Job Specifications
Position: Data Scientist (Kaggle Grandmaster)
Type: Hourly Contract (Independent Contractor)
Compensation: $56 – $77/hour
Location: Remote
Commitment: 30–40 hours/week (flexible; full-time optional)
Role Responsibilities
Analyze large, complex datasets to uncover patterns, generate insights, and inform modeling strategies.
Build end-to-end predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, and multimodal datasets.
Design and implement robust validation strategies, experimentation frameworks, and analytical methodologies.
Develop automated data workflows, feature engineering pipelines, and reproducible research environments.
Conduct exploratory data analysis, hypothesis testing, and model-driven investigations to support research and product teams.
Translate analytical and modeling outcomes into clear, actionable recommendations for engineering, product, and leadership stakeholders.
Collaborate with machine learning engineers to productionize models and ensure data workflows operate reliably at scale.
Create structured dashboards, reports, and documentation to clearly communicate findings.
Support high-impact research and product initiatives through advanced analytical problem-solving.
Requirements
Kaggle Competitions Grandmaster or equivalent demonstrated excellence (top-tier rankings, multiple medals, or exceptional competition performance).
Strong professional experience in data science or applied analytics.
Strong proficiency in Python and data science libraries such as Pandas, NumPy, Polars, and scikit-learn.
Hands-on experience building machine learning models end-to-end, including feature engineering, training, evaluation, and deployment.
Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis.
Experience working with modern data stacks, including SQL, distributed datasets, dashboards, and experiment tracking tools.
Excellent communication skills with the ability to clearly present complex analytical insights.
Ability to work independently in a remote, fast-paced research environment.
Strong analytical thinking and problem-solving skills with attention to detail.
Application Process
Upload resume (Kaggle profile required)
Interview (15–30 min)
Submit form
About the Company
At Crossing Hurdles, we specialise in customised recruitment and staffing solutions designed to drive success for businesses and professionals. Our focus is on connecting organisations with top-tier talent by sourcing, screening, and presenting only the top 1% of candidates across a wide range of industries. We work closely with clients to understand their unique needs, ensuring that we find candidates who not only fit the role but also align with their organizational culture. Over the past few quarters, we've successfully p...
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