouse analyst; Database administrator (DBA); Database analyst; Database architect; Database designer; Database management supervisor - computer systems; Database manager; Electronic data processing (EDP) analyst; Electronic data processing (EDP) specialist; Electronic data processing (EDP) systems analyst; Information resource analyst; Technical architect - database;

Graduate degree
Master’s and/or PhD in data science.
Advanced skills and experience in programming, Python, R, SQL, STATA, SAS, BI tools (e.g., Tableau, Power BI) etc.

Medium
Employment outlook is fair to undetermined in most provinces. More information is available here.

Without further education, chances to advance in this occupation are limited.

1-5 year training and experience are usually required

professionalism, maturity and self-confidence
empathy and the ability to reassure patients
the ability to be detail-oriented
the ability to respond quickly and appropriately in emergencies
the ability to work with little direct supervision
the ability to work as part of a team.
Knowledge of, and ability to produce, descriptive and inferential statistics and predictive analytics.
Experience in screening, cleaning, linking, creating, modifying, validating, and analyzing large data sets in a statistical or database-management software package.

Data science/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)
Health data science is a blend of epidemiology, statistics, mathematics, informatics and computer science. Data is the future.
It also offers one the opportunity to be flexible, work at your pace, be creative and grow in the field.

Difference between data analysts and data scientists
While data analysts and data scientists both work with data, the main difference lies in what they do with it. Data analysts examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions. Data scientists, on the other hand, design and construct new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis

Information technology consulting firms
Information technology units throughout the private and public sectors
Universities
Health Services (e.g., AHS)
Pharmaceutical companies

IMGs may start with doing a certificate/diploma course in data analyst.
If someone has a statistical background or knowledge (such as MPH with Biostatistics focus) may enter into a Data Science masters program. Some institutions may ask for some math, statistics, and computer science courses as prerequisites which can be done from the continuing education route from any universities/colleges.