Tech Stack
JavaScriptPythonSQL
About the role
- Perform knowledge elicitation from customer subject matter experts and convert that to derived algorithms
- Analyze large data sets to identify actionable insights with mathematical statistical rigor
- Rigorously critique and correct intermediate results to improve the algorithmic outcomes
- Design and deploy deep learning algorithms and predictive models
- Develop custom data models and algorithms to apply to data sets
- Assess the effectiveness and accuracy of new data sources and data gathering techniques
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Interpret and communicate results to non-technical customers
Requirements
- US Citizenship Required to obtain Public Trust
- Active DHS or CBP Public Trust clearance preferred
- 3+ years of relevant experience
- BA/BS in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field
- Experience using a variety of mathematical, statistical, data mining, and data analysis methods/tools
- Interpersonal skills and the ability to communicate effectively with various clients
- Experience in productization of machine learning algorithms
- Working knowledge of general machine learning algorithms and NLP, Graph Theory, and Network Analysis
- Fluency in one or more programming languages (e.g., Python, JavaScript, R, etc.)
- Experience with statistical data analysis, experimental design, and hypotheses validation
- Experience with database querying like SQL
- Health insurance
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
deep learning algorithmspredictive modelsdata modelsmathematical methodsstatistical methodsdata miningdata analysismachine learning algorithmsNLPSQL
Soft skills
interpersonal skillseffective communication
Certifications
DHS Public Trust clearanceCBP Public Trust clearance