Machine Learning Engineer | Remote

Crossing Hurdles is seeking a Data Scientist (Kaggle Grandmaster) to analyze complex datasets and build predictive models. The role involves collaborating with teams to translate analytical outcomes into actionable insights and supporting high-impact research initiatives.

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