Data Scientist

Found in: Talent CA C2 - 2 weeks ago

Calgary, Canada City of Calgary Full time
If you are committed to public service, enjoy collaborating with others, share our values and have a desire to learn and grow, joinThe City of Calgary. City employees deliver the services, run the programs and operate the facilities which make a difference in our community. We support work-life balance, promote physical and psychological safety, and offer competitive wages, pensions, and benefits. Together we make Calgary a great place to make a living, a great place to make a life.The City is committed to fostering a respectful, inclusive and equitable workplace which is representative of the community we serve. We welcome those who have demonstrated a commitment to upholding the values of equity, diversity, inclusion, anti-racism and reconciliation. Applications are encouraged from members of groups that are historically disadvantaged and underrepresented. Accommodations are available during the hiring process, upon request.

As a Data Scientist with a strong focus on Geographic Artificial Intelligence (GeoAI), you will use scientific methods, processes, algorithms, and systems to extract insights from structured and unstructured geodata to solve complex business problems. You will apply machine learning, statistical and artificial intelligence techniques to develop models, forecast trends and build intelligent systems, and make recommendations to improve business processes. Primary duties include:

Explore, evaluate and implement emerging technologies in Machine Learning, GeoAI and Artificial Intelligence. Apply machine learning and data mining techniques to extract meaningful information from spatial data. Identify and use open-source machine learning engines and machine learning algorithms. Create interfaces and mechanisms for the flow and access of information. Construct discriminative models with regression, classification or clustering. Program pipelines that gather, clean, sort, label and ingest complex, high volume spatial and non-spatial data. Apply and evaluate statistical modeling. Prototype, implement, test and productionize intelligent systems using Esri technologies. Comfortable using technologies under Windows or Linux environments. Experience with open-source libraries, Feature Manipulation Engine (FME) and programming languages like Python. Conduct data profiling, spatial statistics, empirical evaluation and hypothesis testing to discover patterns and data characteristics, relationships and insights hidden in massive data for business recommendations. Deploy high security platforms to isolate high-performance computing solutions away from data leaks and risks. Maintain and manage Cognitive Computing in-house server. Monitor and patch updates of open-source software according to security standards governed by Corporate Security and Information Technology (IT). Apply design thinking to data science projects; initiate, plan, execute, control and close projects to meet clients' needs within a specified scope, time, budget and quality level. Promote data science best practices and technologies across the Corporation; coach other Data Scientists with domain specific projects and participate in projects that harvest analytics driven culture in The City. Qualifications  A master's degree in quantitative disciplines such as applied statistics, mathematics, computer science, Geographic Information System (GIS), software engineering, artificial intelligence, machine learning, data mining or related fields and at least 6 years of experience from academia or industry, including at least 4 years of applied experience in general purpose programming such as Python, Scala, Java, C/C++ or GIS field for both machine learning and productionizing analytics services; OR A PhD degree as noted above and at least 4 years of experience from academia or industry, including at least 2 years of applied experience in general purpose programming such as Python, Scala, Java, C/C++ or GIS field for both machine learning and productionizing analytics services.  Education must be in at least two of the quantitative disciplines or related fields (for a Data Scientist position working with GIS, one of the disciplines must be GIS).  Strong problem-solving abilities, research skills and the ability to initiate action are all required to be successful in this position.

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