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Drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, bigdata systems, information and data visualization, social & cognitive science.
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Our data scientists work closely everyday with project managers, subject matter experts and software engineers to work on challenges in machine intelligence, data mining, and machine learning, and work together with agility to build capabilities that impress our customers.
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The Research Associate Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine -learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
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Key Responsibilities: Lead the engineering team in designing, developing, and deploying solutions applying modern web frameworks, machine learning solutions, data engineering technologies, microservices, and cloud-native architecture.
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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.
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Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Course topics range from computer hardware design and embedded systems to software design and construction of real-time systems, virtual systems, enterprise software, artificial intelligence, and machine learning, robotics, and data mining.
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Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company.
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Hands-on experience with Databricks and Snowflake for data engineering and analytics. Required background/ Skillsets: Prior working experience in Data bricks Snowflake Python Data science background Proficiency in Python for software development and scripting.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of databases and data mining / big data analytics / predictive analytics (e.g., SQL, PowerBI, Tableau, Alteryx, Data Lakes, Data Warehouse)Knowledge and experience in advanced Optical Systems, EO/IR Sensors, or ISR applications.
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Advanced proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience Knowledge of machine learning frameworks (scikit-learn, TensorFlow, PyTorch) and data visualization tools.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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machine learning data mining software engineering visualization jobs Title: medical assistant
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