Senior Data Scientist, Engineer

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Automation Anywhere

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Automation Anywhere is a leader in agentic process automation, providing solutions that streamline complex workflows across various industries. They offer a platform that integrates artificial intelligence and automation, allowing businesses to automate any process and improve efficiency. With features like AI agent creation, document automation, and centralized management, Automation Anywhere empowers businesses to reduce costs, improve productivity, and achieve higher accuracy in their operations.

📋 Description

• Build, evaluate, and deploy machine learning, deep learning, NLP, and LLM-based applications • Develop LLM-powered agents and agentic AI systems • Design prompt engineering strategies and LLM evaluation pipelines • Implement retrieval-augmented generation (RAG) systems using vector databases and knowledge sources • Design and maintain scalable, reliable data pipelines and datasets • Perform data preprocessing, feature engineering, and model experimentation • Deploy AI/ML services via APIs, microservices, and cloud infrastructure • Monitor model performance and continuously improve system reliability and scalability • Collaborate cross-functionally to translate customer needs into technical solutions • Identify risks, manage customer pain points, and drive continuous improvement initiatives

🎯 Requirements

• Master’s degree in Artificial Intelligence, Computer Science, Data Science, or related field • Minimum 3-years experience in relevant fields • Strong programming skills in Python, Java, SQL and data processing • Experience working with structured and unstructured data • Knowledge of machine learning, deep learning, NLP, and LLM systems • Deep knowledge of MCP and A2A protocols • Experience with model training, evaluation, and experimentation • Familiarity with prompt engineering, agent-based architectures, and retrieval systems • Experience with APIs, distributed systems, and cloud platforms • Ability to apply data science and AI techniques to real-world business problems • Candidates should generally be authorized to work in the United States without the need for current or future sponsorship

🏖️ Benefits

• Flexible work schedule / remote roles • Unlimited Personal Time Off • 12 holidays off per year • 4 days volunteer time off per year • Variety of health care and well-being benefits • Paid family/parental leave