11 days ago
Data Scientist IV
Keystone Recruitment
Hybrid
Full Time
$250,000
Hybrid
Job Overview
Job TitleData Scientist IV
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$250,000
LocationHybrid
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Job Description
Overview
We are 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.
The ideal candidate combines strong statistical and machine learning expertise with hands-on 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 improve 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 visualizations to communicate insights clearly to 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 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
Required Technical Skills
- 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
Core Competencies
- Advanced Statistical Analysis
- Machine Learning & Predictive Modeling
- Signal Processing
- Experimental Design
- Distributed Compute Workflows
- Cross-Functional Technical Collaboration
Work Environment
- Onsite in New York City
- Research-driven, data-intensive environment
- Close collaboration with hardware and engineering teams
Key skills/competency
- Biosensor Data Analysis
- Machine Learning
- Statistical Modeling
- Signal Processing
- Predictive Analytics
- Distributed Computing
- Experimental Design
- Python
- SQL
- Data Visualization
How to Get Hired at Keystone Recruitment
- Research Keystone Recruitment's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for Data Scientist IV: Customize your resume to highlight experience in biosensor data, signal processing, and machine learning.
- Showcase relevant projects: Prepare a portfolio demonstrating advanced statistical analysis, predictive modeling, and data visualization skills.
- Master technical concepts: Be ready for in-depth questions on Python, R, SQL, and scientific computing libraries like NumPy and Scikit-learn.
- Practice behavioral responses: Prepare examples of cross-functional collaboration, problem-solving, and communication of complex data insights.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What kind of biosensor data will I primarily work with as a Data Scientist IV at Keystone Recruitment?
02What is the expected level of collaboration with engineering teams for the Data Scientist IV role?
03What specific programming languages and libraries are essential for a Data Scientist IV at Keystone Recruitment?
04Does the Data Scientist IV position at Keystone Recruitment involve experimental design?
05What are the typical challenges of working with large-scale biosensor datasets in this Data Scientist IV role?
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