Data Scientist
Apply NowCompany: Aperio Global
Location: Fort George G Meade, MD 20755
Description:
Aperio Global is seeking a Data Scientist to 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.
Responsibilities:
Level 1
Level 2
Security Clearance Requirements:
This position requires all candidates to be U.S. Citizens and possess an active TS/SCI Security Clearance with a Polygraph.
Qualifications:
Anticipated Salary Range
Benefits
At Aperio Global, we understand the value of investing in our most important asset-our employees. That's why we have crafted a comprehensive benefits package designed to help you make the best decision for yourself, your family and your lifestyle. For additional details, contact our talent acquisition team.
Aperio Global is committed to providing equal employment opportunities (EEO) to all employees and applicants. Employment decisions are made without discrimination or harassment, in accordance with applicable federal, state, and local laws. We adhere to all legal requirements prohibiting discrimination based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by law.
Responsibilities:
Level 1
- 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 data-driven recommendations and decisions
Level 2
- 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).
- Evaluate individual analytic efforts and make recommendations in the analytic development process.
- Recommend solutions that can scale to large datasets.
- Collaborate with software engineers, cloud developers, and appropriate stakeholders to develop production analytics.
- Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation
Security Clearance Requirements:
This position requires all candidates to be U.S. Citizens and possess an active TS/SCI Security Clearance with a Polygraph.
Qualifications:
- 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 anddeveloping 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.
- Level 2: A PhD in relevant discipline may be substituted for four (4) years relevant experience reducing the requirement to four (4) years of relevant experience analyzing datasets and developing analytics, and one (1) year of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
Anticipated Salary Range
- Level 1: $140K - 155K annually
- Level 2: $160K - 1755K annually
Benefits
At Aperio Global, we understand the value of investing in our most important asset-our employees. That's why we have crafted a comprehensive benefits package designed to help you make the best decision for yourself, your family and your lifestyle. For additional details, contact our talent acquisition team.
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Short Term & Long Term Disability
- (and much more)
Aperio Global is committed to providing equal employment opportunities (EEO) to all employees and applicants. Employment decisions are made without discrimination or harassment, in accordance with applicable federal, state, and local laws. We adhere to all legal requirements prohibiting discrimination based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by law.