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Remote Economics Data Science Jobs in Toronto, ON

McKesson

Senior / Lead Data Engineer

Mississauga, ON · On-site +1

Bachelor's or master's degree in data science, Statistics, Computer Science, Economics, ora relatedfield. * 7+ years of experience in data analytics, with at least 2 years in a leadership or ...

McKesson

Senior / Lead Data Engineer

Mississauga, ON · On-site +1

Bachelor's or master's degree in data science, Statistics, Computer Science, Economics, ora relatedfield. * 7+ years of experience in data analytics, with at least 2 years in a leadership or ...

Epistemix

AI Engineer

Toronto, ON · Remote

... economic outcomes. We exist to make that possible. Our platform gives organizations access to ... Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a ...

Vancity

Machine Learning Engineer Lead

Toronto, ON · Remote

While this position provides a remote work arrangement, you will be expected to be on-site for events and business demands How You'll Make an Impact: * Applying Data Science and Machine Learning best ...

Rush Street Interactive

Affiliate Manager

Toronto, ON · Remote

... economics. * Collaborate with internal teams (Brand Marketing, Performance Marketing, Finance, BI ... Collaborate with Data Science and Marketing Analytics teams to create affiliate performance ...

Morson Talent

25-053 Data Architect

Pickering, ON · On-site +1

$85 - $100/hr

... remote) Job Overview JOB FUNCTION As a Data Architect you will be responsible for leading the Azure ... scientists, data engineers, data analysts and solution architects to develop data pipelines to feed ...

JLL

Senior Data Engineer

Toronto, ON · Remote

Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related ... Remote -Toronto, ON Opening Type: New Role If this resonates with you, we encourage you to apply ...

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All JobsEconomics Data Science JobsRemote Economics Data Science JobsRemote Economics Data Science Jobs in Toronto, ON

Remote Economics Data Science information

What is a remote economics data scientist?

A Remote Economics Data Scientist is a professional who analyzes large sets of economic and financial data to extract insights, build predictive models, and support decision-making, all while working from a remote location. They combine expertise in economics, statistics, programming, and data analysis to interpret trends and inform business or policy strategies. Remote Economics Data Scientists often use tools such as Python, R, SQL, and data visualization platforms to communicate findings effectively. Their work can span industries like finance, government, consulting, and academia.

How do remote economics data scientists typically collaborate with cross-functional teams?

Remote Economics Data Science professionals often work closely with teams in product, engineering, and business strategy through virtual meetings, shared dashboards, and collaborative tools. Communication is key, as they translate complex economic models and data findings into actionable insights for stakeholders with varying technical backgrounds. Regular check-ins, clear documentation, and participation in agile sprints or project cycles help align goals and ensure that data-driven recommendations are integrated into decision-making processes. Adapting to different time zones and building strong virtual relationships are important aspects of effective collaboration in this remote role.

What are the key skills and qualifications needed to thrive as a remote economics data scientist, and why are they important?

To thrive as a Remote Economics Data Scientist, you need a strong background in economics, statistics, and data analysis, typically supported by a degree in economics, statistics, or a related field. Proficiency in programming languages like Python or R, experience with data visualization tools, and familiarity with databases or cloud platforms are essential technical skills. Strong problem-solving abilities, effective communication, and self-motivation are vital soft skills for collaborating remotely and delivering actionable insights. These skills are crucial for accurately interpreting economic data, building predictive models, and driving data-informed decision-making in a remote environment.

What are popular job titles related to Remote Economics Data Science jobs in Toronto, ON?

For Remote Economics Data Science jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Economics Data Science jobs in Toronto, ON look for?

The top searched job categories for Remote Economics Data Science jobs in Toronto, ON are:

Remote Economics Data Science jobs near you
Infographic showing various Remote Economics Data Science job openings in Toronto, ON as of June 2026, with employment types broken down into 41% Internship, and 59% Full Time. Highlights an 100% Remote job distribution.

Senior / Lead Data Engineer

McKesson

Mississauga, ON • On-site, Remote

Full-time

Re-posted 21 days ago

McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

46th of 86 rated pharmaceutical

Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Job title: Senior/Lead Data Engineer

Current Need:

The Senior / Lead Data Engineer will bepart of McKesson Decision Intelligence team, and responsibilities include managing data exploration and analysis, requirements assessment, data source identification, exploratory research, and defining as well asmaintainingdata definitions, business rules, and lineage.Additionalduties involve documentation, collaborating with Data Architects and Engineers on product design, data stewardship, metadata management, ensuring data quality, conductingdifferent typesof testing(functional, regression, exploratory), and preparing and executing test cases and plans.

Key Responsibilities

  • Support a cross-functional team andprovidein-depth data insights for complex business problems that can be approached with advanced analytics

  • Work closely with the other Data Engineers and Scientists to deliver results

  • Citizen of PSAS BU data engineering team and enable the BU Driven Data Insights

  • Coordinate and collaborate with program managers and other internal stakeholders including gathering requirements and modeling criteria

  • Leverage tools and resources to plan,evaluateand execute strategic initiatives

  • Strong delegation and management skills to ensure work is conducted ina timely, quality fashion by internal and external partners and multi-shore teams/resources.

  • Continuously improve andoptimizebusiness processes and operations.Identifying, publicizing the tech debt across data landscape and championing addressal pursuits.

  • Data Engineering and Analytics support

  • Thinks in automation first, enterprise first and reusability mindset. Develops solution architectures and designs and helps build consensus among teams to champion the data solutions.

  • Collaborates with and across Agile teams to design, develop, test, implement, and support technical solutions with full stack of Data technologies,toolsand processes.

  • Implements data governance practices in partnership with business stakeholders and peers, data governance officeteamsand solution teams to advocate for data literacy and data democratization across enterprise.

  • Builds scalable and reliable data engineering solutions for moving data efficiently across systems from various internal and external data sources in the batch and real-time mode

  • Analyzes, models structured data and implement/scale algorithms to support analysis using advanced statistical and mathematical methods from statistics, data mining, econometrics, and operations research, using distributed and parallel programming techniques.

  • Must be well versed in general infrastructure technology and understand public and private cloud concepts such as Software as a Service (SaaS), Platform as a Service (PaaS), Desktop as a Service (DaaS), and Infrastructure as a Service (IaaS) Experience with automation to Infrastructure (IaC- Infrastructure as Code)

  • Troubleshooting, Monitoring and Performance Tuning of various software components of various data science analytical solutions, RESTful web services etc...

  • Understanding oflarge database mining tools and statistical languagesutilizedto efficiently build approaches andexecute onanalytical use cases. Specific experience withSnowflake, Databricks, Azure data factory,PySpark,Analytical SQL,Splunk,Alation,R, Python.Experience with SAP and IBM DataStage is also extremely beneficial.

  • Communicateresults and educate others through reports and presentations.

Minimum Job Qualifications(Knowledge, Skills, & Abilities):

Education/Training -

  • Bachelor's or master's degree in data science, Statistics, Computer Science, Economics, ora relatedfield.

  • 7+ years of experience in data analytics, with at least 2 years in a leadership or mentorship role.

  • Proficiencyin SQL, Python, R, or similar analytical tools.

  • Experience with data visualization platforms such as Power BI, Tableau, or Looker.

  • Strong understanding of statistical analysis, predictive modeling, and data mining techniques.

  • Experience with analytical tools such as Databricks & Snowflake

  • Excellent communication and stakeholder management skills.

  • Ability to manage multiple projects and priorities in a fast-paced environment.

Specialized Knowledge/Skills -

  • Leadership Skills:Exceptional ability to lead, mentor, and inspire teams, fostering an environment of accountability and innovation. This positionoperatesunder consultative direction towards broad corporate goals, requiring a high degree of initiative and independence in achieving project outcomes.

  • Strategic Thinking: Strong analytical skills and the ability to develop strategies that align with long-termobjectives.

  • Problem Solving: Innovative and creative problem-solving skills capable of handling complex challenges.

Working Conditions:Environment (Office, warehouse, etc.) -

  • Traditional officeenvironment.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

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