10 days ago
Data Scientist IV
Keystone Recruitment
Hybrid
Full Time
$239,200
Hybrid
Job Overview
Job TitleData Scientist IV
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$239,200
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
Equal Opportunity Statement
We are an equal opportunity employer and consider all qualified applicants without regard to legally protected characteristics. Reasonable accommodations are available upon request.
Key skills/competency
- Biosensor Data Analysis
- Machine Learning
- Signal Processing
- Predictive Modeling
- Statistical Analysis
- Distributed Computing
- Python Programming
- SQL
- Data Visualization
- Experimental Design
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 roles: Highlight experience in biosensor data, machine learning, and signal processing.
- Showcase relevant projects: Prepare a portfolio demonstrating expertise in high-dimensional data and predictive modeling.
- Prepare for technical deep dives: Be ready to discuss statistical methods, ML algorithms, and signal processing techniques.
- Emphasize cross-functional collaboration: Provide examples of working with engineering and R&D teams, translating prototypes to solutions.
Frequently Asked Questions
Find answers to common questions about this job opportunity
01What specific biosensor data will a Data Scientist IV work with at Keystone Recruitment?
02What programming languages are essential for this Data Scientist IV role?
03How does Keystone Recruitment approach advanced data modeling in biosensing?
04What is the typical team structure for a Data Scientist IV at Keystone Recruitment?
05What kind of impact can a Data Scientist IV expect to make on product development at Keystone Recruitment?
06How important is signal processing expertise for the Data Scientist IV position at Keystone Recruitment?
07Does Keystone Recruitment support professional development for Data Scientists?
08What are the key technical challenges for a Data Scientist IV in this role at Keystone Recruitment?
09How are experimental results used to drive strategy at Keystone Recruitment?
10What data visualization tools does Keystone Recruitment utilize for insights?
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