Data Scientist / ML Data Analyst - 3562541

Lighthouse Technology Services

Contract junior

Calgary, Alberta, CAPosted March 18, 2026

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PythonGoRSQLGCPBigQuery

Job Description

Lighthouse Technology Services is partnering with our client to fill their Business Operations & Performance Data Scientist / ML Data Analyst position! This is a 1 year + contract with potential to hire opportunity. This person can work remotely in Canada with some travel to Calgary required. If local to Calgary, a preference for on site 4 days to collaborate in the office. This role will be a T4 employee of Lighthouse Technology Services. No C2C or subcontracting arrangements will be considered.

What You’ll Be Doing:

In this role, you’ll turn complex data into actionable insights, helping shape go-to-market strategies and operational decisions.
This role is focused on reducing revenue leakage, driving customer growth, and improving customer satisfaction through advanced analytics and machine learning.
You will partner closely with cross-functional teams to develop predictive models, optimize customer engagement strategies, and deliver actionable insights that directly influence commercial outcomes.
Build and maintain predictive models to improve customer retention and operational performance
Perform customer segmentation analysis to support targeted growth and retention strategies
Analyze and optimize campaign performance across channels (email, SMS, phone)
Leverage AI/ML and automation to streamline processes and enhance decision-making
Generate actionable insights from large datasets to influence business strategy
Develop dashboards, reports, and scorecards using Power BI
Collaborate with business, IT, and external partners to align analytics initiatives
Design and maintain data pipelines and data models to support analytics and reporting

What You’ll Need to Have:

There is a potential for international travel (valid passport required)
Technical Skills:
Experience with Databricks, GCP (BigQuery), SAP, Oracle, and APIs
Knowledge of machine learning techniques such as logistic regression, random forest, gradient boosting (XGBoost/LightGBM)
Experience with data integration, transformation, and modeling
Exposure to robotic process automation (RPA) is a plus
Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or related field
3+ years of experience in data analytics, data science, or similar role
3+ years of experience in statistical modeling and quantitative analysis
2+ years of experience building predictive models using AI/ML techniques
5+ years of experience working with SQL and Python, R, or similar languages
Strong understanding of predictive modeling and classification algorithms
Ability to translate complex data into clear, actionable business insights
Strong communication skills across technical and non-technical audiences
Strong presentation skills and ability to influence stakeholders
Ability to manage multiple priorities in a fast-paced environment