Crossing Hurdles · 8 hours ago
Machine Learning Scientist | Remote
Crossing Hurdles is seeking a Data Scientist IV to work on advanced algorithms and predictive models for biosensor data analysis. The role involves executing distributed compute workflows, applying machine learning techniques, and collaborating with engineering teams to develop scalable products.
Staffing & Recruiting
Responsibilities
Execute, debug, and optimize distributed compute workflows across large datasets
Design and evaluate predictive models and advanced algorithms for biosensor data analysis
Apply statistical, machine learning, and mathematical techniques to extract actionable insights
Generate and test hypotheses and interpret experimental results to guide R&D decisions
Collaborate with engineering teams to translate prototypes into scalable products and features
Qualification
Required
Master's or PhD degree in computer science, statistics, neuroscience, biomedical engineering, or a related field
Strong experience with large scale data analysis and scientific computing
Proficiency in Python, R, MATLAB, or SQL for data manipulation and modeling
Experience with scientific libraries such as NumPy, SciPy, Pandas, Scikit learn, or equivalent
Strong communication skills and ability to present findings to diverse stakeholders
Company
Crossing Hurdles
At Crossing Hurdles, we specialise in customised recruitment and staffing solutions designed to drive success for businesses and professionals.
Funding
Current Stage
Early StageCompany data provided by crunchbase