Data Scientist

**Job Title: Business Operations Performance Analyst** **Duration: 12 months** **Location: Toronto, ON (Onsite)** **Job Description:** The Business Operations Performance Analyst role is instrumental in advancing business development and Regulated Go\-To\-Market strategies. This position focuses on reducing revenue leakage, driving customer growth, and improving satisfaction scores through data\-driven insights. Leveraging advanced analytics, machine learning, and strong business acumen, the role supports initiatives that enhance customer segmentation, predict behavior, and inform strategic decisions to maximize commercial impact. **Essential Duties/Responsibilities:** • Predictive Modeling: Develop and maintain predictive models to drive customer retention and operational performance. • Segmentation Analysis: Identify customer segments based on behavior and demographics to personalize growth and retention strategies. • Campaign Optimization: Analyze performance of outreach strategies (email, SMS, phone) and optimize timing, messaging, and channel. • Process Automation: Use machine learning to streamline decision\-making and automate repetitive tasks. • Strategic Insights: Generate actionable insights from historical and real\-time data to inform business policies and prioritization of initiatives. • Tool Development: Build dashboards and reports to support management teams in monitoring performance and KPIs. • Cross\-functional Collaboration: Work closely with business stakeholders, IT, and third\-party vendors to align data initiatives with organizational goals. • Data Visualization: Deliver data visualizations, dashboards and scorecards using Power BI Desktop and Power BI Service. **Minimum Requirements :** • Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or related field. • Knowledge of predictive modelling techniques and classification algorithms. • Strong communication skills with an ability to translate complex findings into actionable business strategies. • 3\+ years’ experience as a data scientist, data analyst, data engineer or equivalent role. • 3\+ years’ experience with statistical modeling and quantitative analysis in a business setting. • 2\+ years of experience developing diagnostic and predictive data models utilizing Artificial Intelligence and Machine Learning (AI/ML). • 5\+ years of experience creating views, data consumption layers using SQL, python, R and/or other languages to transform and integrate data from SQL databases. **Preferred Qualifications:** • Masters degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or related field. • Experience with data visualization tools (e.g., Power BI). • Understanding of contact center processes and metrics. • Understanding of billing and remittance processes. • Ability to troubleshoot business problems and apply analytical techniques to identify operational solutions. • Strong presentation skills with an ability to communicate complex concepts to various stakeholder groups in a simple actionable manner. • Ability to successfully prioritize initiatives and manage multiple competing priorities. • Experience in the utilities sector (electricity and/or natural gas), ideally in customer operations, finance, accounting, and/or commercial areas. • Knowledge of the Alberta retail natural gas and electricity market. **Additional Knowledge, Skills, and Abilities:** • Experience building data models using Databricks, GCP cloud environments or equivalent platforms, SAP, various APIs, and Oracle databases. • Knowledge of machine learning techniques, statistical modeling, and algorithms, such as logistic regression, random forest, and gradient boosting trees (e.g. XGBoost or LightGBM). Ability to work with Google BigQuery is a plus. • Experience developing and working with robotic process automation (RPA) tools. • Knowledge of SAP backend tables related to collections, billing, and related process. • Self\-driven, detail\-oriented, and skilled at multi\-tasking in a fast\-paced environment. • Strong facilitation skills. • Exceptional technical writing skills. • Advanced analytical and problem\-solving skills. **Working Conditions:** • Combination of open office environment and working from home, with the expectation of working in a Direct Energy office 4 days per week or otherwise as company policy dictates. • Ability to work from home while remaining effective and productive. • Some overtime may be required as special projects arise. • International travel may be required which requires a valid passport.