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.