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Senior Data Scientist

  • Mississauga, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Full-time
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Skills and Responsibilities:

  • Build and evaluate models (regression, classification, etc.)
  • We are looking for an experienced Senior Data Scientist to support the AI CoE’s Machine Learning and Data Science initiatives.
  • The ideal candidate will have strong applied machine learning, statistical modeling, analytics, and analytical problem-solving experience, with the ability to translate business problems into practical data science solutions.
  • They should have expert knowledge of SQL and Python, along with hands-on experience in predictive modeling, forecasting, classification, regression, experimentation, A/B testing, feature engineering, model evaluation, and insights generation.
  • This is a highly analytical and hands-on role focused on delivering end-to-end data science solutions, including data exploration, data preparation, feature engineering, model development, validation, interpretation, and communication of insights.
  • Experience with visualization tools such as Tableau, Power BI, or similar platforms is useful, particularly for communicating model outputs, trends, and actionable insights.
  • Experience working in cloud-based data science environments, including Azure, Azure ML, Databricks, MLflow, and related cloud technologies, would be considered an asset.
  • Experience with use cases such as churn prediction, member personalization, recommendation systems, marketing optimization, anomaly detection, and experimentation frameworks would be valuable.
  • In addition to technical depth, we are looking for someone who can work independently, collaborate effectively with data scientists, ML engineers, data engineers, and business partners, and help accelerate the delivery of enterprise AI and analytics solutions from exploration through production readiness. "

“Tekshapers is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.”

*Disclaimer: This E-Mail may contain Confidential and/or legally privileged Information and is meant for the intended recipient(s) only. If you have received this e-mail in error and are not the intended recipient/s, kindly notify us at itsupport@tekshapers.com and then delete this e-mail immediately from your system. You are also hereby notified that any use, any form of reproduction, dissemination, copying, disclosure, modification, distribution, and/or publication of this e-mail, its contents, or its attachment/s other than by its intended recipient/s is strictly prohibited and may be unlawful.

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More about this job

Responsibilities

Develop end-to-end data science solutions, including data exploration and preparation, feature engineering, model development and validation, interpretation, and communication of insights. Support enterprise machine learning and analytics initiatives by translating business problems into practical solutions and collaborating with technical and business partners through production readiness.

Requirements

The role calls for strong applied machine learning, statistical modeling, analytics, and analytical problem-solving experience, along with expert knowledge of SQL and Python. Hands-on experience with predictive modeling, forecasting, experimentation, A/B testing, feature engineering, model evaluation, and insight generation is expected; cloud platforms and relevant business use cases are considered assets.

Skills

  • Applied Machine Learning
  • Statistical Modeling
  • SQL
  • Python
  • Predictive Modeling
  • Forecasting
  • Classification
  • Regression
  • A/B Testing
  • Feature Engineering
  • Model Evaluation
  • Data Visualization
  • Tableau
  • Power BI
  • Azure
  • Databricks

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Science & Research
  • Software

Keywords

  • Machine Learning
  • Data Science
  • Artificial Intelligence
  • AI Center of Excellence
  • SQL
  • Python
  • Statistical Modeling
  • Predictive Modeling
  • Forecasting
  • Classification
  • Regression
  • Experimentation
  • A/B Testing
  • Feature Engineering
  • Model Evaluation
  • Data Exploration
  • Data Preparation
  • Model Development
  • Model Validation
  • Data Visualization
  • Tableau
  • Power BI
  • Azure
  • Azure Machine Learning
  • Databricks
  • MLflow
  • Churn Prediction
  • Recommendation Systems
  • Marketing Optimization
  • Anomaly Detection

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