Data Scientist IV

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

We are excited to announce an opportunity for a highly skilled Data Scientist to join our innovative this pivotal role youll harness your expertise to unlock insights from complex high-dimensional datasets through advanced exploratory data analysis. Your work will directly impact the future of biosensor technology guiding research and development efforts in cutting-edge biosensing solutions. If youre passionate about transforming data into breakthrough innovations we want to hear from you.

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.

Skills:

Experience with hardware sensors and data analysis of real-world data.
Experience with signal processing of 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 and caret.
Experience with data visualization libraries such as Matplotlib Pyplot seaborn and ggplot2.

Education/Experience:

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

Benefits:

401(k).
Dental Insurance.
Health insurance.
Vision insurance.
We are an equal-opportunity employer and value diversity equality inclusion and respect for people.
The salary will be determined based on several factors including but not limited to location relevant education qualifications experience technical skills and business needs.

Additional Responsibilities:

Participate in OP monthly team meetings and participate in team-building efforts.
Contribute to OP technical discussions peer reviews etc.
Contribute content and collaborate via the OP-Wiki/Knowledge Base.
Provide status reports to OP Account Management as requested.

About us:
At OP we help you harness the power of technology for maximum impact. A technology consulting and solutions company we offer advisory and managed services innovative platforms and staffing solutions across a wide range of fields including AI cyber security enterprise architecture and beyond. For nearly two decades weve been challenging the status quo of the consulting industry serving up fresh ingenious thinking through a radically lean structure. Together this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.

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.

Skills:

Experience with hardware sensors and data analysis of real-world data.
Experience with signal processing of 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 and caret.
Experience with data visualization libraries such as Matplotlib Pyplot seaborn and ggplot2.

Education/Experience:

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

Benefits:

401(k).
Dental Insurance.
Health insurance.
Vision insurance.
We are an equal-opportunity employer and value diversity equality inclusion and respect for people.
The salary will be determined based on several factors including but not limited to location relevant education qualifications experience technical skills and business needs.

Additional Responsibilities:

Participate in OP monthly team meetings and participate in team-building efforts.
Contribute to OP technical discussions peer reviews etc.
Contribute content and collaborate via the OP-Wiki/Knowledge Base.
Provide status reports to OP Account Management as requested.