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Added 58 mins ago
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…operational and strategic challenges at scale. We help businesses with enterprise automation, human-machine teaming, product design and development, and market intelligence. Until now,…
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Apptoza Inc.

Data Scientist

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 29, 2026
Posting language: English
Posted: Sep 29, 2026

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Original job description

Role: Data Scientist

Location: Toronto, ON – Onsite

Contract role

Job Summary:

The candidate will be responsible for analyzing large datasets, developing data-driven solutions, building predictive models, and supporting business decisions through data insights.

Key Responsibilities

Analyze large and complex datasets to identify trends, patterns, and business insights.
Develop data science solutions using Python and relevant data science libraries.
Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis.
Develop and optimize data processing pipelines using PySpark.
Build, test, and validate statistical and machine learning models.
Work with structured and unstructured data from multiple sources.
Perform model evaluation, tuning, and performance optimization.
Collaborate with data engineers, business analysts, and application teams.
Present analytical findings and model results to technical and business stakeholders.
Maintain documentation for data models, analysis, methodologies, and processes.
Monitor model performance and identify opportunities for improvement.

Required Skills

Strong hands-on experience with Python for Data Science.
Strong experience with PySpark and distributed data processing.
Good knowledge of Pandas, NumPy, and Scikit-learn.
Strong understanding of statistics, data analysis, and machine learning concepts.
Experience with data preprocessing, feature engineering, and model development.
Good knowledge of SQL and relational databases.
Experience working with large datasets and big-data environments.
Strong problem-solving and analytical skills.
Good communication and stakeholder management skills.

Good to Have

Experience with AWS, Azure, or GCP.
Knowledge of Databricks or other Spark-based platforms.
Experience with machine learning and predictive analytics.
Knowledge of ML deployment/MLOps concepts.
Experience with data visualization tools such as Power BI or Tableau.
Knowledge of NLP or Generative AI is an advantage.

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More about this job

Responsibilities

Analyze complex datasets to identify trends and business insights, and develop data science solutions, processing pipelines, and predictive models. Evaluate and optimize models, communicate findings to technical and business stakeholders, document methodologies, and monitor model performance.

Requirements

Requires strong hands-on Python and PySpark experience, knowledge of Pandas, NumPy, Scikit-learn, statistics, machine learning, SQL, and large-scale data processing. Candidates should have experience with data preparation and model development, along with strong analytical, problem-solving, communication, and stakeholder management skills.

Skills

Python
PySpark
Pandas
NumPy
Scikit-Learn
Statistics
Data Analysis
Machine Learning
Data Preprocessing
Feature Engineering
SQL
Distributed Data Processing
Model Evaluation
Problem-Solving
Communication
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
Pandas
NumPy
Scikit-Learn
SQL
Relational Databases
Data Science
Data Analysis
Statistics
Machine Learning
Predictive Analytics
Data Preprocessing
Feature Engineering
Exploratory Data Analysis
Distributed Data Processing
Big Data
Structured Data
Unstructured Data
Model Evaluation
Model Tuning
Data Pipelines
AWS
Azure
GCP
Databricks
MLOps
Power BI
Tableau
Generative AI

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