

Crossing Hurdles
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist in New York, NY, offering $80-$110 per hour for a full-time engagement lasting over 6 months. Key skills include experience with hardware sensors, signal processing, large datasets, and proficiency in Python, R, or MATLAB. A Master’s or PhD in a relevant field is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
880
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🗓️ - Date
February 18, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Datasets #NumPy #ML (Machine Learning) #SQL (Structured Query Language) #Data Modeling #"ETL (Extract #Transform #Load)" #Matlab #R #Mathematics #Signal Processing #Statistics #Matplotlib #Data Science #Data Extraction #Programming #Data Analysis #SciPy #Computer Science #Visualization #Pandas #Libraries #Python
Role description
Position: Data Scientist IV
Type: Full-time position
Compensation: $80-$110 per hour
Location: New York, NY, USA
Commitment: Full time Engagement
Role Responsibilities
• Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
• Contribute to biosensor data analysis and guide future biosensing R&D
• Execute, debug, and optimize distributed compute workflows for metric computation, analysis, and modeling across large datasets
• Apply statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns and support prototype biosensor development and product improvement
• Design, develop, and evaluate predictive models and advanced algorithms for value extraction from biosensor data
• Generate and test hypotheses and interpret results of product experiments
• Collaborate with engineers to translate prototypes into products, services, and features and provide guidelines for large-scale implementation
• Use data visualization to support decision-making for future R&D directions
Requirements
• Experience with hardware sensors and analysis of real-world data
• Experience with signal processing for time-domain signals and/or medical imaging systems
• Experience presenting findings from statistical and machine learning methods to diverse audiences
• Experience working with large datasets
• Experience performing data extraction, manipulation, and visualization using programming languages such as Python, R, MATLAB, or SQL
• Proficiency in data structures and algorithms
• Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, caret
• Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, ggplot2
• Master of Science or PhD in computer science, statistics, neuroscience, biomedical engineering, or related field
Application Process (Takes 20 Mins)
• Upload resume
• Interview (15 min)
• Submit form
Position: Data Scientist IV
Type: Full-time position
Compensation: $80-$110 per hour
Location: New York, NY, USA
Commitment: Full time Engagement
Role Responsibilities
• Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
• Contribute to biosensor data analysis and guide future biosensing R&D
• Execute, debug, and optimize distributed compute workflows for metric computation, analysis, and modeling across large datasets
• Apply statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns and support prototype biosensor development and product improvement
• Design, develop, and evaluate predictive models and advanced algorithms for value extraction from biosensor data
• Generate and test hypotheses and interpret results of product experiments
• Collaborate with engineers to translate prototypes into products, services, and features and provide guidelines for large-scale implementation
• Use data visualization to support decision-making for future R&D directions
Requirements
• Experience with hardware sensors and analysis of real-world data
• Experience with signal processing for time-domain signals and/or medical imaging systems
• Experience presenting findings from statistical and machine learning methods to diverse audiences
• Experience working with large datasets
• Experience performing data extraction, manipulation, and visualization using programming languages such as Python, R, MATLAB, or SQL
• Proficiency in data structures and algorithms
• Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, caret
• Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, ggplot2
• Master of Science or PhD in computer science, statistics, neuroscience, biomedical engineering, or related field
Application Process (Takes 20 Mins)
• Upload resume
• Interview (15 min)
• Submit form






