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Advanced degree in a related field such as Computer Science, Engineering, Mathematics or Quantitative Finance is preferred. Proficient in programming and data analysis e.g., R, Python, SQL. Familiarity with data visualization tools such as Spotfire or Tableau is a plus.
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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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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.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Ph. D. in computational chemistry, cheminformatics, computer science or a related field with 5+ years experience in the pharmaceutical industry. Keywords: Cheminformatics, Computational Chemistry, Machine Learning, Artificial Intelligence, Computational Sciences, Drug Discovery, Pharmaceutical, Biotechnology, Boston, Cambridge, Massachusetts.
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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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Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio.
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We are seeking a candidate with experience in Deep Learning frameworks such as PyTorch and TensorFlow, and proficiency in programming with Python. 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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PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field. Stay abreast of latest AI trends and maintain state-of-the-art knowledge in machine learning, deep learning, and computational linguistics.
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MSc or a Ph. D. degree in applied mathematics, computer science, physics, or a related discipline, or equivalent professional experience, At QuEra, you will focus on using our near-term quantum hardware to develop quantum solutions across fields ranging from machine learning, operations research, data science, chemistry, and more.
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5+ years of experience in UX research focused on applied research for product development; 3 years+ if you Masters degree in Human-Computer Interaction (HCI), Psychology, Sociology, Cognitive Science, or related field.
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Identify and analyze new fraud detection features using SQL, Databricks, and Python. High proficiency in SQL 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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Bachelor's degree (or above) in a quantitative or computational field such as Statistics, Computer Science or Applied Mathematics. Technical and programming skills including Python, SQL and Unix.
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Expert level programming experience in Python (Anaconda/Data Science/Scrapy), and SQL (Complex ANSI-SQL). Build and maintain serverless data ingestion & refresh pipelines in terabyte-scale using Azure cloud services – Azure Data Factory, Azure Logic Apps, Databricks, PySpark and Python, Azure SQL DW, Azure Data Lake Store, and others.
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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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