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Flexible Data Coding Jobs in Toronto, ON (NOW HIRING)

Strong communication skills: verbal, code, visualizations, and maps * Strong foundation in machine ... Flexible Time Off - Autonomy to manage your schedule and work-life balance. * Health, Welfare and ...

You'll build easy, flexible, and personalized banking solutions that enhance client experience and ... Code Quality : Contribute to code-review sessions and ensure overall code quality aligns with ...

Flexible work arrangements and a hybrid work model * Possibility to purchase up to 5 extra days off ... Write production-quality code that is stable, testable, and maintainable; contribute to shared ...

You'll build easy, flexible, and personalized banking solutions that enhance client experience and ... Code Quality : Contribute to code-review sessions and ensure overall code quality aligns with ...

Flexible work arrangements and a hybrid work model * Possibility to purchase up to 5 extra days off ... Write production-quality code that is stable, testable, and maintainable; contribute to shared ...

Flexible work arrangements and a hybrid work model * Possibility to purchase up to 5 extra days off ... Write production-quality code that is stable, testable, and maintainable; contribute to shared ...

Flexible work arrangements and a hybrid work model * Possibility to purchase up to 5 extra days off ... Write production-quality code that is stable, testable, and maintainable; contribute to shared ...

Own the full development lifecycle by developing, testing, supporting and maintaining all code for ... Additional Information Why Join Data Intellect? * Hybrid & flexible working - balance your time ...

Data Engineer

Concord, ON

CA$90K - CA$150K/yr

Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g ... flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client ...

Data Engineer

Markham, ON

CA$90K - CA$150K/yr

Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g ... flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client ...

... as-code using Terraform. * Perform data profiling, quality checks, and root-cause analysis to ... Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits ...

Flexible work/life balance options * Opportunities to do challenging work #LI-POST #TechPJ Job ... Coding Additional Job Details Address: MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA City:

Hybrid Reference code: 132605 Primary Location: Toronto, ON All Available Locations: Toronto, ON ... Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and ...

You will be working on a flexible hybrid schedule as part of Fidelity's dynamic working arrangement ... codes and client categories, and master data such as clients, vendors, product and employees.

Showing results 21-40

Flexible Data Coding information

What is flexible data coding?

Flexible data coding jobs involve categorizing, labeling, or organizing data according to specific guidelines, often for use in research, machine learning, or business analytics. These roles are typically remote or offer flexible hours, allowing workers to complete tasks on their own schedule. The work may include tagging images, transcribing audio, classifying text, or entering information into databases. Flexible data coding jobs are popular for those seeking part-time or remote work and often require attention to detail and basic computer skills.

What are some common challenges faced in a flexible data coding role, and how can they be managed?

In a Flexible Data Coding role, professionals often encounter challenges such as handling large volumes of unstructured data, ensuring consistency in data labeling, and adapting quickly to changing project requirements. Effective communication with team members and clear documentation of coding protocols can help maintain accuracy and efficiency. Utilizing automated tools where appropriate and staying updated on coding standards also greatly assists in overcoming these challenges and delivering high-quality results.

What are the key skills and qualifications needed to thrive as a flexible data coder, and why are they important?

To excel as a Flexible Data Coder, you need strong analytical skills, attention to detail, and a solid understanding of data management or coding systems, often supported by a degree in computer science, information systems, or a related field. Familiarity with coding languages (such as SQL, Python, or R), data entry platforms, and data quality assurance tools is typically required. Strong problem-solving abilities, adaptability, and effective communication help professionals address data discrepancies and collaborate with diverse teams. These skills and qualities ensure accurate data processing, maintain data integrity, and support efficient decision-making within organizations.

What is the difference between Flexible Data Coding vs Data Analyst?

AspectFlexible Data CodingData Analyst
Required CredentialsBasic coding skills, possibly certifications in data managementDegree in statistics, data science, or related field; often certifications in analytics tools
Work EnvironmentData entry, coding, and database management in various industriesData analysis, reporting, and visualization in corporate or research settings
Employer & Industry UsageUsed across industries for data organization and coding tasksCommonly employed in finance, marketing, healthcare, and tech sectors

Flexible Data Coding focuses on coding and organizing data efficiently, often with basic programming skills. Data Analysts interpret and analyze data to inform business decisions, requiring more advanced analytical skills. While both roles work with data, their core functions and skill requirements differ significantly.

What are the most commonly searched types of Data Coding jobs in Toronto, ON?

The most popular types of Data Coding jobs in Toronto, ON are:

Data Scientist

Epistemix

Toronto, ON • Remote

Full-time

Medical, Retirement

Re-posted 11 days ago


Job description

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform. This role contributes to profitable growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers. Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers.

About Epistemix

The most consequential decisions in public health, life sciences, insurance, and enterprise strategy share a common problem: they involve human behavior, network effects, and downstream effects that cannot be safely tested before action is taken. Traditional analytical techniques built on historical data were not built for this. Epistemix was.

We build simulation and data-driven modeling tools that let leaders visualize how strategies will unfold across populations and systems before they commit resources. By clarifying which variables drive outcomes, where leverage exists, and how they interact, we help organizations move from uncertainty to conviction. Getting these decisions right means faster interventions, better-allocated resources, and measurable improvements in human and economic outcomes. We exist to make that possible.

Our platform gives organizations access to realistic, high-resolution population data and the modeling infrastructure to run scenario planning at scale. Together, these capabilities let decision-makers stress-test strategies in a controlled environment before deploying them in the real world across healthcare, consumer industries, insurance, and government. We are approaching our Series B and actively building the team that will define what comes next.

Responsibilities

Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact

  • Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making

  • Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases

  • Provide guidance for proposals on feasibility of scope and how to ensure impact

  • Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform

  • Engage with customer users to provide informal support, tips, and troubleshooting

  • Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans

  • Participate in reviews with customers to document and improve measurable impact

  • Provide feedback to Product and Sales teams to align offerings with customer needs

  • Follow advancements in data science, machine learning, and healthcare analytics

Qualifications
  • Commitment to understanding customer needs and helping them achieve goals

  • Creative mindset with a passion for tackling challenging problems with data

  • Ability to collaborate with diverse users and internal teams

  • Strong communication skills: verbal, code, visualizations, and maps

  • Strong foundation in machine learning, data modeling, and predictive analytics

  • Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred

  • Comfort working in a dynamic environment with evolving priorities and customer needs

  • Proficiency in Python and associated data science technologies

  • Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools

  • Expertise in SQL or NoSQL databases preferred

  • 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in PhD program can count toward experience)

  • Masters or Ph.D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field

  • Experience with more than one company size or business stage preferred

  • Must be legally authorized to work in the United States and not require employer sponsorship now or in the future.

Why Join Epistemix?

By joining Epistemix, you will become part of a collaborative and rapidly growing team that values curiosity and creativity. We are fully remote, with team members in the United States and Europe. Benefits include:

  • Equity & Incentives – Participation in our stock option program.

  • Flexible Time Off – Autonomy to manage your schedule and work-life balance.

  • Health, Welfare and 401(k) Programs – Eligibility for benefits (for U.S. employees).

  • Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.

This is a remote position open to applicants located in the United States. Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.