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The Team: S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/LLM senior scientist to grow into the next step in their career journey and apply their domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing an ML Data Science team.
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Master’s degree in fields such as outcomes research, epidemiology, statistics, biostatistics, data science, predictive analytics, econometrics or doctoral degree (PhD, DrPH, ScD) Develops and maintains strong internal networks across both NNI and relevant HQ functions such as Data Science, serving as a key contact point into the Clinical Data Science and Evidence (CDSE) Real World Evidence (RWE) team.
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Leads the execution of observational research studies through the hands-on analysis of real-world data and application of appropriate data science techniques under the minimal supervision of a group leader; studies support the aligned strategy (defined in the Evidence Generation Plan - EGP) spanning one therapeutic area.
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Architect the Unity Catalog to provide centralized access control, auditing, lineage, and data discovery capabilities across Databricks workspaces. Designed data warehouse and data lake solutions along with data processing Pipeline using PySpark using Databricks.
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Knowledge of DBT, Airflow, Ansible, Terraform, Argo, Helm, or other data pipeline systems; ideally experience building and maintaining a data warehouse and understanding of simple data science workflows and terminology.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Strong background in data science, commercial analytics, and/or real-world evidence. As Senior Scientist of Commercial Data Science, you will work with a multidisciplinary international team of world-class professionals in Commercial.
$190,625 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
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The Product Manager will work closely with global clinical, biometrics and data science stakeholders, including data scientists, software developers, project managers, and cross functional IT teams, to ensure successful strategy, planning, delivery, and operations of technology solutions to accelerate bringing effective therapies and drug to patients and long-term value to BMS.
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Bachelor or Masters of Science or Engineering in Environmental Science, Geology, Civil, Environmental, or Chemical Engineering, or other engineering or related earth science discipline.
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Master's Degree in Geology, Biology, Ecology, Environmental Science, Archeology, Anthropology or related field and 3 years of relevant experience. Bachelor's degree in Geology, Biology, Ecology, Environmental Science, Archeology, Anthropology or related field and 4 years relevant experience, or.
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Partners with broader Commercialization Data Science & AI Predictive Solutions organization to monitor the external, Commercialization Analytics landscape, identifying and applying new capabilities in support of continuous BIA evolution and business performance.
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For more than 20 years, its passionate, innovative and collaborative team has invented next-generation antibody technology platforms and leveraged translational research and data sciences, which has resulted in a proprietary pipeline including bispecific T-cell engagers, next-generation immune checkpoint modulators, effector function enhanced antibodies and antibody-drug conjugates.
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Broad in-depth knowledge of the Source to Contract process, ideally in functional operation as well as implementation and the associated sub-capabilities which include, ESG, Third Party Risk Management, Contracting, Sourcing, Data Science and Analytics.
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Knowledge of one or more of the following technologies: Data Science, Machine Learning, Natural Language Processing, Business Intelligence, and Data Visualization. Minimum of 3 years of experience in an analytics/data science environment.
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With an eye on the future and in response to national priorities, PPPL also has begun a strategic shift from a singular focus on fusion energy to a multi-focus approach that includes microelectronics, quantum information science, and sustainability science.
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data science jobs Company: Cbre in Plainsboro, NJ
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