Data Scientist IV

Job Summary: Data Scientist IV at North Star Staffing

North Star Staffing is seeking an experienced Data Scientist IV to spearhead innovation through advanced analytics and modeling of high-dimensional biosensor data. This pivotal remote role will directly contribute to biosensing research and development, fostering next-generation product enhancements and prototype creation. The ideal candidate will possess a robust blend of statistical and machine learning expertise, coupled with practical experience in hardware sensor data, signal processing, and experimental analysis.

Key Responsibilities

• Advanced Data Analysis & Modeling: 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.
• Signal Processing & Sensor Analytics: Analyze time-domain signals and/or medical imaging data. Apply signal processing techniques to enhance data interpretation and model performance. Support hardware sensor data analysis and prototype validation.
• Experimentation & Hypothesis Testing: Generate and test hypotheses through structured product experimentation. Interpret experimental results to inform product and R&D strategy.
• Cross-Functional Collaboration: Partner with engineering teams to translate analytical prototypes into scalable product solutions. Provide technical guidance for large-scale deployment of models and analytics frameworks.
• Visualization & Communication: Develop compelling visualizations to communicate insights clearly to both technical and non-technical stakeholders. Present findings from statistical and machine learning analyses to diverse audiences.

Minimum Qualifications

• Master’s or PhD in Computer Science, Statistics, Neuroscience, Biomedical Engineering, or a closely related field.
• 3+ years of experience in data extraction, manipulation, and visualization.
• Strong proficiency in Python, R, MATLAB, and/or SQL.
• Demonstrated experience working with large-scale datasets.
• Strong understanding of data structures and algorithms.

Required Technical Skills

• Proven experience with hardware sensor data and real-world signal analysis.
• Expertise in signal processing (including time-domain signals and/or medical imaging systems).
• Proficiency in scientific computing libraries: NumPy, SciPy, Pandas, Scikit-learn, dplyr, caret.
• Familiarity with data visualization tools: Matplotlib, Pyplot, seaborn, ggplot2.
• Solid understanding of machine learning and predictive modeling techniques.

Key skills/competency

• Biosensor Data Analysis
• Machine Learning
• Statistical Modeling
• Signal Processing
• Hardware Sensor Data
• Distributed Computing
• Predictive Analytics
• Python/R/MATLAB/SQL
• Data Visualization
• Experimental Design