Data Scientist

SaskEnergy•Regina, SK

5d•Onsite

About The Position

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.

Requirements

Bachelor’s degree or technical diploma in computer science, information systems, engineering, statistics, or a related quantitative discipline.
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.
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.

Nice To Haves

Master’s degree or PHD in statistics, math, computer science or another quantitative field preferred.
Experience in big data tools and cloud services is considered an asset.

Responsibilities

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.