Data Scientist IV – Biosensor Analytics--Onsite – New York City, NY

itD Tech•New York, NY

2d•Onsite

About The Position

itD is seeking a Data Scientist IV to drive advanced biosensor data analysis and support the development of next-generation biosensing technologies. This role focuses on extracting insights from complex, high-dimensional datasets to inform research, prototype development, and product improvement. The ideal candidate brings strong expertise in statistical analysis, machine learning, signal processing, and scientific computing, with a proven ability to translate analytical findings into actionable R&D and product decisions.

Requirements

Hands-on experience working with hardware sensors and analyzing real-world biosensor or similar sensor-generated data.
Strong signal processing expertise, including experience with time-domain signals and/or medical imaging systems.
3+ years of experience performing data extraction, manipulation, modeling, and visualization using Python, R, MATLAB, or SQL.
Proficiency with scientific computing and analysis libraries such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, or caret.
Experience working with large, complex datasets and building scalable analytical workflows.
Ability to present findings from statistical and machine learning analyses to diverse technical and non-technical audiences.

Nice To Haves

Proficiency in data structures and algorithms.
Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, or ggplot2.
Experience developing or supporting predictive models for R&D or product-focused use cases.
Prior exposure to distributed computing or large-scale data processing environments.
Advanced degree in a quantitative or engineering discipline.

Responsibilities

Execute, debug, and optimize distributed compute workflows for metric computation, modeling, and analysis across large biosensor datasets.
Apply statistical analysis, machine learning, signal processing, and advanced mathematical techniques to identify patterns and opportunities in biosensor data.
Design, develop, and evaluate predictive models and advanced algorithms to support biosensor prototype development and product enhancement.
Generate and test hypotheses through structured experimentation, interpreting results to inform R&D direction.
Collaborate closely with product engineers to translate analytical prototypes into scalable products, services, and features.
Analyze and interpret real-world, time-domain sensor data to support decision-making across research and engineering teams.
Create clear data visualizations to communicate insights and guide future biosensing research and development efforts.
Attend regular internal practice community meetings.
Collaborate with your itD practice team on industry thought leadership.
Complete client case studies and learning material (blogs, media material).
Build out material to contribute to the Digital Transformation practice.
Attend internal itD networking events (in person and virtual).
Work with leadership on career fast-track opportunities.