Data Scientist at Amivero

, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

0.0

Posted On

02 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Deep Learning, Data Analysis, Natural Language Processing, Statistical Analysis, Data Mining, Algorithm Development, Python, SQL, Interpersonal Skills, Experimental Design, Knowledge Engineering, Graph Theory, Network Analysis, Productization, Agile Methodologies

Industry

IT Services and IT Consulting

Description

Description 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. Special Requirements US Citizenship Required to obtain Public Trust Active DHS or CBP Public Trust clearance preferred 3+ years of relevant experience Must be able to commute to Reston, VA 1-2x per week The Gist… We are looking for a Data Scientist with exceptional skill to develop 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. What Your Day Might Include… 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 You’ll Bring These Qualifications… Active DHS or CBP Public Trust clearance preferred 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: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering 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 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 Readiness to collaborate with engineering teams, product teams, and customers to develop prototypes and software products Scaled Agile Framework (SAFe) experience EOE/M/F/VET/DISABLED All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

Responsibilities

As a Data Scientist, you will develop machine learning and deep learning models to provide actionable insights for customers. You will analyze large datasets, design algorithms, and communicate results to non-technical stakeholders.