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Data Scientist

  • ... Posted on: Dec 09, 2024
  • ... Telnet Inc
  • ... Fort Meade, Maryland
  • ... Salary: Not Available
  • ... Full-time

Data Scientist   

Job Title :

Data Scientist

Job Type :

Full-time

Job Location :

Fort Meade Maryland United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Data Scientist

Location: Fort Meade, MD (On site ) 5 days a week

Duration: Full time

Job Description:

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.

Required Degree and Experience:

Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) + 7 years of experience, Masters Degree + 5 years of experience, or PhD + 2 years of experience

Required Skills:

  • Programming experience with data analysis software such as R, Python, SAS, or MATLAB.
  • Develop experiments to collect data or models to simulate data when required data are unavailable.
  • Develop feature vectors for input into machine learning algorithms.
  • Identify the most appropriate algorithm for a given dataset and tune input and model parameters.
  • Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).
  • Oversee the development of individual analytic efforts and guide team in analytic development process.
  • Guide analytic development toward solutions that can scale to large datasets.
  • Partner with software engineers and cloud developers to develop production analytics.

Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation

Jobcon Logo Position Details

Posted:

Dec 09, 2024

Employment:

Full-time

Salary:

Not Available

Snaprecruit ID:

SD-CIE-dc599f7d2d3c5ab81c2d51ee6f2a19b5d3c6ac6a5989a8bac02fc84eca152174

City:

Fort Meade

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: Data Scientist

Location: Fort Meade, MD (On site ) 5 days a week

Duration: Full time

Job Description:

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.

Required Degree and Experience:

Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) + 7 years of experience, Masters Degree + 5 years of experience, or PhD + 2 years of experience

Required Skills:

  • Programming experience with data analysis software such as R, Python, SAS, or MATLAB.
  • Develop experiments to collect data or models to simulate data when required data are unavailable.
  • Develop feature vectors for input into machine learning algorithms.
  • Identify the most appropriate algorithm for a given dataset and tune input and model parameters.
  • Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).
  • Oversee the development of individual analytic efforts and guide team in analytic development process.
  • Guide analytic development toward solutions that can scale to large datasets.
  • Partner with software engineers and cloud developers to develop production analytics.

Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation

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