Data Scientist – Level 2

DESCRIPTION:

Ascendant Innovations Corp is looking for a Data Scientist (Level 2) 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. Additionally, the Data Scientist will incorporate SME input into feature vectors suitable for analytic development and testing as well as develop Al and machine learning models to address complex problems.

REQUIRED SKILLS:

• Minimum of five (5) years of experience analyzing datasets and developing analytics.
• Minimum of five (5) years of experience programming with data analysis software (e.g. R, Python, SAS, or MATLAB).
• Experience with AI and machine learning models.
• Experience with SQL tables, structured metadata and network logs
• Ability to evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices),
• Experience with utilizing GPU-based computing resources to accelerate model training and deployment.
• Experience developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
• Identify the most appropriate algorithm for a given dataset and tune input and model parameters.
• Develop feature vectors for input into machine learning algorithms.
• Develop statistical tests to make data-driven recommendations and decisions.
• Ability to develop and optimize Large Language Models (LLM) for various NLP tasks and information retrieval.

DESIRED SKILLS:

• Familiarity with Large Language Models (LLMs).
• Exposure to Retrieval-Augmented Generation (RAG) frameworks, agents, and agentic workflow.

QUALIFICATIONS:

• Master’s degree in a quantitative discipline (statistics, mathematics, computer science) or related discipline from an accredited college or university, plus eight (8) years of experience as a data scientist in programs and contracts of similar scope, type, and complexity. Additionally, must have five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.

OR

• Bachelor’s degree in a quantitative discipline (statistics, mathematics, computer science) or related discipline from an accredited college or university, plus ten (10) years of experience as a data scientist in programs and contracts of similar scope, type, and complexity. Additionally, must have five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.

OR

• Fifteen (15) years of experience as a data scientist in programs and contracts of similar scope, type, and complexity. Additionally, must have five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.

Clearance Requirements:
Must be a US Citizen with an active Top Secret/SCI w/polygraph.

Equal Opportunity Employer:
AIC offers equal employment opportunities without regard to race, color, gender, religion, age, nationality, social or ethnic origin, sexual orientation, gender identity or expression, marital status, pregnancy, disability, veteran status or any other characteristic protected by law.