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Sports Data Analyst – Remote

Remote / Online - Candidates ideally in
QC, Canada
Listing for: Mercor
Remote/Work from Home position
Listed on 2026-03-15
Job specializations:
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 40 - 60 CAD Hourly CAD 40.00 60.00 HOUR
Job Description & How to Apply Below

About The Job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark
, General Catalyst
, Peter Thiel
, Adam D'Angelo
, Larry Summers
, and Jack Dorsey
.

Position

Expert Evaluator

Type

Part-time

Compensation

$40–$60/hour

Location

Remote

Commitment

20–40 hours/week

Role Responsibilities
  • Evaluate agent-generated research reports for accuracy, relevance, data integrity, and clarity.
  • Assess insights derived from player statistics, team metrics, and game analytics.
  • Verify statistical tables, historical records, and league data using reputable public sources.
  • Identify inconsistencies in performance analysis, comparative metrics, and trend interpretations.
  • Work independently and asynchronously to complete evaluations within deadlines.
  • Maintain consistency and precision across all assigned tasks.
Qualifications

Must-Have

  • 2–3 years of professional experience in sports analytics, performance analysis, sports data research, or related roles.
  • Experience with player statistics, advanced metrics, and performance indicators.
  • Familiarity with team performance data, win‑loss trends, and efficiency metrics.
  • Experience in analyzing league standings, rankings, and seasonal comparisons.
  • Hands‑on exposure to historical sports records and longitudinal performance data.
  • Experience interpreting game analytics such as play‑by‑play data, predictive models, or advanced statistical metrics.
  • Experience sourcing and validating sports datasets, statistical tables, and historical records from credible public sources.
  • Strong analytical skills and attention to detail.
  • Excellent written communication skills.
  • Comfort working independently and asynchronously.
  • Bachelor’s or Master’s degree in Sports Analytics, Statistics, Data Science, Sports Management, Economics, or a related field.
Application Process (Takes 20–30 mins to complete)
  • Upload resume
  • AI interview based on your resume
  • Submit form
Resources & Support
  • For details about the interview process and platform information, please check:
  • For any help or support, reach out to:

PS:
Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

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