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Viewed by others in Internal Audit and Compliance Integrity Services as an in-house expert in data mining, analysis, and visualization. Develops and maintains a high level of skill in data analytics and visualization technologies applicable to Sharp HealthCare, such as, Alteryx, Tableau, Google Looker, SQL.Acts as an in-house consultant to Internal Audit and Compliance Integrity Services teams and is responsible for providing an analysis of potential solutions to audit automation needs.
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Statistics, machine learning , data mining, data auditing, aggregation, reconciliation, and visualization. Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Experience working with financial data sets like Factset and Bloomberg a plus.
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Understanding of quantitative techniques and methods, statistics and econometrics - including probability, linear regression and time series data analysis and optimizations. We are looking for a Senior Quantitative Developer that will be a part of a dynamic and fast-paced development team within Quantitative Research and Investment Technology supporting Fidelity Asset Management Solutions (FAMS) researchers and analysts.
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Demonstrates advanced functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau.
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Description Manager Visualization, Data Engineering to oversee and enhance our data visualization infrastructure and ensure the highest standards of data integrity.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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To join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Candidate must possess a bachelor's degree in Mathematics, statistics, computer science, data science or field directly related to this position and 5+ years of overall experience in the field of data science; 3+ of those years should be with hands-on experience in data exploration, data cleaning, data analysis, data visualization and data mining.
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Strong experience in data engineering, including data pipeline development, ETL/ELT processes, and data modeling. Proactively identify opportunities to improve data engineering practices and contribute to the evolution of data infrastructure.
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Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Use a variety of data mining/data analysis methods and data tools to build and implement models, using/creating algorithms and creating/running simulations.
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You will be someone who combines top notch analytical skills, data visualization, and technical product management to accelerate our data-driven decisions. Collaborate with Data Engineering & Business Intelligence to ensure mobile priorities are implemented correctly; work with engineering to get analytical technical needs integrated in clients.
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Helping to provide industry insight and analytical support using data mining, pattern matching, data visualization, and predictive modeling, leveraging Python; Performing data analysis, including inspecting, cleansing, transforming and modeling for enabling data mining, using SciPy, scikit-learn, pandas, TensorFlow, Region-based Convolutional Neural Networks (R-CNN), OpenCV, Bidirectional Encoder Representations from Transformers (BERT), and Natural Language Toolkit (NLTK); and.
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data mining engineering visualization jobs Title: data analyst Company: Compass Group Usa
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