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Data Coder Jobs in Toronto, ON (NOW HIRING)

Provide mentorship to team members on data, code, and data science best practices Lead the creation of efficient, cost-effective high-availability pipelines. Provide ad hoc analytics and ...

Provide mentorship to team members on data, code, and data science best practices Lead the creation of efficient, cost-effective high-availability pipelines. Provide ad hoc analytics and ...

Mississauga ON On site- 5 days a week 12 month renewable contract 45$-65$hr depending on experience Area code: 416, 647 Postal code: L5T Keywords: #data.scientist.jobs #aerospace.industry.jobs #data ...

Write and maintain high-quality Python code to preprocess, process, and analyze large volumes of structured and unstructured documents, building robust data pipelines. * Design, build, and rigorously ...

Data Engineer III

Toronto, ON ยท On-site

CA$125K - CA$154K/yr

Execute & approve code check-in/ check-out into source code repository as part of source code ... Lead data engineering initiatives and capabilities, data governance principles and how they apply ...

Data Engineer II

Toronto, ON ยท On-site

CA$81K - CA$115K/yr

Execute & approve code check-in/ check-out into source code repository as part of source code ... Lead data engineering initiatives and capabilities, data governance principles and how they apply ...

We are looking for a handson Data Engineer with deep expertise in Apache Spark and strong ... Write productionquality Spark code with strong focus on performance, scalability, and reliability

Data Scientist

Markham, ON ยท On-site

CA$80K - CA$120K/yr

As a Data Scientist on the Fraud Data Science team , you'll work closely with a wide range of ... Design, develop, test, and deploy scalable, productionready code and machine learning models.

Data Scientist

Toronto, ON ยท On-site

CA$80K - CA$120K/yr

As a Data Scientist on the Fraud Data Science team , you'll work closely with a wide range of ... Design, develop, test, and deploy scalable, productionready code and machine learning models.

Data Scientist

Toronto, ON ยท On-site +1

The Data Scientist also participates in data science practices and capability development at OTPP ... Champion strong coding standards, including documentation, version control, testing ...

Experience in Agile development methodology. Knowledge of database design ,data modeling ... Experience code migrations and Job scheduling tools.

Experience in Agile development methodology. Knowledge of database design ,data modeling ... Experience code migrations and Job scheduling tools.

Conduct code reviews to uphold code quality standards and facilitate knowledge sharing * Participate in on-call rotations to maintain high availability and reliability of workflows and data pipelines

Big Data Developer ( Spark, AWS, Airflow, Snowflake, Big Data & ETL) Company: Cogency Inc. Location ... Knowledge of GenAI tools for code generation and developer productivity enhancement * Excellent ...

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Data Coder information

What are the key skills and qualifications needed to thrive as a Data Coder, and why are they important?

To thrive as a Data Coder, you need strong analytical skills, attention to detail, and a background in information management or health information technology, often supported by certification such as Certified Coding Specialist (CCS). Familiarity with coding systems like ICD-10, CPT, and healthcare databases, as well as proficiency in data entry software, is typically required. Excellent organizational skills, integrity, and the ability to communicate clearly with other healthcare professionals help set top performers apart. These skills ensure accurate coding, compliance with regulations, and reliable data for billing, reporting, and patient care.

How much do data coders make?

Data coders typically earn between $30,000 and $50,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced coders with specialized skills can earn higher salaries, especially if they work with advanced data management tools or certifications.

Who is the highest paid coder?

The highest paid coders are typically experienced software engineers or developers working in specialized fields such as artificial intelligence, machine learning, or blockchain technology. Senior roles in tech companies or those with expertise in in-demand programming languages like Python, Java, or C++ tend to command the highest salaries, often exceeding six figures annually.

How to become a data coder?

To become a data coder, you typically need a high school diploma or equivalent, along with skills in data entry, coding, and familiarity with data management tools like Excel or specialized software. Gaining experience through internships or entry-level positions and developing attention to detail are important, and some roles may require knowledge of programming languages such as Python or SQL.

What are some common challenges Data Coders face when working with large and complex datasets?

Data Coders often encounter challenges such as inconsistent data formats, missing values, and ambiguous information when handling large and complex datasets. Ensuring data accuracy and maintaining consistency across different sources can be time-consuming and requires strong attention to detail. Effective communication with team members, such as data analysts and project managers, is also essential to clarify coding guidelines and resolve uncertainties. Proactively addressing these challenges helps Data Coders maintain high-quality datasets and contribute to reliable data analysis.

What is the difference between Data Coder vs Data Entry Clerk?

AspectData CoderData Entry Clerk
Required CredentialsHigh school diploma, coding certifications (e.g., ICD, CPT)High school diploma or equivalent
Work EnvironmentHealthcare, insurance, or data management settingsOffices, administrative settings
Employer & Industry UsageHospitals, insurance companies, healthcare providersBusinesses, government agencies, offices
Common Search & ComparisonOften compared for data processing and coding accuracyCompared for data input speed and accuracy

Data Coders focus on translating medical or technical data into standardized codes, requiring specific certifications. Data Entry Clerks primarily input data into systems, emphasizing speed and accuracy. While both roles handle data, Data Coders require specialized knowledge, especially in healthcare coding, whereas Data Entry Clerks focus on general data input tasks.

What does a data coder do?

A data coder is responsible for reviewing, categorizing, and entering data into databases or systems, often using coding schemes or classification standards. They ensure data accuracy and consistency, frequently working with spreadsheets or data management software, and may require attention to detail and knowledge of coding protocols.
Infographic showing various Data Coder job openings in Toronto, ON as of June 2026, with employment types broken down into 4% As Needed, 74% Full Time, 9% Part Time, and 13% Contract. Highlights an 65% Physical, 5% Hybrid, and 30% Remote job distribution.

Senior Data Scientist

Canadian Tire

Toronto, ON โ€ข On-site

Full-time

Retirement

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Canadian Tire Corporation rating

4.8

Company rating: 4.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

What youu2019ll do
The Senior Data Scientist role provides analytical and technical support in the scope of executing targeted campaigns for our customers. The Senior Data Scientist will be the subject matter expert in combining customer-related data sources, collaborating with teams that produce customer insights, deploying data to execution platforms, and measuring lift in campaigns. The dynamic environment requires individuals with a cross functional background, excellent organizational skills, experience working in an agile project environment, advanced analytical ability, strong communication skills to deal effectively with stakeholders and the ability to work effectively in a team as well as independently. Statistics is your strong suit. You have a strong command of machine learning, data science and software engineering. Youu2019re analytical, a problem-solver, detail-oriented and enjoy working in a high-volume work environment. Youu2019re ambitious, balance technical and business acumen to offer strategic counsel to senior leadership and stakeholders. Thriving in a fast-paced environment, you network on all levels and work with an u2018automate firstu2019 mindset to continuously strive towards efficiency.
Partner with business stakeholders to ingest and utilize new data sources as they become available, provide ad hoc business reporting and analysis as requested
Work hand-to-hand with stakeholders to understand business problems, developing data-driven solutions to overcome these problems ultimately adding tangible business value
Provide insights and analytics on customer segments that influence test designs and hypotheses. For example, you may identify that for a target segment X, they over-index on attribute Y which may be important to include in the creative for campaign Z.
Measure post-campaign performance of campaigns, identify potential opportunities, and report on statistical significance. For example, using sales data, measure whether the campaign exposed group spent significantly more than the control group and report the relevant p-values.
Write queries that efficiently and accurately integrate customer data from a variety of organizational systems.
Ensure generated insights meet standards of analytical and statistical rigour, highlighting gaps where necessary.
Provide mentorship to team members on data, code, and data science best practices
Lead the creation of efficient, cost-effective high-availability pipelines.
Provide ad hoc analytics and recommendations for action as needed.
What you bring
M.S degree in Statistics, Engineering, Computer Science or a related field
3+ years of relevant work experience
Experience with data science disciplines, including hypothesis testing, statistical modeling, machine learning, recommendation systems, artificial intelligence, cognitive science, deep learning, etc.
In-depth experience with Python, SQL
Experience using advanced tools such as Hadoop, HIVE etc. and working knowledge with relational and non-relational modeling, database applications and integrations, ETL tools, client/server solutions, and modern query languages
Experience with cloud (e.g. AWS, Azure and GCP) and industry standard data warehousing technologies (Cloudera, Snowflake, etc.)
Experience in working with Big Data technologies (e.g. Hadoop, HIVE, Spark)
Project management, team mentorship and leadership qualities
Data intelligence and visualization platforms such as Looker, Google Data Studio, Tableau or other similar tools is preferred
MLOps experience is preferred
This posting represents an existing vacancy within our organization.
We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.
About Us
Canadian Tire Corporation, Limited (u201cCTCu201d) is one of Canadau2019s most admired and trusted companies. With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there''s a place for you here.
Our Commitment to Diversity, Inclusion and Belonging
We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.
Accommodations
We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.