Data Scientist (Annapolis Junction, MD)

Shield Consulting Solutions, Inc.; Maryland; On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

PTO 25 days

11 paid holidays

Employer-paid healthcare

401(k) employer match

Job summary

Shield Consulting Solutions, Inc. is seeking a data scientist with TS/SCI w/Polygraph clearance to develop machine learning, analytics, and data mining solutions.

The role involves prototyping algorithms, generating reports, and visualizations to provide customers with data-driven insights while coordinating with SMEs to automate analytics. The position emphasizes production integration, model development, and evaluation using standard metrics, with a strong focus on statistical and heuristic

Qualifications

• Five years of analytics and data analysis programming experience.
• Experience producing data visualizations to reveal dataset structure and insight.
• Collaboration with SMEs to extract information from raw data and build feature vectors.

Responsibilities

• Develop AI and machine learning models to address complex problems.
• Develop and optimize Large Language Models for NLP tasks and information retrieval.
• Oversee analytic development and guide the analytics team through the process.

Skills

Data analysis

Machine learning

Statistical modeling

Team guidance

Education

Bachelor's degree in quantitative discipline

PhD substituted for four years experience

Tools

R

Python

SAS

MATLAB

Job description

**Active TS/SCI w/Polygraph REQUIRED** Please do not apply if you do not currently possess this level of clearance.
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Telework: None
Qualifications:

• Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) and five (5) years of experience analyzing datasets and developing analytics as well as five (5) years of experience programming 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 PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience.
• 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
• Develop Al and machine learning models to address complex problems.
• Develop and optimize Large Language Models (LLM) for various NLP tasks and information retrieval
• Experience with utilizing GPU-based computing resources to accelerate model training and deployment.
• 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

Job Description:

• A data scientist 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.

Salary: $200,000 - $250,000 annually
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Excellent benefits package including 25 days PTO, 11 paid holidays, 100% employer-paid healthcare for employees and dependents – available day 1, 8% 401(k) employer match – immediate vesting.
Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure.
Shield Consulting Solutions is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

This is a full time position