Data Scientist

3 days ago

Greater Montreal Metropolitan Area, Canada Mercor Full time $80,000 - $140,000 per year

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:
Data Scientist

Type:
Contract
Compensation:
$56/hour
Location:
Remote
Commitment:
30–40 hours/week
Role Responsibilities

  • Analyze large, complex datasets to uncover patterns and develop insights. Inform modeling direction and improve AI model training.
  • Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data.
  • Design and implement robust validation strategies, experiment frameworks, and analytical methodologies.
  • Develop automated data workflows, feature pipelines, and reproducible research environments.
  • Conduct exploratory data analysis, hypothesis testing, and model-driven investigations to support research and product teams.
  • Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale.

Qualifications
Must-Have

  • Kaggle Competitions Grandmaster or comparable achievement.
  • 3–5+ years of experience in data science or applied analytics.
  • Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn).
  • Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment.
  • Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis.
  • Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools.
  • Excellent communication skills with the ability to clearly present analytical insights.

Preferred

  • Strong contributions across multiple Kaggle tracks.
  • Experience in an AI lab, fintech, product analytics, or ML-focused organization.
  • Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data.
  • Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery).
  • Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming.

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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