Data Science Intern
Rocket Mortgage
Data Scientist
HighlightTA
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇨🇦 Canada
Visit company websiteSalary
💰 CA$140,000 - CA$175,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPythonSQL
About the role
- Design, build, and validate predictive machine learning models for real-world, client-facing use cases.
- Explore and connect data across marketing, finance, and application platforms to unlock predictive insights.
- Partner with a third-party AWS contractor to leverage and inform the development of MLOps components (e.g., SageMaker templates).
- Conduct exploratory data analysis (EDA) to identify key relationships and features.
- Translate model outputs into actionable strategies for customers and internal teams.
- Build dashboards and reports that deliver value both at scale and at the individual client level.
- Work independently to drive end-to-end projects, from hypothesis to production.
- Collaborate closely with the Data Engineer to ensure models are robust, scalable, and successfully integrated into production pipelines.
- Share findings clearly with stakeholders across product, marketing, and finance teams.
Requirements
- 4+ years of experience in a data science role, with proven experience taking ML models from concept to a production environment.
- Experience making decisions around data modeling or ML architecture.
- Strong skills in any statistical programming language (e.g., Python, R); Python is preferred.
- Advanced SQL proficiency for complex data manipulation and analysis.
- Hands-on experience with a cloud ML platform; AWS SageMaker strongly preferred, but GCP or Azure ML experience may be considered.
- Ability to manage projects independently in a fast-paced, ambiguous environment.
- Strategic thinking and curiosity about applying data science to real-world business problems.
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics).
- Legally authorized to work in Canada (implied by application question).
Benefits
- Unlimited paid time off.
- Comprehensive health plans (medical, dental, vision).
- 401(k) with up to 3.5% company match.
- Paid parental leave after one year.
- Company-paid life insurance and long-term disability.
- Pet insurance.
- 11 company holidays.
- Paid sick time and a monthly paid volunteer day.
- Medical and dependent care flexible spending accounts.
- Fully remote workplace.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningpredictive modelingexploratory data analysisdata modelingstatistical programmingPythonRSQLcloud ML platformMLOps
Soft skills
independent project managementstrategic thinkingcuriositycommunicationcollaboration