Senior Data Scientist

SparkCognition Government Systems (SGS) is the first full-spectrum artificial intelligence (AI) company devoted entirely to the government and national defense mission. By developing and operationalizing next-generation AI-powered solutions, SGS enables government organizations to meet the needs of their most pressing national security missions. Using technologies built in the United States, SGS advances government operations by analyzing complex data to inform and accelerate intelligent decisions, applying predictive and prescriptive analytics to improve logistics and readiness, deploying autonomy technology for unmanned systems, using natural language processing for large scale processing of unstructured data, and more.

SGS is looking for an experienced and innovative Sr Data Scientist to join our team to help create the next generation of artificial intelligence solutions that will help our customers make well-informed decisions and support critical missions. At SGS, you will immerse yourself in cutting-edge research and work with the latest technologies to deliver value in the Industrial IoT and Defense spaces.

Responsibilities:

• Building models to solve specific problems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Feature engineering using various techniques for the enhancement of data
• Performing feature selection on original and generated data
• Using machine learning tools to develop and train models
• Performing efficacy testing of the models
• Building automated tools that enable the data scientist to more effectively perform tasks such as data cleaning, feature generation, feature selection, or model building
• Performing ad-hoc analysis and presenting results in a clear manner
• Working with a team to help solve new, never-before-solved challenges across multiple industries
• Presenting concepts and findings to non-technical audiences, such as company leadership or our customers

Required Qualifications:

• US Citizenship Required
• Understanding and experience using machine learning techniques and algorithms, including but not limited to: transformers, clustering, tree-based methods, neural networks, anomaly detection and more
• Hands-on experience with data wrangling, feature engineering, model building, evaluation, and visualization.
• Fluency in Python programming and related machine learning tools (such as NumPy, Pandas, scikit-learn, NLTK, and SpaCy), deep learning frameworks (such as PyTorch), and SQL-like query languages
• Good applied statistics skills, such as distributions, statistical testing, etc.
• Experience with both graph and vector databases. ArangoDB and Elastic or similar
• Experience executing behavior modeling on timeseries or serial datasets
• Graduate degree (or equivalent industry experience), in Computer Science, Statistics, Physics, Mathematics, Neuroscience, Linguistics, Electrical Engineering, Economics, or a related scientific discipline

Preferred Qualifications:

• 5+ years’ experience with AI/ML solutions
• Experience working on supply chain related use cases to help support SGS’s readiness campaigns.
• TS/SCI security clearance

Clearance: 

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

SparkCognition Government Systems (SGS), Inc., is an equal opportunity employer, dedicated to diversity, equality, and inclusion, and provides equal employment opportunities to all employees and applicants for employment.  SGS prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)