Data Scientist
2 weeks ago
SaskEnergy is seeking a qualified and motivated individual to join our team. The Data Scientist leads and conducts analysis on organization-wide data to uncover trends and conduct predictive analytics to deliver data-driven solutions to business problems. This position will be responsible to create statistical models, algorithms, and other data products that enable higher-level analytics to forecast business results. The Data Scientist will leverage advanced analytic capabilities through statistics, machine learning and artificial intelligence to provide value-added insights to improve business outcomes.
Position Details- Non-union - This position is permanent full time.
Key Accountabilities- Identify data patterns and create predictive models to forecast future events in the business.- Build analytics tools utilizing the data pipeline to provide actionable insights into customer experience, operational efficiency, and other key business performance metrics.- Identify patterns, build algorithms, create predictive modelling, run statistical simulations, conduct causality experiments and A/B testing to support business areas in implementation of predictive analytics to drive actionable results.- Assemble large, complex data sets that meet both functional and non-functional business requirements.- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.- Work with stakeholders, including the Executive, to assist with data-related technical issues and support their data and information needs, e.g., reports, data visualizations and predictive and prescriptive analytical tools.- Provide training and information sharing sessions to internal stakeholders.- Conduct data wrangling, data mining, and preparation.- Other related duties as assigned.
Knowledge/Skills/Abilities- Bachelor’s degree in computer science, information systems, engineering, statistics, mathematics, economics or a related quantitative discipline with preference given to advanced degrees (Masters, PhD).- Four (4) years in a data analytics or data scientist role with demonstrated projects using advanced analytics methods.- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), SSIS as well as working familiarity with a variety of databases.- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.- Experience using Python to analyze data.- Experience in big data tools and cloud services is considered an asset.- Strong problem-solving skills.- Excellent written and verbal communication skills for coordinating across teams and presenting ideas to stakeholders.- Ability to work on a team while building and maintaining effective relationships.- Must have a continuing record of professional development and continuous learning.
A suitable combination of relevant education and experience may also be considered
Application Instructions-
- For more information on this position, please contact Human Resources at 306-777-9091
Closing Date
April 16, 2024
Salary Range
$90,898 - $130,351
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