Data Scientist in Edmonton, AB

Data Scientist Job Description

Data scientists develop innovative solutions to business challenges by applying their mathematical and analytical skills to detect patterns in very large datasets. Their work improves the performance of information systems and databases and leads to technological advancements and efficiencies, such as better networking technology, faster computing speeds and improved data security. Candidates must have strong analytical, data mining, multivariate statistical modelling and quantitative analysis skills, as well as experience in programming languages — commonly Python or Java — and writing SQL queries for data manipulation. In addition, they require experience querying databases and using statistical computer languages (R, Python, SLQ, etc.) and working with distributed data/computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.) Most employers require five to 10 years of experience in Computer Science or Information Systems, as well as a Bachelor’s degree, Master’s degree or Ph.D. in a quantitative discipline.

Typical duties of a data scientist:

Assessing the effectiveness and accuracy of new data sources and data gathering techniquesDeveloping and executing technical visions, including planning, technical decision making and project management in order to support business decisions and company growthDeveloping custom data models and algorithms to apply to data setsPresenting complex analyses as action-oriented recommendationsManaging and merging data from multiple sources and generating reportsReviewing applications, data sets and models for anomalies to ensure accuracyApplying effective algorithms to large-scale data modelling

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Salary for Data Scientist in Edmonton, AB
104294 - 156825
25th percentile
104294
New to the role, with little or no experience; requires more than casual instruction or supervision to perform day-to-day duties
50th percentile
128125
Has the experience to consistently perform core responsibilities without direct supervision; very comfortable with processes and subject matter associated with the role
75th percentile
156825
Value to the organization goes far beyond the ability to perform normal job duties; has rare qualifications that enable consistent contribution in unique ways; ready for next career level when available
Projected salaries for related positions Position title 25th percentile 50th percentile 75th percentile Data Engineer 119925 144525 171175 Data Architect 111981 146319 179375 Business Intelligence Analyst – Technology 92506 115825 142219 Database Manager 106856 133506 159388 Database Developer 102500 114031 140169 Database Administrator 76363 96606 123513 Data Warehouse Analyst 81744 103525 132738 AI Architect 108906 147088 165025 Data Analyst – Technology 73544 89944 113006
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