drjobs Data Scientist Level 1

Data Scientist Level 1

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1 Vacancy
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Job Location drjobs

Maryland, MD - USA

Monthly Salary drjobs

$ $ 187000 - 192000

Vacancy

1 Vacancy

Job Description

Job Description:
A data scientist will develop machine learning data mining statistical and graphbased 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 datadriven 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.

Responsibilities:
  • Produce data visualizations that provide insight into dataset structure and meaning.
  • Collaborate with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g. SQL tables structured metadata network logs).
  • Incorporate SME input into feature vectors suitable for analytic development and testing.
  • Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
  • Develop and implement statistical machine learning and heuristic techniques to create descriptive predictive and prescriptive analytics.
  • Develop statistical tests to make datadriven recommendations and decisions.

Requirements

Required Education & Years of Experience:
  • Requires a Bachelors degree in a relevant discipline (e.g. statistics mathematics operations research and engineering or computer science) from an accredited college or university and four 4 years of experience analyzing datasets and developing analytics and two 2 year of experience programming with data analysis software such as R Python SAS or MATLAB.
  • A Masters degree in relevant discipline may be substituted for two 2 years of relevant experience analyzing datasets and developing analytics and one 1 year of relevant experience programming with data analysis software such as R Python SAS or MATLAB.
  • In lieu of a Bachelor s Degree an additional four 4 years of relevant experience may be substituted for a total of eight 8 years of relevant experience analyzing datasets and developing analytics and two 2 years of experience programming with data analysis software such as R Python SAS or MATLAB.

Required Education & Years of Experience: Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, and engineering or computer science) from an accredited college or university, and four 4 years of experience analyzing datasets and developing analytics and two 2 year of experience programming with data analysis software such as R, Python, SAS, or MATLAB. A Master's degree in relevant discipline may be substituted for two 2 years of relevant experience analyzing datasets and developing analytics, and one 1 year of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB. In lieu of a Bachelor s Degree, an additional four 4 years of relevant experience may be substituted for a total of eight 8 years of relevant experience analyzing datasets and developing analytics, and two 2 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.

Education

Salary Range= $154,000 to $159,000 with Benefits: 1. Holiday Benefit 10 holidays per year 2. Vacation Benefit 10 vacation days per year, Accrued on a weekly basis. 3. Sick Leave Benefit 5 Personal/Sick Leaves per year. Accrued on a weekly basis. 4. Medical Insurance Reimbursement Benefit Medical Insurance Allowance (QSEHRA).Reimbursement (Eligibility date dependent on enrollment. Employee purchase own plan) 5. AFLAC Supplemental Insurance Plan AFLAC Supplemental Insurance Plan.

Employment Type

Full Time

Company Industry

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