Data Scientist / Machine Learning (TS SCI + Poly is Required)
About the role
Aperio Global brings together experts in cybersecurity, AI, data analytics, and cloud technologies to solve complex national security challenges. We focus on work where our expertise creates the greatest impact. As a Data Scientist, you will develop machine learning, data mining, statistical, and graph-based algorithms to analyze datasets, prototype algorithms, build models, and generate data-driven insights for customers. You will partner with subject matter experts to translate manual data analysis into automated analytics and implement prototype algorithms within production frameworks.
Responsibilities
- Produce data visualizations that provide insight into dataset structure and meaning.
- Collaborate with subject matter experts (SMEs) to identify important information in raw data and develop scripts to extract this information from various 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 processes and goals into quantitative formulations 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.
- Develop experiments to collect data or models to simulate data when required data are unavailable (Level 2).
- Develop feature vectors for input into machine learning algorithms (Level 2).
- Identify the most appropriate algorithm for a given dataset and tune input and model parameters (Level 2).
- Evaluate and validate the performance of analytics using standard techniques and metrics (e.g., cross-validation, ROC curves, confusion matrices) (Level 2).
- Evaluate individual analytic efforts and make recommendations in the analytic development process (Level 2).
- Recommend solutions that can scale to large datasets (Level 2).
- Collaborate with software engineers, cloud developers, and stakeholders to develop production analytics (Level 2).
- Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation (Level 2).
Requirements
This position requires all candidates to be U.S. Citizens and possess an active TS/SCI Security Clearance with a Polygraph.
- Bachelor’s degree in a relevant discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) from an accredited college or university, and four (4) years of experience analyzing datasets and developing analytics, plus two (2) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
- A Master’s degree in a relevant discipline may substitute for two (2) years of relevant experience analyzing datasets and one (1) year of programming experience.
- In lieu of a Bachelor’s degree, an additional four (4) years of relevant experience may substitute for a total of eight (8) years of relevant experience analyzing datasets and two (2) years of programming experience.
- For Level 2: A PhD in a relevant discipline may substitute for four (4) years of relevant experience, reducing the requirement to four (4) years of relevant experience analyzing datasets and one (1) year of programming experience.
Pay
Anticipated salary range:
- Level 1: $150,000 – $170,000
- Level 2: $170,000 – $190,000
The salary range represents Aperio’s good-faith estimate of compensation at the time of posting. Placement within the range is based on qualifications, relevant experience, education, certifications, technical skills, work location, market conditions, and business needs.
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA) with 100% employer match up to 6%
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Short Term & Long Term Disability
- Professional Development