3 дня назад
Staff Data Scientist (AI)
160 600 - 175 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Scientist (AI): Developing advanced statistical, machine learning, and AI models for large structured and unstructured datasets with an accent on predictive analytics, semantic layers, and natural language processing. Focus on building scalable NLP and LLM solutions, identifying fraud and risk patterns, and communicating analytical findings through dashboards and visualizations.
Location: Fully remote within the United States; U.S. citizenship required. Working hours are 9:00 AM to 5:00 PM Eastern Time. Occasional travel for training and project meetings is expected at less than 5% per year.
Salary: $160,600–$175,000 annually
Company
is a digital services company partnering with U.S. government agencies to build intuitive technology products and services.
What you will do
- Design, develop, test, and maintain statistical, machine learning, predictive, and AI models.
- Analyze large structured and unstructured datasets using Python, Pandas, and SQL.
- Develop semantic layer architectures, analytical indicators, risk models, and anomaly-detection approaches.
- Build and scale natural language processing solutions, including semantic analysis, OCR, and large language models.
- Translate investigative and business questions into analytical approaches and actionable findings.
- Create dashboards, visualizations, documentation, and presentations while collaborating with data engineers in cloud environments.
Requirements
- U.S. citizenship is required.
- Ability to obtain and maintain a Public Trust clearance.
- Master’s degree, Ph.D., or equivalent advanced degree in Data Science, Machine Learning, Computer Science, Mathematics, or a related field.
- 10+ years of applied experience in data science, machine learning, computer science, mathematics, or a related field.
- Hands-on experience with Python, Pandas, SQL, statistical modeling, machine learning, AI, semantic layer development, NLP, and modern cloud environments.
- Excellent written and spoken English; availability during Eastern Time business hours.
Nice to have
- Ph.D. in a related technical discipline.
- Experience with data architecture, fraud or program-integrity analytics, fraud indicators, risk scoring, or investigative leads.
- Experience with Microsoft Azure, Azure Machine Learning, Synapse Analytics, AI Foundry, or AI Search.
- Experience with OCR, semantic similarity, entity resolution, large unstructured datasets, LLMs, retrieval-augmented generation, or network visualizations.
- Cloud, AI, or machine learning certifications.
Culture & Benefits
- Remote work environment aligned with Eastern Time.
- Medical, dental, and vision coverage.
- 401(k) retirement benefits, paid time off, and paid holidays.
- Life and disability insurance.
- Wellness and employee support programs.
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