Data Scientist

Job Title: Data Scientist
Duration: 12 months
Schedule: Mon-Fri, 9 AM to 5 PM
Work Location: Toronto, Ontario (Hybrid - 4 days on site)

About the Role:
The role will design and deliver end-to-end analytics solutions combining data science, advanced analytics, and business intelligence.

This role applies statistical analysis, machine learning, and data-driven experimentation to solve complex business problems, while also translating these insights into scalable dashboards, reporting solutions, and decision-support tools for stakeholders.

Success in this role requires strong depth in data science and analytical problem solving, complemented by the ability to deliver intuitive, business-facing BI solutions that drive adoption and impact.

MUST HAVE Hard Skills:
· Proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, and PySpark).

· SQL- writing complex queries, stored procedures, and data extraction.

· Experience with cloud-based data and AI/ML platforms (e.g., Azure, AWS, or GCP), including deploying and managing models in production environments.

· Proficiency in Power BI to create impactful visualizations and dashboards

SOFT SKILLS:

· Strong organizational skills with the ability to work in a fast-paced environment and manage multiple deadlines and priorities.

· Ability to effectively work in teams across the bank with multiple stakeholders and to influence and align others.

· Strong risk acumen – challenges the status quo and proactively manages risks.

· Ability to work in ambiguity and simplify complex issues.

· Strong work ethic and ability to execute with speed.

NICE-TO-HAVE

· Proficiency in Tableau

· Hands-on experience with machine learning techniques, including supervised and unsupervised learning, reinforcement learning, and causal inference.

· Experience building, training, and deploying machine learning models, including model pipelines, feature engineering, hyperparameter tuning, and model explainability.

Key Responsibilities

· Apply statistical analysis, machine learning, and advanced analytics techniques to identify trends, risks, and optimization opportunities

· Design and build analytical models, experimentation frameworks, and data-driven solutions to address complex business problems

· Develop and maintain curated datasets, feature layers, and analytical data models to support both modeling and reporting use cases

· Translate ambiguous business problems into structured analytical approaches, KPIs, and measurable outcomes

· Deliver insights through interactive dashboards (Power BI), reporting solutions, and executive-ready storytelling

· Partner with stakeholders to define analytical requirements and design data-driven decision frameworks

· Ensure data quality, validation, and governance across both analytical models and BI outputs

· Operationalize analytics through automated pipelines, monitoring solutions, and repeatable reporting processes

· Continuously improve analytical methodologies, data assets, and reporting efficiency

· Support risk and control objectives through analytical monitoring and insight generation

· Interview process: 2 rounds, first virtual and second in-person: 30-45 min each

CANDIDATE PROFILE DETAILS:

Degree/Level of Education: Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance, or computer science)- these fields are only preferred.

Years of Overall Experience: 5-7 years of experience

Preferred/Ideal Candidate Background: The ideal candidate will have strong experience in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, PySpark) and SQL, with the ability to build data-driven solutions and work with large datasets. Experience with cloud-based AI/ML platforms (Azure, AWS, or GCP) and Power BI for dashboarding and visualization is essential. The candidate should demonstrate strong organizational and stakeholder management skills, thrive in fast-paced and ambiguous environments, possess strong risk awareness, and have a proven ability to deliver results efficiently. Experience with Tableau and advanced machine learning model development, deployment, and optimization is considered an asset only.

Applicant Notices & Disclaimers

• For information on benefits, equal opportunity employment, and location-specific applicant notices, click here

At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. The pay rate for this position is C$43.53/hr.