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. 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 Submit your resume or request talent now and our expert recruiters will be with you shortly.Robert Half is one of the premier technology staffing agencies.
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Algorithm Implementation
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Data Science
Salary for Data Scientist in Victoria, BC
$102,768 - $154,530
25th percentile
New to the role, with little or no experience; requires more than casual instruction or supervision to perform day-to-day duties
50th percentile
Has the experience to consistently perform core responsibilities without direct supervision; very comfortable with processes and subject matter associated with the role
75th percentile
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
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