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Remote Optum Data Science Jobs in Toronto, ON (NOW HIRING)

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Remote Optum Data Science information

Can I work remotely as a remote optum data science?

Remote data science roles at Optum typically offer the flexibility to work from home, depending on the company's policies and the specific position. Candidates should have strong analytical skills, proficiency in tools like Python or R, and good communication abilities to succeed in a remote environment. Availability of remote work may vary by team and project requirements.

What is the difference between Remote Optum Data Science vs Remote Optum Data Analyst?

AspectRemote Optum Data ScienceRemote Optum Data Analyst
Required CredentialsTypically requires a master's or PhD in Data Science, Statistics, or related fieldsBachelor's degree in Data Analysis, Statistics, or related fields often sufficient
Work EnvironmentFocus on advanced modeling, machine learning, and predictive analyticsData cleaning, reporting, and basic analysis tasks
Employer & Industry UsageUsed in healthcare analytics, predictive modeling, and research within OptumUsed for reporting, data management, and supporting decision-making processes

Remote Optum Data Science roles involve developing complex models and algorithms, requiring advanced degrees and technical expertise. In contrast, Remote Optum Data Analyst positions focus on data reporting and basic analysis, often requiring a bachelor's degree. Both roles support healthcare analytics but differ in scope and technical depth.

What are the most commonly searched types of Optum Data Science jobs in Toronto, ON? The most popular types of Optum Data Science jobs in Toronto, ON are:
What are popular job titles related to Remote Optum Data Science jobs in Toronto, ON? For Remote Optum Data Science jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Optum Data Science jobs in Toronto, ON look for? The top searched job categories for Remote Optum Data Science jobs in Toronto, ON are:

Senior Business Analyst, Product Development (Remote)

Raising the Village

Toronto, ON โ€ข Remote

CA$100K - CA$120K/yr

Full-time, Contractor

Re-posted 6 days ago


Job description

Job title

Senior Business Analyst, Product Development

Reporting to

Director of Product Development

Years of experience

7+

Location

Toronto Hybrid work environment (3 days in office and 2 days remote.)

Position type

Full-Time, 12-month contract

Compensation

$100,000 - $120,000


About Raising The Village

Raising The Village (RTV) is an international development organization working to end ultrapoverty in lastmile rural communities across subSaharan Africa. Our 24month universal graduation programs combine targeted material support with agencybuilding interventions to help households move durably out of ultrapoverty.

About the Venn Platform

RTV is investing in the next generation of Venn, an integrated platform for program delivery, monitoring, evaluation, and learning.

What sets Venn apart is its unique ability to unify two critical domains:

  • Monitoring, Evaluation, and Learning (MEL): The measurement frameworks, indicators, instruments, and learning loops that drive continuous program improvement.
  • Systems: The applications, data infrastructure, and data science capabilities that power and operationalize those frameworks.

Getting this platform right has direct consequences for program delivery at scale across multiple countries.

Position Overview

As the Venn platform scales across multiple countries and partner organizations, RTV needs a Senior Business Analyst, Product Development to serve as the connective tissue between technical teams and program stakeholders. You will own requirements discovery from intake to delivery, shape the product backlog, and ensure that what gets built maps to real field realities and program outcomes.

In this role, you will play a pivotal part in translating complex socio-economic development data into seamless digital workflows that directly empower last-mile communities. Your ability to navigate both technical architectures and human-centric design will be critical as we refine a platform capable of operating in low-connectivity, resource-constrained environments. Ultimately, your work will ensure that our scaling efforts remain deeply rooted in operational excellence and measurable social impact.

This is a high-visibility, 12-month contract role. Your primary collaborators are the Platform Architect, Data Engineering, Software Engineering, and Product teams.

Key Responsibilities

1. Requirements Gathering & Analysis

  • Lead intake sessions - Facilitate structured discovery with Leadership, Platform Architect, Engineering, Programs, Field Teams, and Partners to surface workflows, data needs, and pain points.
  • Translate domain logic - Convert program and operational concepts into structured, actionable requirements.
  • Own documentation - Document functional and non-functional requirements and user stories; ensure documentation is versioned, searchable, and aligned with governance standards.

2. Product Definition & Roadmapping

  • Define features - Write product features, user stories, acceptance criteria, and success metrics.
  • Manage the backlog - Maintain and prioritize the product backlog in alignment with RTV's strategic goals.
  • Architecture alignment - Collaborate with the Platform Architect to ensure requirements are feasible, scalable, and technically sound.
  • Data Alignment - Work with Data Engineers to ensure cleaning rules, transformations, and metadata reflect program logic.

3. CrossFunctional Coordination

  • Bridge technical and program teams - Act as the connector between engineering teams and program stakeholders, translating in both directions.
  • Workshop facilitation - Lead workshops, design reviews, and sprint planning sessions.
  • Communication management - Ensure clear, documented communication of timelines, risks, and decisions to all stakeholders.

4. User Experience & Adoption

  • Conduct user research - Run user interviews, usability testing, and feedback cycles with internal teams and field partners.
  • Advocate for usability - Ensure platform features are intuitive, accessible, and grounded in field realities.
  • Stakeholder onboarding - Lead training and onboarding for internal teams and partners on new platform capabilities.

5. Quality Assurance & Release Readiness

  • Define acceptance criteria - Work with QA teams to build test plans aligned to requirements.
  • Validate releases - Review and sign off on platform releases before deployment.
  • Support rollouts - Ensure smooth delivery of new capabilities across countries and partner organizations.

Required Qualifications

  • 7+ years in Business Analysis or Product Management, with demonstrated experience owning requirements end-to-end in multi-team, multi-phase technical programs.
  • Post-secondary degree in Business Administration, Computer Science, Information Technology or relevant discipline/equivalent
  • Strong understanding of data engineering concepts and cloud platforms.
  • Familiarity with MEL frameworks, program monitoring, or evaluation design in development contexts.
  • Proven ability to translate business and program requirements into technical specifications.
  • Experience writing user stories, acceptance criteria, and process maps.
  • Strong facilitation skills; comfortable leading sessions with diverse stakeholder groups including senior leaders and technical specialists.
  • Experience with Agile delivery frameworks (Scrum and Kanban).
  • Proficiency with project and product management tools such as Jira, ClickUp, or equivalent.
  • Excellent written and verbal communication skills across technical and non-technical audiences.

Preferred Qualifications

  • Experience in international development, social impact, or NGO environments.
  • Experience with low-connectivity or field-facing software products.
  • Background in data governance, metadata management, or data quality frameworks.
  • CBAP, PMI-PBA, or equivalent professional certification.

Disclaimer:

This job description is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, or qualifications. The company reserves the right to modify, add, or remove duties as necessary.

RTV uses artificial intelligence to screen and assess applicants for this position, including through an applicant tracking system (ATS) that helps sort applications based on job related criteria. Our hiring team reviews all candidates and makes all final decisions.

Ontario Inclusion and Accessibility Statement:

RTV is committed to fostering an inclusive, equitable, and accessible workplace. We comply with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA). Accommodations are available upon request for candidates participating in all aspects of the employment process.