Data Scientist
We have Multiple openings for Data Scientists with the below skill set.
Work with data science techniques and libraries to show data's applicability to business problems.
Perform exploratory data analysis to define analytical models.
Develop advanced quantitative models using a variety of programs/software to support predictive assessments.
Provide expertise for analytical, programmatic, strategic, and operational analysis. Explain analytics model behavior/results in the vernacular of business.
Perform technical risk analysis and reliability assessments.
Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models and techniques.
Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques.
Provide recommendations for plans, programs, strategies, policies and budgets.
Design algorithms that require a number of different models/methods to be used in an ensemble.
Deploy models into production. Come up with a set of optimal hyperparameters for a learning algorithm to improve model efficacy incrementally.
40 hours/week.
Must have Master's degree or equivalent in Computer Science, Electr Engineering, Data Science, or a related field. Must have 1 year experience (or 1 year experience as Software Developer, Software Engineer, or related occupation).
Must be willing to travel to unanticipated client site locations throughout the US for extended periods of time.
Mail resume with ID#194 to: HR, Rad Cube, LLC, 1119 Keystone Way, Suite 302, Carmel, IN 46032.
Work with data science techniques and libraries to show data's applicability to business problems.
Perform exploratory data analysis to define analytical models.
Develop advanced quantitative models using a variety of programs/software to support predictive assessments.
Provide expertise for analytical, programmatic, strategic, and operational analysis. Explain analytics model behavior/results in the vernacular of business.
Perform technical risk analysis and reliability assessments.
Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models and techniques.
Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques.
Provide recommendations for plans, programs, strategies, policies and budgets.
Design algorithms that require a number of different models/methods to be used in an ensemble.
Deploy models into production. Come up with a set of optimal hyperparameters for a learning algorithm to improve model efficacy incrementally.
40 hours/week.
Must have Master's degree or equivalent in Computer Science, Electr Engineering, Data Science, or a related field. Must have 1 year experience (or 1 year experience as Software Developer, Software Engineer, or related occupation).
Must be willing to travel to unanticipated client site locations throughout the US for extended periods of time.
Mail resume with ID#194 to: HR, Rad Cube, LLC, 1119 Keystone Way, Suite 302, Carmel, IN 46032.
