Chief Data Scientist | Upto $77/hr Hourly

2 weeks ago


Canada Mercor Full time

Chief Data Scientist | Upto $77/hr Hourly 2 days ago – Be among the first 25 applicants. Get AI-powered advice on this job and more exclusive features. This range is provided by Mercor. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $56.00/hr–$77.00/hr 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 ScientistType: ContractCompensation: $56–$77/hourCommitment: 30–40 hours/week Role Responsibilities Analyze large, complex datasets to uncover patterns and inform modeling direction. Collaborate with researchers and engineers to design rigorous experiments. Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data. Design and implement robust validation strategies and experiment frameworks. Develop data-driven frameworks to support product and research decisions. Develop automated data workflows and feature pipelines. Ensure reproducible research environments. Conduct exploratory data analysis, hypothesis testing, and model-driven investigations. Translate outcomes into recommendations for engineering, product, and leadership teams. Collaborate with ML engineers to productionize models. 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 and experiment design. Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools. Excellent communication skills. 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 with big data ecosystems (Spark, Ray, Snowflake, BigQuery). Familiarity with statistical modeling frameworks such as Bayesian methods. Application Process (Takes 20–30 minutes 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. #J-18808-Ljbffr



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