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7+ years ofquantitative expertise: statistics, mathematics, and computer science (python / SQL required) Access to learning content on Degreed and other informational platforms.
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Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics. PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
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Alternatively, the employer will accept a Master’s degree in Finance, Computer Science, Engineering Management, or other related field plus three (3) years of experience in the job offered or three (3) years as a Senior Application Support Engineer, Data Analyst, or a related occupation.
$169,104 - $199,104 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this role, you will collaborate with researchers to develop machine learning methods for computational biology and drive the implementation and testing of novel research ideas using cutting-edge deep learning techniques.
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Develop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Demonstrated experience in Python, PySpark and SQL (AWS Redshift, Postgres, Oracle.
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Machine Learning : Proficient in Machine Learning, NLP, or deep learning using Python. Machine Learning : Experienced in Machine Learning, NLP, or deep learning using Python.
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Strong proficiency in developing machine learning models using Python machine learning packages, Azure Databricks, and other Azure technologies. Bachelor's (and at least 3 years of experience working in AI/ Data Science) or Master’s degree in Computer Science, Engineering, Mathematics, or related field.
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Identify and analyze new fraud detection features using SQL, Databricks, and Python. You will play a pivotal role in combating high-risk fraud and scams across our platform, utilizing advanced machine learning and analytical solutions.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Highly strong coding skills (Python) and fluency in major machine learning frameworks. Ph. D. in Computer Science, Computational Biology, Bioinformatics, or a related field from a top-tier university.
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Science or a related field plus one (1) year of experience as a Data Analyst or a related occupation performing advanced analytics using predictive modeling and machine learning algorithms.
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Bachelor s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Software Engineer/Developer (or closely related occupation) automating Java APIs, AWS Serverless solutions, and Angular front-ends using Selenium and JEST in a financial services environment.
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Expected Qualifications: Demonstrated knowledge and teaching experience in at least one of the following areas: Statistics, Data Analytics, Data Visualization with different tools, Python, Data Management & SQL, Data Engineering, R Programming, and/or Machine Learning.
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Alternatively, the employer will accept a master’s degree, or its foreign equivalent, in Computer Information Systems, Information Systems, Computer Applications, Computer Science, IT, Analytics, Computer Engineering, or a related engineering/computer/analytical field plus 5 years of professional experience as a Systems Engineer/Developer, Business Intelligence Analyst/Developer, in the job offered, or in other positions involving business intelligence.
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PhD or MSc in computational biophysics, computational chemistry, chemical engineering, computer science, machine learning or related field. We are seeking a highly motivated machine learning scientist to join the Chemical Data Science team.
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