Logo for Pacific Programming & Tech Inc.

Senior Data Scientist

Role overview

Qualifications

  • Advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, or a related field
  • 3+ years of work experience as a Data Scientist with experience at all levels of the ML pipeline involving very large databases
  • Strong proficiency in Python, SQL and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
  • Solid understanding of statistical modeling, supervised and unsupervised learning, and deep learning techniques

Responsibilities

  • Design, develop, and deploy machine learning models to solve real-world business challenges
  • Collaborate with cross-functional teams including engineering, product, and business stakeholders to define project goals and deliverables
  • Analyze large datasets to extract actionable insights and identify opportunities for optimization
  • Lead experimentation and model validation efforts, ensuring robustness and scalability

About the company

Pacific Programming & Tech Inc. logo

Pacific Programming & Tech Inc.

Software Development

Pacific Programming and Tech is a computer software development firm based out of Montreal, QC.

Company details

IndustrySoftware Development
Company size51 - 200

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

We are seeking a highly skilled and experienced Senior Data Scientist to lead and contribute to advanced machine learning initiatives. This role is ideal for someone who thrives on solving complex problems, building scalable models, and driving data-driven decision-making across the organization.


Key Responsibilities

  • Design, develop, and deploy machine learning models to solve real-world business challenges.
  • Collaborate with cross-functional teams including engineering, product, and business stakeholders to define project goals and deliverables.
  • Analyze large datasets to extract actionable insights and identify opportunities for optimization.
  • Lead experimentation and model validation efforts, ensuring robustness and scalability.
  • Mentor junior data scientists and contribute to the growth of the data science team.
  • Stay current with the latest research and trends in machine learning and AI.


Required Qualifications

  • Advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, or a related field.
  • 3+ years of work experience as a Data Scientist with experience at all levels of the ML pipeline involving very large databases.
  • Strong proficiency in Python, SQL and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Solid understanding of statistical modeling, supervised and unsupervised learning, and deep learning techniques.
  • Excellent communication and collaboration skills.


Preferred Qualifications

  • Experience in deploying models to production environments.
  • Familiarity with MLOps practices and tools.
  • Experience with time-series models, XG Boost, churn prediction, customer segmentation and clustering techniques.


Benefits of Working with Us

  • Competitive salary based on your level of experience.
  • A benefits package that includes an extensive health insurance package, as well annual vacation, sick and personal days.
  • A collaborative and supportive work culture.
  • Opportunities for professional growth and development.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
Β·

Data Scientist Related jobs

Other jobs at Pacific Programming & Tech Inc.

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.