Data Scientist IV (Hardware Sensors, biosensor data analysis)

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

Role: Data Scientist IV (Hardware Sensors biosensor data analysis)

Location: NYC (onsite)

Summary:

The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The Data Scientist will contribute to biosensor data analysis and help to guide future biosensing R&D.

Job Responsibilities:

Execute debug and optimize distributed compute workflows for metric computation analysis and modeling across large datasets.

Apply knowledge of statistics machine learning programming data modeling simulation and advanced mathematics to recognize patterns identify opportunities and make valuable discoveries leading to prototype biosensor development and product improvement.

Use a flexible analytical approach to design develop and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the biosensor data.

Generate and test hypotheses and analyze and interpret the results of product experiments.

Work with product engineers to translate prototypes into new products services and features and provide guidelines for large-scale implementation.

Leverage data visualization to help the team make decisions about future R&D directions to go.

Must have Skills:

Experience with hardware sensors and data analysis pertaining to real-world data.
Experience with signal processing pertaining to 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.
3 years of experience performing data extraction manipulation and visualization using programming languages (e.g. Python) scientific computing languages (e.g. 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.

Nice to have Skills:

Experience presenting findings from statistical and machine learning methods to diverse audiences.
Proficiency in data structures and algorithms.
Experience with data visualization libraries (Matplotlib Pyplot seaborn ggplot2).
Experience working with large datasets.
Familiarity with scientific computing and analysis packages (dplyr caret).
Advanced degree (Masters or PhD) in computer science statistics neuroscience biomedical engineering or related field.

Education/Experience:

Master of Science or PhD degree in computer science statistics neuroscience biomedical engineering or other relevant field.

Role: Data Scientist IV (Hardware Sensors biosensor data analysis) Location: NYC (onsite) Summary: The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The Data Scientist will contribute to biosenso...