2 дня назад
Data Scientist (AI/ML)
90 000 - 125 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (AI/ML): Building dashboards, data integrations, predictive risk models, and business intelligence solutions for federal-sector projects with an accent on machine learning, data normalization, and Power BI. Focus on extracting insights from unstructured documentation, connecting federal systems, and improving risk assessment methodologies.
Location: Washington, DC; on-site five days per week
Salary: $90,000–$125,000 per year
Company
provides Microsoft consulting services, cloud services, business intelligence, unified communications, and systems management for public-sector and commercial organizations.
What you will do
- Build, maintain, and improve dashboards, applications, and automations.
- Connect APIs and systems and perform ETL, data normalization, and visualization.
- Build predictive risk models using statistical analysis and machine learning.
- Apply AI/ML to extract insights from unstructured documentation.
- Create business intelligence analyses, management visualizations, user guides, and Power BI documentation.
- Research and recommend data storage and integration solutions while improving risk assessment tools and methodologies.
Requirements
- At least 5 years of professional experience.
- Strong proficiency with Power Platform, SharePoint, and InfoPath.
- Experience creating and managing Power BI reporting.
- Strong understanding of machine learning techniques and algorithms.
- Experience with data science and business intelligence tools such as R, Weka, NumPy, MATLAB, Anaconda, SPSS, and Power BI.
- Active Top Secret clearance, ability to work on site five days per week, and US citizenship required.
Nice to have
- Experience connecting to and manipulating data from federal systems.
Culture & Benefits
- Projects support public-sector and federal government operations.
- Final hiring decisions are made by humans, with AI tools assisting parts of the recruitment process.
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