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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Desire proficiency in statistics, regression techniques, text mining, predictive modeling. Using statistics, text mining, topic modeling, predictive modeling to answer business questions and generate insights/outcomes that relate to solving business problems.
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Experience with data mining, descriptive analytics, defining KPIs, machine learning, statistical modeling and predictive modeling concepts. As a Sr. Data Scientist, you'll use your expertise in data analysis, statistical modeling, and machine learning to uncover insights that will directly influence product strategy and revenue growth.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Learning and applying data analytics techniques while utilizing problem solving skills to conduct quantitative and qualitative analyses using a diverse set of technology applications and tools (i.e. Excel, SQL, R, Python, Tableau, Alteryx, etc.
$48 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Define strategies and parameters for predictive models and data mining projects and ensuring data integrity and usability by using Support Vector Machines (Natural Language Processing), Neural Networks, and Distributed Computing.
$145,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Do you have a passion for invention and self-challenge? Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Has experience managing on-shore and off-shore teams and knows how to optimize operating models to ensure data entry, data operations, and data thought leadership is being performed by the right talent base with scale and speed.
$299,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Machine Learning and pattern recognition: predictive analytics and modeling, computational causal discovery, intelligent analytics systems and front ends. Big Data Informatics: clinical and research data warehouses and datamarts, data wrangling, visualization, analytics, ontologies, online digital data capture/mining/modeling, data exchanges and linkage, data security.
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5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem. Experience in assessing and implementing new data tools to enhance the machine learning stack.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Independently extract insights from data to design solutions within the Financial Crimes space through a range of data preparation, modeling, and visualization techniques, including predictive analysis, pattern recognition and/or Machine Learning.
$208,580 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) Use key skills include association rule learning, cluster analysis, anomaly detection, data analysis and visualization (e.g., PowerBI, Tableau), object-oriented programming (Python, SAS.
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Familiarity with other data mining/machine learning techniques are a plus. Set the strategic direction across several areas within modeling across the enterprise: New statistical model/scorecard development across Fraud, Marketing, Credit and potentially other areas of the business, Management of the existing suite of models, Collaboration with technology on a machine learning platform deployment, Lead the team in applying sophisticated machine learning methods to a wide variety of complex tasks, and Overall 1st line governance for model risk management.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
$228,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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As a key contributor to our Machine learning efforts across Snap, you will take ownership of technology development synergy and operations across a team of experienced and talented researchers and engineers.
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machine learning data mining predictive modeling python sql jobs Company: Hubstaff
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