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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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As a member of our Machine Learning Research team, you will design new approaches to derive insights from Pfizer's proprietary data and external datasets to generate testable hypotheses across the drug discovery continuum with a focus on extracting biological knowledge.
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If you are a self-motivated data scientist with a passion for bioinformatics and machine learning, and you're ready to take on new challenges, we want to hear from you! Responsibilities: Maintain and develop in-house endpoint association and modeling/prediction pipeline that use cutting edge machine learning methodologies to develop biomarkers of clinical response and resistance, extend analytical capabilities of biomarker platform Define and implement Bioinformatics strategy and protocol-driven configuration layers of biomarker platform for Company studies Perform pan-study analysis to find biomarkers that are predictive of safety and efficacy endpoints.
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Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep. Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Apply machine learning and AI techniques to analyze HR data and develop predictive models for workforce planning, succession planning, and talent acquisition. ·Conduct advanced statistical analyses and predictive modeling to identify patterns, trends, and correlations in HR data related to employee engagement, retention, performance, diversity, and other key areas.
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Methods vary widely but include applied mathematics, deep learning, machine learning, probability modeling, Bayesian reasoning, quantum computing, spatial statistics, spatio-temporal modeling, decision support, and data mining.
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Use existing machine learning algorithms and developing custom ones tailored specifically to Lincoln Electric interested areas such as robotic welding, predictive maintenance, interactive learning, etc.
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Experience in statistical detection of potential healthcare fraud and abuse, using tools, such as predictive modeling, development of mathematical models, neural networks, healthcare data analytics, and data mining.
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The HR People Analytics Partner will apply and integrate advanced and predictive analysis, people metrics and reporting to develop strategic and operational insights for workforce decision-making (e.g., staffing, learning and development, talent management, diversity, and human resource compliance.
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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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Machine Learning Techniques : In-depth understanding of various machine learning techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Job Introduction:The Technology Data Science & Data Governance team is looking for a highly motivated Data Scientist to join at an exciting time as we embark on developing AI/ Machine Learning tools to support Technology Enablement portfolios, employee digital experience and productivity across all Lines of Business.
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machine learning data mining predictive analytics jobs Title: scientist Company: Exelon Corporation
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