Research Data Scientist | Remote
Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listed on 2026-02-18
New York, New York County, New York, 10261, USA
Listing for:
Crossing Hurdles
Full Time, Remote/Work from Home
position Listed on 2026-02-18
Job specializations:
-
IT/Tech
Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer
Job Description & How to Apply Below
Position: Data Scientist IV
Type: Full-time
Compensation: $80 – $110/hour
Location: New York, NY, USA (Onsite)
Commitment: Full-time
Role 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.
- 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 Num Py, Sci Py, Pandas, Scikit‑learn, dplyr, and caret.
- Experience with data visualization libraries including Matplotlib, Pyplot, seaborn, or ggplot
2. - Strong ability to present statistical and machine learning findings to both technical and non-technical audiences.
- Excellent analytical, problem‑solving, and collaboration skills.
- Upload resume
- Interview (15–30 min)
- Submit form
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