Data Scientist IV-68102-1

NYC, NY, US • Posted 30+ days ago • Updated 9 hours ago
Full Time
On-site
USD $75.00 - 80.00 per hour
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Debugging
  • Workflow
  • Modeling
  • Data Modeling
  • Mathematics
  • Product Optimization
  • Analytical Skill
  • Extraction
  • Prototyping
  • Research and Development
  • Computer Hardware
  • Sensors
  • Data Analysis
  • Signal Processing
  • Medical Imaging
  • Presentations
  • Machine Learning (ML)
  • Data Extraction
  • Visualization
  • Programming Languages
  • Python
  • R
  • MATLAB
  • SQL
  • Data Structure
  • Algorithms
  • Computational Science
  • NumPy
  • Pandas
  • scikit-learn
  • Data Visualization
  • matplotlib
  • Science
  • Computer Science
  • Statistics
  • Neuroscience
  • Biomedical Engineering

Summary

Job Description

Data Scientist IV
Onsite in NYC

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: wesca004
  • Position Id: JOB-5940
  • Posted 30+ days ago
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