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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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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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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. 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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Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python, and/or SAS. Employer will accept a Bachelor's degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Engineering, or a related technical field and four years of experience in job offered or in a Senior Data Scientist related occupation.
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Strong background in machine learning, statistical modeling, and data mining. We are seeking a highly skilled and motivated Senior Data Scientist with expertise in deep learning, particularly as applied to a combination of text and structured data.
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We are looking for a Senior Data Scientist, ideally with a background in demand forecasting and time-series, to join our Data Science team within our Data and Analytics CoE. As a data scientist within the CoE, your mission will be to develop world-class AI, data science, machine learning, and related solutions to solve for our biggest challenges.
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CGI is currently seeking Data Scientist / Machine Learning Engineer for our Artificial Intelligence Solution team. Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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1 year of experience with Machine Learning Ops frameworks and tools for deployment of models. 3 years programming experience in Python focused on Machine Learning frameworks and tools such as PyTorch and scikit Learn.
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As our first Data Science hire focusing on Machine Learning at Circle, you'll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.
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Experience using statistical computer languages (Python, SQL, Scikit-Learn, and well-known machine learning frameworks and techniques) to manipulate data and draw insights from large data sets, and using web services: AWS Redshift, S3, etc.
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Analytics Impact: Contribute to and manage advanced analytics (Data Science/ Artificial Intelligence / Machine Learning) initiatives that create tangible business value, beyond POCs and Pilots.
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In addition, working knowledge of current machine learning technologies, and image processing / image analysis libraries in Python ( OpenCV, SciKit-Image ) are required. They have experience with of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.
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As the Ninety organization continues to experience exceptional growth, we are building an LLM-driven experience that will allow our users to interact with our product in a whole new way, and we are looking for a Data Scientist who thrives in a data science and machine learning environment with a profound love for curating, building, and optimizing dataset construction.
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machine learning jobs Title: data scientist in Atlanta, ID, Canada
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