Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 44 hours ago

RQ00745-Data Science Developer

SourceCode858 open roles

Where
Toronto, ON, Canada
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowRQ00745-Data Science DeveloperSourceCode · Toronto, ON, Canada

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on SourceCode's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 44 hours ago

The posting

RQ00745 -Requisition TitleData Science Developer

Location: Toronto (661 University Ave, Suite 1701, Toronto, ON M5G 1M1)

Duration: 6 months + possible extention

Position Summary

Public Health Ontario (PHO) is building provincial enhanced analytics capability and infrastructure that turns public health data into timely analytics, surveillance, and decision support. The Data Engineer / Data Science Specialist builds and automates the data foundation that the Engine and its initiatives rely on: cloud-based data pipelines, lake/Lakehouse structures, analytics models, and visualizations.

The role combines two functions. As a Data Engineer, it automates the data pipeline for analytic products and advanced analyses. As a Data Science Specialist, it helps identify and prioritize use cases and integrate AI techniques (machine learning, NLP) into PHO's work, increasing capacity for modelling, forecasting, and scenario analysis. The role supports both foundational capability/infrastructure work and HealthMap data ingestion and aligns with and advances the Public Health Data Utility (PHDU) on PHO's Azure platform.

Key Responsibilities

  • Participate in product teams to analyze system requirements, and architect, design, code, and implement cloud-based data and analytics products that conform to standards.
  • Design, create, and maintain cloud-based data lake and Lakehouse structures, automated data pipelines, analytics models, and visualizations (dashboards and reports).
  • Liaise with IT colleagues to implement products, conduct reviews, resolve operational problems, and support business partners in the effective use of cloud-based data and analytics products.
  • Analyze complex technical issues, identify alternatives, and recommend solutions.
  • Prepare and conduct knowledge transfer.
  • Automate the data pipeline for analytic products and advanced analyses, including ingestion, ETL, and production for the foundational capability and for HealthMap (DLSPH model data).
  • Help identify and prioritize analytic use cases and integrate AI techniques (machine learning, NLP) into PHO's work.
  • Increase PHO's capacity for modelling, forecasting, and scenario analysis.
  • Build on and advance the PHDU and PHO's Azure data and analytics platform; support data acquisition through data-sharing and governance processes where required.
  • Document methods and transfer knowledge to PHO staff so the pipeline and capability can be sustained beyond the engagement.

Key Deliverables

  • Automated data pipelines and cloud data lake / Lakehouse structures supporting the capability and HealthMap.
  • Analytics models and visualizations (dashboards and reports) conforming to standards.
  • Prioritized AI / ML use cases and supporting models (forecasting, scenario analysis).
  • Knowledge-transfer documentation and sessions for PHO technical staff.

Required Skills

  • Experience with multiple cloud-based data and analytics platforms and coding / programming / scripting tools to create, maintain, support, and operate cloud-based data and analytics products.
  • Experience designing, creating, and maintaining cloud-based data lake and Lakehouse structures, automated data pipelines, analytics models, medallion architecture, and visualizations (dashboards and reporting) in real-world implementations.
  • Deep experience with modern technology stacks: Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse. Power BI, Python, SQL, Azure Databricks, and Azure Data Factory.
  • Experience assessing client information-technology needs and objectives.
  • Experience problem-solving to resolve complex, multi-component failures.
  • Experience preparing knowledge-transfer documentation and conducting knowledge transfer.
  • A team player with a track record for meeting deadlines.

Desirable Skills

  • Written and oral communication skills to participate in team meetings, write and edit systems documentation, prepare and present written reports on findings and alternative solutions, and develop guidelines / best practices.
  • Interpersonal skills to explain and discuss the advantages and disadvantages of various approaches.
  • Experience conducting knowledge-transfer sessions and building documentation for technical staff on architecting, designing, and implementing end-to-end data and analytics products.

Expected Skills

  • Be an advanced professional able to apply concepts, practices, and procedures in practice.
  • Work with minimal direction and lead and train others in technical components and concepts.
  • Plan, lead, and deliver complex deliverables that provide options for decisions within the organization.
  • Bring a high level of expertise in the required skill set, specialized in the technical area, and provide specific advisory support as required.

AI Disclaimer: Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.

Note: The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting.

INCORPORATED RATE RANGE (7.25 billable hours per day)

  • $68.55/hr - $82.26/hr Inc.

T4 RATE RANGE (7.25 billable hours per day)

  • $54.84/hr - $65.81/hr T4
From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against SourceCode's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on SourceCode's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    SourceCode's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.