Data Scientist

5 days ago

Greater Montreal Metropolitan Area, Canada Mercor Full time

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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