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Lead data science projects and partner with cross functional teams to deliver end-to-end advanced analytics/machine learning solution. + Proven Machine Learning experience and involvement in data science projects and product delivery.
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Understand and contribute to state-of-the-art methods in areas like query understanding, natural language processing and understanding (NLP/NLU), conversational recommendation, semantic retrieval, personalization, counterfactual experimentation, learning-to-rank, generative and explainable AI. Promote and role-model best practices of data science, engineering, and communication throughout the organization.
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We are seeking a highly motivated individual to join the team as a Consumer Sensory Scientist, conducting consumer research and overseeing the sensory expert panel. Sensory Scientist, Consumer products (OTCs.
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Being part of a talented team of Data Scientists with broad skills and applications, the Senior Data Scientist will work cross-functionally and collaboratively with teams across the enterprise through innovative machine learning, R&D, and cutting-edge platforms.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Has a strong learning mindset and passion for science. The primary role of the Medical Science Liaison (MSL) is to engage in meaningful peer-to-peer scientific dialogue with healthcare system leaders such as Regional Thought Leaders (RTLs), National Thought Leaders, and Healthcare Professional (HCPs) within a defined geography to translate science into patient care.
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5+ years of experience in machine learning engineering, data science, or a related field. Knowledge of machine learning algorithms, statistical modeling, and data structures.
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Working with Oracle Exadata, Golden Gate, RAC, ASM, Data guard and RMAN. Requires a Master’s degree in Applied Computer Science, Electronic Engineering, Mathematics, Physics, or related field and three years of work experience in the job offered or in a computer-related occupation.
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As part of the US Medical Affairs team, the Medical Science Liaison (MSL) will be responsible for engaging identified key opinion leaders (KOLs) from institutions and organizations within the assigned geographical territory through high level scientific support for research activities, publications, education, consulting, and other Medical Affairs initiatives.
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Ph. D. in Speech-Language Pathology or a field closely related to CSD (e.g., Audiology, Hearing Science, Speech Science). The CSD Program also shares a strong collaboration with the Dept. of Otolaryngology at Hershey Medical Center and the desired candidate will have a strong vision for how to best utilize this collaborative resource to its fullest.
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PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR.
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Expertise in integrating data pipeline from various systems like SAP, MES, Salesforce, Clickstream, Chatbot and External unstructured Data leveraging various ingestion patterns. Overall 10+ years of experience in building complex IT solutions more focused on data pipeline (Data Engineering, Data Warehousing, DataLake, DeltaLake, Bigdata, Data Streaming, unstructured data, and data modeling for BI/AI solutions.
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Contribute to qualitative and quantitative research projects through collaboration with data trends from cross-functional teams (Pharmacovigilance, Epidemiology, etc.) Maintain data integrity and traceability across the transformation lifecycle from the Source to Target.
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If pursuit of excellence is your calling then this role will provide a springboard in your career for (a) learning breadth and depth of wealth management domain (b) leveraging public cloud, API-first, domain driven design, and data mesh architecture and design principles towards delivering best-in-class technology products, and (c) unique experiences interacting directly with end investors and their advisors and getting the satisfaction of your work product being in the hands of customers.
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A Degree in Arboriculture, Urban Forestry, Horticulture, Plant Science, Plant Pathology, Environmental Sciences, Landscape Management, Turf-grass, or similar experience preferred. A Degree in Arboriculture, Urban Forestry, Horticulture, Plant Science, Plant Pathology, Environmental Sciences, Landscape Management, Turf-grass, or similar experience preferred.
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