Senior ML Data Scientist ( NLP)

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Company: Press Ganey

Job Description Press Ganey is looking to hire a self-motivated senior machine learning data scientist with NLP experience. The primary goal is to analyze linguistic data and build, evaluate, and deploy ML models. An ideal candidate for this job would have some experience with healthcare facilities (hospitals, inpatient settings, outpatient settings, emergency departments), but that is not required. The role requires a high capacity for autonomy and the ability to creatively apply NLP techniques to novel problems.

Duties & Responsibilities Build, test, and deploy learning models on language datasets, writing sophisticated data analysis and machine learning code in Python and seeing models through to production. Assist in the identification and implementation of NLP analysis expansions and prototype additional NLP pipelines and models for additional or anomalous data types. Provide NLP analysis and general analytic support to QA team and others involved with data review or communication of analysis. Manage large language data annotation projects for model development and evaluation. Work with stakeholders to define the scope of novel projects. Closely collaborate with other data scientists as well as engineers. Interpret and communicate analytic approaches and results to analytical and non-analytical business partners and executive decision-makers. Document work. Mentor junior teammates. Technical Skills Experience with ML (Scikit-learn) and deep learning frameworks (PyTorch or Tensor Flow) Familiarity and experience with neural networks and BERT-style language models. Information extraction evaluation (precision, recall, F1). Familiarity with word embedding algorithms and clustering methods, as well as more traditional statistical NLP approaches such as bag of words analyses and TF-IDF. Exposure and some experience with modern large language models, including the OpenAI family of models (ChatGPT, etc) or Med-PaLM. Experience with MLOps. Exposure to containerization and microservices. Familiarity with Databricks is a plus. Qualifications Minimum of 5 years Data Science experience in an enterprise environment Bachelors degree in technology or like field required

Hire an NLP developer
Ai and nlpBusiness applications

Hire an NLP developer

Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Why do I need to hire an NLP developer?

What is NLP?

What is NLP?

Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.

Hire an NLP data scientist
Ai and nlpBusiness applications

Hire an NLP data scientist

Hire an NLP data scientist and boost your business with AI As artificial intelligence transcends the realm of sci-fi and starts getting intricately woven into our everyday lives, the demand for specialized professionals to oversee its many dimensions has never been higher. If your company is looking to step into the future, now is the perfect time to hire an NLP data scientist! What is an NLP data scientist? Natural Language Processing (NLP), a subset of machine learning, focuses on the interaction between humans and computers via natural language.