Data Scientist
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
We are Hiring for Data Scientist (biosensor) in NYC NY 100% Onsite
Title : Data Scientist
Location: Onsite in NYC NY
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.
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.
Education/Experience:
Master of Science or PhD degree in computer science statistics neuroscience biomedical engineering or other relevant field.
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.
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.
Education/Experience:
Master of Science or PhD degree in computer science statistics neuroscience biomedical engineering or other relevant field.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
