Crossing Hurdles · 19 hours ago
Data Scientist IV | Remote
United States
Full-time
Remote
Senior Level
$80/hr - $110/hrCrossing Hurdles is seeking a Data Scientist IV to optimize workflows for metric computation and analysis across large datasets. The role involves applying advanced statistics and machine learning techniques to support biosensor product development and collaborating with engineering teams to translate analytical prototypes into scalable products.
Staffing & Recruiting
Responsibilities
Execute, debug, and optimize distributed compute workflows for metric computation, analysis, and modeling across large and high-dimensional datasets
Apply advanced statistics, machine learning, programming, data modeling, simulation, and mathematical techniques to identify patterns, generate insights, and support biosensor product development
Design, develop, and evaluate predictive models and advanced algorithms to maximize value extraction from biosensor and sensor-based datasets
Generate, test, and analyze hypotheses through structured experimentation and interpret results to guide product and R&D decisions
Collaborate closely with engineering teams to translate analytical prototypes into scalable products, services, and features
Provide analytical guidance and recommendations for large-scale implementation of data-driven solutions
Leverage data visualization and exploratory analysis to inform strategic decisions around future biosensing research and development directions
Support continuous improvement of data pipelines, modeling approaches, and analytical methodologies
Qualification
Required
Master's or PhD degree in Computer Science, Statistics, Neuroscience, Biomedical Engineering, or a closely related field
Strong experience working with large-scale, real-world datasets, particularly sensor or biosensor data
Hands-on experience with signal processing in time-domain signals and/or medical imaging systems
Strong experience of performing data extraction, manipulation, modeling, and visualization using Python, R, MATLAB, or SQL
Proficiency in data structures, algorithms, and scientific computing methodologies
Experience with scientific computing and machine learning libraries such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, and caret
Experience with data visualization libraries including Matplotlib, Pyplot, seaborn, or ggplot2
Strong ability to present statistical and machine learning findings to both technical and non-technical audiences
Excellent analytical, problem-solving, and collaboration skills
Company
Crossing Hurdles
At Crossing Hurdles, we specialise in customised recruitment and staffing solutions designed to drive success for businesses and professionals.
Founded in 2022
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase