3 Rnn Models Jobs

The U.S. Pharmacopeial Convention (USP) is an independent scientific organization collaborating with top health and science authorities to develop quality standards for medicines, dietary supplements, and food ingredients. With a core value of Passion for Quality, over 1,300 professionals across twenty global locations work towards strengthening the supply of safe, quality medicines worldwide. USP values inclusivity and fosters a culture of mentorship and professional growth. The organization emphasizes Diversity, Equity, Inclusion, and Belonging in all aspects to build a world where quality healthcare is accessible to everyone. As part of the Digital & Innovation group at USP, we are seeking a Data Scientist proficient in advanced analytics, machine learning, and data visualization. The role involves working on projects that drive innovations and deliver digital solutions, aiming to create a unified experience within our ecosystem. Your impact at USP involves contributing to the public health mission, increasing access to high-quality medicine, and improving global health through public standards and programs. Additionally, investment in the professional development of all people managers ensures engaged and productive work environments. Key Responsibilities: - Conduct exploratory data analysis to identify anomalies, understand patterns, and test hypotheses. - Utilize machine learning techniques for classification and regression tasks to address business needs. - Apply natural language processing techniques to extract information and enhance business workflows. - Interpret and communicate results clearly to diverse audiences. - Collaborate with data scientists, data engineers, and the IT team to ensure project success. Qualifications: - Bachelor's degree in a relevant field or equivalent experience. - 5-7 years of experience for Senior Data Scientist, 8-10 years for Lead Data Scientist. - Proficiency in Python, SQL, and visualization packages. - Experience with CNN/RNN models, data extraction, and scraping. - Additional preferences include a master's degree, experience in life sciences or chemistry, and proficiency in GenAI concepts. Benefits at USP include comprehensive healthcare options, retirement savings, and company-paid time off. USP does not accept unsolicited resumes from third-party recruitment agencies. Job Category: Information Technology Job Type: Full-Time,

The Digital & Innovation group at USP is looking for a Data Scientist with expertise in advanced analytics, including predictive modeling, machine learning, and natural language processing, as well as data visualization. As a Data Scientist at USP, you will be involved in projects that drive innovations and deliver digital solutions, contributing to USP's public health mission of increasing access to high-quality, safe medicine and improving global health through public standards and related programs. Your role will involve utilizing exploratory data analysis to identify anomalies, patterns, and test hypotheses, applying machine learning techniques for classification and regression tasks, using natural language processing to extract information and enhance business workflows, and effectively communicating results to diverse audiences. The ideal candidate for this role will have a Bachelor's degree in a relevant field or equivalent experience, along with 5-7 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing for a Senior Data Scientist position, or 8-10 years for a Lead Data Scientist position. Technical proficiency in Python and related packages, as well as SQL, is required, along with experience in CNN/RNN models, data extraction, and scraping. Additional desired preferences include a Master's degree, experience in scientific chemistry or life sciences, proficiency in GenAI concepts with graph data, and the ability to translate stakeholder needs into technical project outputs. USP offers a comprehensive benefits package to ensure the personal and financial well-being of its employees and their families. If you are a self-directed individual with strong communication skills, the ability to handle multiple projects simultaneously, and make tough decisions when necessary, this role at USP may be the perfect fit for you.,

The U.S. Pharmacopeial Convention (USP) is an independent scientific organization collaborating with top health and science authorities to develop quality standards for medicines, dietary supplements, and food ingredients. With over 1,300 professionals across twenty global locations, USP's core value of Passion for Quality drives its mission to strengthen the supply of safe, quality medicines and supplements worldwide. USP values inclusivity and fosters opportunities for mentorship and professional growth. Emphasizing Diversity, Equity, Inclusion, and Belonging, USP aims to build a world where quality in health and healthcare is assured. The Digital & Innovation group at USP is seeking a Data Scientist proficient in advanced analytics, data visualization, and machine learning to work on innovative projects and deliver digital solutions. The ideal candidate will leverage data insights to create a unified experience across USP's ecosystem. In this role, you will contribute to USP's public health mission by increasing access to high-quality, safe medicine and improving global health through public standards and programs. Collaborate with data scientists, engineers, and IT teams to ensure project success, apply ML techniques for business impact, and communicate results effectively to diverse audiences. **Requirements:** **Education:** Bachelor's degree in relevant field (e.g., Engineering, Analytics, Data Science, Computer Science, Statistics) or equivalent experience. **Experience:** - Data Scientist: 3-6 years hands-on experience in data science, machine learning, statistics, and natural language processing. - Senior Data Scientist: 6-10 years hands-on experience in data science and advanced analytics. - Proficiency in Python packages and visualization tools, SQL, and CNN/RNN models. - Experience with data extraction, XML documents, and DOM model. **Additional Preferences:** - Master's degree in relevant fields. - Experience in scientific chemistry or life sciences. - Familiarity with pharmaceutical datasets and nomenclature. - Ability to translate stakeholder needs into technical outputs. - Strong communication skills and ability to explain technical issues to non-technical audiences. **Supervisory Responsibilities:** Non-supervisory position **Benefits:** USP offers comprehensive benefits for personal and financial well-being, including healthcare options and retirement savings. USP does not accept unsolicited resumes from third-party recruitment agencies. Job Type: Full-Time.,