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Data Scientist (with Pharma experience) (PL753) Job Opening In Bogotá – Now Hiring Paralucent


Job description

The Data Scientist will design, build, and validate advanced AI/ML models to forecast vaccine supply and demand across Ontario.

Leveraging historical vaccine inventory data and modern analytics techniques, the role will enable accurate, equitable, and efficient vaccine distribution while ensuring compliance with Ontario Public Service (OPS) AI and data governance frameworks.

Key Responsibilities


Data Preparation & Modeling

  • Ingest, clean, and transform 5–10 years of vaccine inventory and distribution data.

  • Apply statistical, machine learning, and deep learning techniques to forecast supply/demand scenarios.

  • Create and manage synthetic datasets for model testing.

AI Prototype Development

  • Design, train, and validate predictive models for vaccine logistics.

  • Integrate AI outputs with user-friendly dashboards, digital twins, and interactive simulations.

  • Explore use of MLOps pipelines, Retrieval-Augmented Generation (RAG) patterns, and AI/BI dashboards.

Evaluation & Optimization

  • Define KPIs, monitor model performance, and refine approaches based on stakeholder feedback.

  • Document risks, ethical considerations, and adherence to Ontario's Trustworthy AI Framework and Responsible AI Directive.

Collaboration

  • Partner with business analysts, architects, and developers to align technical outputs with business requirements.

  • Collaborate with PHO/Ministry AI specialists, academic experts, and OPS technical teams to ensure accuracy and sustainability.

Knowledge Transfer

  • Produce a reusable AI Playbook to guide future vaccine forecasting use cases.

  • Train PHO analysts on R/Python analysis, Power BI integration, and AI model usage.

  • 5+ years of experience in data science with expertise in predictive modeling, forecasting, and optimization.

  • Proven track record in healthcare, pharmaceutical, or vaccine supply chain analytics.

  • Proficiency in Python, R, Databricks, Azure ML, Power BI, and synthetic data generation techniques.

  • Strong understanding of MLOps practices, digital twins, and applied AI in logistics and inventory management contexts.

  • Knowledge of PHIPA, privacy regulations, and ethical AI requirements within healthcare.

  • Familiarity with cloud environments, digital health solutions, and government AI governance frameworks.

  • Excellent communication, collaboration, and stakeholder engagement skills to support cross-functional public sector teams.

Required Skill Profession

Other General


  • Job Details

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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Scientist in Bogotá, Colombia, highlighting market share and opportunities for professionals in Data Scientist roles.

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Are You Looking for Data Scientist (with Pharma experience) (PL753) Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Paralucent adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

What Is the Average Salary Range for Data Scientist (with Pharma experience) (PL753) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bogotá. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Data Scientist (with Pharma experience) (PL753) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Scientist (with Pharma experience) (PL753) Job Success

Paralucent interview tips for Data Scientist (with Pharma experience) (PL753)

Here are some tips to help you prepare for and ace your Data Scientist (with Pharma experience) (PL753) job interview:

Before the Interview:

Research: Learn about the Paralucent's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

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During the Interview:

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Scientist (with Pharma experience) (PL753) interview at Paralucent, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Paralucent's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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