Keystone Recruitment · 18 hours ago
Data Scientist IV
New York, United States
Full-time
Onsite
Mid, Senior Level
$105/hr - $125/hr
3+ years expKeystone Recruitment is seeking an experienced Data Scientist IV to drive innovation through advanced analytics and modeling of high-dimensional biosensor data. This role will contribute directly to biosensing research and development, enabling next-generation product improvements and prototype development.
Staffing & Recruiting
Responsibilities
Execute, debug, and optimize distributed compute workflows for large-scale metric computation and modeling
Apply statistical analysis, machine learning, and advanced mathematical methods to uncover patterns in biosensor datasets
Design and develop predictive models to extract actionable insights from real-world sensor data
Analyze time-domain signals and/or medical imaging data
Apply signal processing techniques to improve data interpretation and model performance
Support hardware sensor data analysis and prototype validation
Generate and test hypotheses through structured product experimentation
Interpret experimental results to inform product and R&D strategy
Partner with engineering teams to translate analytical prototypes into scalable product solutions
Provide technical guidance for large-scale deployment of models and analytics frameworks
Develop visualizations to communicate insights clearly to technical and non-technical stakeholders
Present findings from statistical and machine learning analyses to diverse audiences
Qualification
Required
Master's or PhD in Computer Science, Statistics, Neuroscience, Biomedical Engineering, or related field
3+ years of experience in data extraction, manipulation, and visualization
Strong proficiency in Python, R, MATLAB, and/or SQL
Experience working with large-scale datasets
Strong understanding of data structures and algorithms
Experience with hardware sensor data and real-world signal analysis
Signal processing expertise (time-domain signals and/or medical imaging systems)
Scientific computing libraries: NumPy, SciPy, Pandas, Scikit-learn, dplyr, caret
Data visualization tools: Matplotlib, Pyplot, seaborn, ggplot2
Machine learning and predictive modeling techniques
Advanced Statistical Analysis
Machine Learning & Predictive Modeling
Signal Processing
Experimental Design
Distributed Compute Workflows
Cross-Functional Technical Collaboration
Company
Keystone Recruitment
Great companies are built on strong people. At Keystone Recruitment, we identify the pivotal talent that holds your organisation together.
11-50 employeesFunding
Current Stage
Early StageCompany data provided by crunchbase