Infinity Advanced Solutions is an SBA certified, Woman-owned, Small Business providing support to federal and private customers within the intelligence and defense industries. Infinity Advanced Solutions is committed to keeping up with the fast-paced, ever-evolving industry by staying competitive while concentrating on the needs of our customers.
We are seeking a Data Scientist - Skill Level 3 who will 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.
Qualifications
- Bachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).
- A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB.
- An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree.
- A Master’s Degree from an accredited college or university in a quantitative discipline can be substituted for two (2) years of experience for a total of eight (8) years of experience required.
- A Doctoral Degree from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience for a total of six (6) years of experience required.
- This position requires in-scope poly, within 7 years.
Required Skills
- Produce data visualizations that provide insight into dataset structure and meaning.
- Work 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.
- 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).
- Oversee the development of individual analytic efforts and guide team in analytic development process.
- Guide analytic development toward solutions that can scale to large datasets.
- Partner with software engineers and cloud developers to develop production analytics.
- Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.
- Lead a team of data scientists in the development of multiple analytic efforts.
- Work with customers and SMEs to define analytic requirements and guide the team in formulating analytics that meet requirements.
- Guide the transition of prototyped analytics to production system.
- Understand emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions.
- Delegate analysis responsibilities to one or more team members and monitor performance.
Security clearance TS/SCI w/ poly required.
Benefits:
- Health Insurance – Three-tiered Health Plan, 75% employer paid
- Health Savings Account (HSA) – Company-paid portion contribution
- Flexible Spending Accounts (FSA) – Annual pretax salary deferrals
- Dependent Care Flexible Spending Account (DCAP) – Annual pretax salary deferrals
- Retirement (401K) – 12% employer contribution, vested immediately
- Paid Time Off (PTO) – Approximately four weeks PTO
- 11 Paid Holidays
- Maternity – Six weeks off
- Paternity/Adoption Leave – Two weeks off
- Short-Term Disability (STD) – Company paid, effective immediately
- Long-Term Disability (LTD) – Company paid, effective immediately
- Life/AD&D Insurance (LI/AD&D) – Company paid, effective immediately
- Education and Training – $5000 annual coverage relevant for professional development
- Company Logo Apparel -- $150 company-paid
- Fitness Benefit -- $350.00 annual fitness program reimbursement
Pay Range is determined by various factors such as education, knowledge, skills, competencies, and experience, as well as contract-specific requirements; negotiable based on elected total compensation packages which include but not limited to paid time off, healthcare elections, and retirement. The projected compensation range for this position is $235,000.00 to $245,000.00
Infinity Advanced Solutions provides wage ranges in accordance with State Pay Transparency Laws to support Title VII Equal Pay initiatives. These pay ranges are subject to change at any time, and pay will be commensurate with experience and/or other factors allowable by law.
Infinity Advanced Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.