Data Scientist

Amivero • Washington, DC

3d

About The Position

The Amivero Team Amivero’s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved. Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people. As a member of the Amivero team you will use your empathy for a customer’s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems. The Gist… We are looking for a Data Scientist with exceptional skill to develop complex data models in support of a federal client's workforce planning strategy. Requirements include developing an integrated predictive model using machine learning and deep learning models and algorithms that create useful and actionable insight for customers. The ideal candidate should be someone who is strong mathematically; can automate scoring using machine learning techniques, can develop complex data models and methodology, build recommendation systems, and select the correct data points for analysis from the large data sets. The ideal candidate must have strong experience using a variety of mathematical/statistical/data mining/data analysis methods and tools. You are focused on results, a self-starter, and have demonstrated success for using analytics to drive the understanding, growth, and success of the analysis.

Requirements

• US Citizenship Required to obtain Public Trust
• 3+ years of relevant experience
• BA/BS in Computer Science, Statistics, Applied Mathematics, Computational Linguistics, Artificial Intelligence or related field
• 3+ years of practical working experience in one or more of the following areas: Data Science, Data Analytics, and Dashboarding/Visualization
• 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 in order to explain and elaborate on technical details
• Experience in productization of machine learning algorithms and the ability to deliver data science components that are part of successful deliverables
• 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
• Readiness to collaborate with engineering teams, product teams, and customers to develop prototypes and software product

Nice To Haves

• Active DHS or CBP Public Trust clearance preferred
• Experinece with Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Knowledge Engineering
• Working knowledge of general machine learning algorithms and NLP, Graph Theory, and Network Analysis

Responsibilities

• 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 dashboards to present to leadership and draw insights from data models
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Interpret and communicate results to non-technical customers

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees