Apply now

Posted 11 months ago

Data Scientist

@ Epistemix

Toronto, Ontario

RemoteFull-time2+ years experience
Apply now
SIGNALS

Overview

Epistemix is hiring a full-time remote Data Scientist to support customers in integrating data, building simulation and predictive models, and creating visualizations on its platform. The role focuses on customer onboarding, feasibility guidance, and measurable impact in healthcare use cases. Candidates must be legally authorized to work in the United States, with no visa sponsorship offered.

Responsibilities:

  • Work with customer teams to plan data integration, modeling and visualization
  • Develop, test and validate simulation models for healthcare use cases
  • Contribute to customer onboarding and content
  • Provide troubleshooting and support to customer users
  • Participate in impact reviews and give feedback to Product and Sales

Requirements summary:

  • Master's or PhD in a quantitative field
  • 2-3 years as a Data Scientist, Analyst or similar
  • Strong foundation in machine learning and predictive analytics
  • Proficiency in Python and data science technologies
  • Healthcare industry understanding, prior healthcare experience strongly preferred
  • Legal authorization to work in the United States

Tools & skills

Benefits mentioned

Retirement planStock options
Source and dates

Employer career site / ATS feed · ashby

Employer posting date
2025-12-08
First seen by our source
2026-10-11
Source record updated
2026-10-11

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityMid level
DepartmentData & analytics
Experience2+ years
Hours per week40 (estimated)
Work settingHome
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationMaster’s degree (required), Doctorate (required)
Fields of studyData Science, Computer Science, Epidemiology, Economics, Public Health
Perks mentionedStock or equity

Summary and details written by AI from the posting; the employer’s posting is the authority.

Epistemix

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

Other recorded names
  • Epistemix
FieldValue
Open jobs on Jobsy4
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.

Similar jobs

  • Data Scientist

    Toronto, ON

    Scotiabank

    Candidates need expert Python skills, experience applying AI and machine learning to business problems, and strong SQL and big data skills. They also need Power BI expertise, a relevant STEM degree and strong communication skills.

    Python, SQL, Hadoop, Spark, Power BI, Google Cloud

  • Senior Data Scientist

    Oakville, ON
    Full Time

    Canadian Tire Bank

    5+ YOECandidates need a university degree in statistics, actuarial science or mathematics and five or more years building predictive models and scorecards. They need strong SQL, Python and SAS skills and the ability to explain analytical results to business stakeholders.

    SQL, Python, SAS, Databricks, FICO Analytics Workbench, SAS Enterprise Miner

  • Senior Data Scientist

    Ontario
    Remote

    Instacart: Instacart, the leading grocery technology company in North America, works with grocers and retailers to transform how people shop.

    5+ YOECandidates need 5+ years in a quantitative role, a record of owning ambiguous cross-functional problems, strong experiment design skills, and SQL and Python or R. An MS or PhD in a quantitative field is preferred.

  • Senior Data Scientist

    Toronto, ON
    Full Time

    BDO Canada LLP: BDO Canada LLP is a leading provider of professional services to clients across a variety of sectors and segments.

    5+ YOECandidates need a master's or PhD in a quantitative field and 5+ years building machine learning models in production. Strong Python, SQL and NoSQL skills, cloud deployment experience and clear communication are required.

    Python, TensorFlow, PyTorch, Kubernetes, NVIDIA Triton Server, Git

  • Senior Data Scientist

    Toronto, ON

    Conviva

    5+ YOECandidates need a PhD in Computer Science, Statistics or a related field, or an MS with 5+ years of applied ML experience. They need strong skills in machine learning, deep learning and statistics, Python proficiency, and habitual use of AI coding tools.

    Python, Scala, Spark, Ray, Claude, Cursor

  • Data Scientist

    Toronto, ON
    Full Time

    Bank of Montreal

    3+ YOECandidates need about 3 years of relevant experience or equivalent certification and education, with strong programming in Python or SAS. They also need SQL and big data skills (Hadoop, Spark), and cloud modeling or pricing optimization experience is an asset.

    Python, SAS, SQL, Hadoop, Spark, AWS SageMaker

  • Sr. Data Scientist, Fraud Analytics

    Toronto, ON
    Full Time

    Canadian Imperial Bank of Commerce (Canada): C'est aussi pourquoi une carrière à la Banque CIBC est plus qu'un emploi : c'est une occasion de grandir et de travailler aux côtés de certaines des…

    Candidates need a degree or diploma in analytics, statistics or computer science, plus experience with SQL, SAS, Python or Tableau. Strong modeling, communication and leadership skills are also required.

    SQL, SAS Miner, Python, Tableau

  • Senior Data Scientist II

    Ottawa, ON
    Remote

    Akamai: LinkedIn: https://www.linkedin.com/company/akamai-technologies

    8+ YOECandidates need 8 years of relevant experience and a Bachelor's degree or equivalent. They must know SQL, Spark and Python, machine learning, statistics and internet protocols, and communicate technical ideas clearly.

    SQL, Spark, Python

Locations & environments

Locations

All of CanadaRemote · Hybrid · On-site · Field

Pro tip: add remote jobs to widen your search.

Exclude locations

Workplace type

Company jobs in these results

These are this company’s jobs loaded in your current search. The company may have more openings.