Remote Mid Data Scientist: ML, Analytics & Impact

Jobgether; Canada; Remote; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Remote work

Global projects

Health insurance

Life insurance

Relocation support

Job summary

Jobgether seeks a Mid Data Scientist based in Canada to transform complex data into actionable insights. You will develop analytical and ML solutions across diverse projects, collaborating with data teams and stakeholders to translate findings into clear recommendations.

You will own parts of the ML lifecycle—from feature engineering to production models—using Python, SQL, and modern tools like MLflow and Databricks.

Qualifications

• 3–5 years of professional experience in data science or a closely related environment.
• Experience building and deploying production-level machine learning models.
• Strong proficiency in Python, including NumPy, pandas, and scikit-learn.
• Basic knowledge of PyTorch or TensorFlow.
• Experience with exploratory data analysis and feature engineering.
• Solid understanding of statistics and probability, including hypothesis testing, inference, and distributions.
• Experience with supervised and unsupervised machine learning, including model tuning and validation.
• Strong understanding of model evaluation, cross-validation, performance metrics, and overfitting.
• Proficiency in SQL for data analysis and querying.
• Familiarity with ML experimentation tools such as MLflow, Weights & Biases, or Databricks ML.
• Basic familiarity with cloud ML platforms such as Azure ML, AWS SageMaker, or GCP Vertex AI.
• Experience with data visualization tools including Matplotlib, Seaborn, Plotly, Power BI, or Tableau.
• Understanding of fundamental MLOps concepts, including model registries, versioning, and deployment lifecycles.
• Strong analytical thinking and problem-solving skills.
• Ability to explain technical concepts and insights clearly to technical and non-technical audiences.
• Collaborative mindset and ability to work effectively across multiple Data teams.
• Structured, adaptable, and value-oriented approach to solving problems.
• Strong sense of ownership and attention to model quality and reliability.
• Proactive communication skills.
• English proficiency at a minimum B2 level.

Responsibilities

• Explore data and engineer features for analytics and ML.
• Build, train, and validate supervised and unsupervised models.
• Apply statistical methods including hypothesis testing and inference.
• Define evaluation metrics and validation strategies.
• Use MLflow, Weights & Biases, or Databricks ML for experimentation.
• Create clear visualizations with Matplotlib, Seaborn, Plotly, Power BI or Tableau.
• Collaborate with Data teams and communicate insights across stakeholders.
• Take ownership of model quality and deployment lifecycle.
• Adapt approaches to changing datasets and project goals.

Skills

Python

ML

SQL

EDA

PyTorch

TensorFlow

NumPy

pandas

scikit-learn

Data visualization

Education

Bachelor's degree in Mathematics, CS, or related field

Master's degree in ML (preferred)

Tools

MLflow

Weights & Biases

Databricks ML

Azure ML

Power BI

Tableau

Job description

Jobgether seeks a Mid Data Scientist based in Canada to transform complex data into actionable insights. You will develop analytical and ML solutions across diverse projects, collaborating with data teams and stakeholders to translate findings into clear recommendations.

You will own parts of the ML lifecycle—from feature engineering to production models—using Python, SQL, and modern tools like MLflow and Databricks.