Senior Data Scientist (Remote - Canada) at Jobgether

, , Canada -

Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

0.0

Posted On

24 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, SQL, Python, R, Statistical Techniques, Multiple Regression, Causal Inference, A/B Testing, Hypothesis Testing, Data Visualization, Storytelling, Collaboration, Communication, Exploratory Data Analysis, Self-Service Analytics, Data Infrastructure

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist in Canada. This role offers the opportunity to leverage data to improve learning outcomes and guide strategic decisions in a mission-driven organization. You will partner with product and leadership teams to design testable hypotheses, evaluate the impact of new features, and analyze large datasets to extract actionable insights. The position emphasizes both technical expertise and communication, allowing you to translate complex data findings into clear recommendations for non-technical stakeholders. You will contribute to self-service analytics initiatives, develop statistical models, and support product development with data-driven guidance. This role provides exposure to rich, real-world datasets and high-impact projects that directly influence user experience and educational outcomes. It is ideal for a curious, analytical, and collaborative professional passionate about making a measurable difference. Accountabilities: · Collaborate with product teams to define testable hypotheses and theories of action for new features. · Design, monitor, and analyze metrics to assess the success of initiatives and interventions. · Perform exploratory data analyses to uncover insights into learner and teacher behavior. · Apply statistical methods to quantify the impact of programs, features, and educational interventions. · Communicate results effectively to non-technical audiences, enabling data-driven decision-making. · Contribute to the development and enhancement of self-service analytics tools for product teams. · Work closely with engineering to maintain and improve data infrastructure, datasets, and reporting tools. · Bachelor’s degree in Applied Math, Statistics, Economics, or a related technical field. Advanced degrees are a plus. · 5+ years of experience in data science or analytics roles. · Strong proficiency with SQL and programming in Python or R. · Expertise in statistical techniques, including multiple regression, causal inference, A/B testing, and hypothesis testing. · Experience with data visualization and storytelling tools (e.g., Looker) to communicate insights effectively. · Strong business intuition and judgment with the ability to ask insightful questions and drive impact. · Prior experience in education or mission-driven organizations is a plus. · Proven ability to collaborate with cross-functional teams and communicate complex ideas to non-technical stakeholders. · Competitive salaries aligned with experience and location. · Flexible, remote-first work environment with time zone consideration. · Generous paid time off and pre-scheduled wellness days. · Parental leave and support for major life events. · Opportunities to work on high-impact products shaping the future of education. · Professional development and learning opportunities. · Inclusive and diverse team culture promoting growth and belonging. · Comprehensive benefits including 401(k) matching, medical, dental, vision, and life insurance. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

The Senior Data Scientist will collaborate with product teams to define testable hypotheses and analyze metrics to assess the success of initiatives. They will also perform exploratory data analyses and communicate results effectively to non-technical audiences.