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Urgent! NLP Data Scientist Job Opening In Minneapolis – Now Hiring eTeam
Role - NLP Data Scientist
Location - Minneapolis, MN(Remote)
Job Details:
We are looking for a talented NLP Data Scientist proficient in hybrid NLP methods, deep learning, machine learning, and large language models.
The candidate will join an established team of experts to employ traditional and advanced NLP techniques in analyzing medical charts.
This role is critical in extracting and interpreting complex medical data for actionable insights.
Key Responsibilities:
• Develop innovative NLP solutions using knowledge bases, symbolic AI, and large language models for medical chart analysis.
• Work collaboratively with data scientists, ML engineers, data engineers, and software developers to integrate NLP systems into our production environment.
• Stay updated with the latest advancements in NLP, especially large language models, to enhance our data processing capabilities.
• Utilize tools like Python, PyTorch, and Transformers for model development and optimization.
• Analyze extensive data sets to extract key medical insights, contributing to the efficiency of insurance processes.
• Ensure compliance with data privacy standards and healthcare regulations.
Qualifications: • Master’s in Computer Science, Data Science, Computational Linguistics, or a related field.
At least years of experience.
• Proven experience in NLP, especially with hybrid methods involving knowledge bases, symbolic AI, and large language models.
• Experience in Python, PyTorch, Transformers, and other relevant deep learning technologies.
• Familiarity with medical terminologies and proficiency in information extraction from medical charts.
• Excellent analytical, problem-solving, and teamwork skills.
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Unlock Your NLP Data Potential: Insight & Career Growth Guide
Real-time NLP Data Jobs Trends in Minneapolis, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for NLP Data in Minneapolis, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 45166 jobs in United States and 210 jobs in Minneapolis. This comprehensive analysis highlights market share and opportunities for professionals in NLP Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! eTeam is currently hiring and seeking a NLP Data Scientist to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: NLP Data Scientist Jobs Minneapolis.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at eTeam adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a NLP Data Scientist Jobs United States varies, but the pay scale is rated "Standard" in Minneapolis. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for NLP Data Scientist typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your NLP Data Scientist interview at eTeam, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the eTeam's products or services and be prepared to discuss how you can contribute to their success.
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