City of Ottawa Data Scientist position

[Glen Newton]

http://ottawa.ca/cgi-bin/jobs.pl?id=2017-EX-EN-51915587-01

Position: Data Scientist

Competition Number: 2017-EX-EN-51915587-01
Competition posting date: 2017-08-14
Competition closing date: 2017-08-25

Service Innovation and Performance Department, Service Transformation, Service Analytics and Planning Branch
1 Full-time Continuous Position - 35.00 hours/week
Affiliation: CIPP
Salary: $85,232.42 to $103,707.24 annually (2016 rates of pay)

Category: Current Opportunities
Employment Group: Other

Job Summary

Responsible for providing technical oversight and leading solutions development that involve applying scientific hypothesis and modeling complex data (unstructured, numeric and non-numeric) to guide business decisions through the use of cognitive science, statistical, algorithmic, mining and visualization techniques. The Data Scientist serves as the department's technical subject matter expert on assigned solutions, provides ongoing oversight for the roadmap for the assigned solutions, and leads quality assurance and due diligence activities.

Education & Experience

Completion of a Master's Degree in Mathematics, Applied Statistics, Physics, Computer Science/Engineering or a related quantitative discipline

Minimum 8 years of experience working in a leading role with data and/or quantitative analysis in a data collection, statistical, analytical and performance measurement function, including at least 3 years of experience working in a leading role with statistical and predictive modelling concepts, artificial intelligence/machine learning algorithms, Big Data platforms, data capture from multi-dimensional sources and collaboration within multi-functional teams

Demonstrated experience must include:

experience leading and executing sophisticated data mining & modeling solutions

experience as a technical leader and subject matter expert on a skilled team of data and analytics professionals

proficiency in developing scientific hypotheses, statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms

experience using statistical packages such as R, Python MATLAB, SPSS, SAS

experience in data preparation and data integration techniques and tools

experience with programming languages like Java, Scala, Python and R and cloud computing technologies

*Experience and formal training combined with demonstrated performance and ability may substitute for stipulated academic requirements.

Language, Certificates & Licenses

English oral, reading, writing

Knowledge

In depth knowledge of the advanced technologies common to the data mining & machine learning world such as: techniques such as clustering, classification, regression analysis and optimization algorithms; big data frameworks such as Hadoop, Spark; BI visualization tools such as Tableau, MS Power BI, Qlik, etc.

Geographic information systems (GIS) to capture, store, manipulate, analyze, manage, and present spatial or geographic data

How to develop and recommend solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets

Computer literacy utilizing MS Office software applications

Knowledge of applicable health and safety legislation, including the rights and duties of workers

Competencies & Skills

Demonstrated ability to communicate insight gained though use of stories with compelling visual elements

Demonstrated ability to quickly understand new concepts and to provide original solutions to mathematical issues

Passion for data and analytics and commitment to staying current with new technologies and innovative approaches and enabling their use to help clients achieve their goals and solve business problems

Highly refined analytical and problem solving skills; ability to anticipate scenarios and develop solution options

Demonstrated written and verbal communication skills to communicate effectively on technical and non-technical matters with key stakeholders and lead project teams

Demonstrated ability in corporate core competencies including customer service, communication, team work, initiative/self management, accountability, flexibility and adaptability

Ability to manage multiple priorities in a fast-paced, ever changing environment

Self-directed and organized; able to manage responsibilities for multiple, simultaneous projects

Work effectively as a lead and team member within a multi-disciplinary environment

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