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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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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, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL) and tools (AWS SageMaker, Dataiku, Databricks etc. Proficient in Python, SQL, Git, and Jenkins and in frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
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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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Demonstrated ability to script and automate using SAS/Python/R for AML model development. Hands-on expertise in SQL, ETL, SAS, Python, R, and other scripting tools. The role is focused on Anti-Money Laundering (AML) model development, specifically for transaction monitoring, name matching, watch-list monitoring, and customer risk scoring.
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Work with the Data Science Services team to provide beginning to intermediate data analysis consulting services for faculty, students, and staff from a wide range of disciplines across the university in the following areas: Data Engineering Extract, scrape, process and engineer data using a variety of tools such as Python, R, Stata, NVivo, etc.
$117,150 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Extensive knowledge of modern JavaScript frameworks (e.g., Next.js, Vue.js), Python, SQL, and RESTful APIs. Extensive knowledge of modern JavaScript frameworks (e.g., Next.js, Vue.js), Python, SQL, and RESTful APIs.
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Preferred Qualifications:If you have the following characteristics, it would be a plus:Developing and deploying applications in a cloud environment like Google Cloud (preferred), AWS, AzureExperience in an open-source web framework preferably implemented in JS, TypeScript, Python, Java, Scala, or similar.
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Strong software engineering skills in Python, Golang, or Java. Technologies we use (not exhaustive): Splunk, Snowflake, Lacework, Okta, Jamf, Meraki, Wiz, Crowdstrike. Strong software engineering skills in Python, Golang, or Java.
$235,200 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Identify and analyze new fraud detection features using SQL, Databricks, and Python. High proficiency in SQL and Python. Familiarity with AWS, GCP, Databricks, Github, Airflow and Looker.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus.
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Must have Tools: Selenium, Client Load Runner, TOAD for Oracle 12.6, Python, Oracle SQL Developer 18.2, PL/SQL, UNIX, AWS, FileZilla, Microsoft Visio, WinSCP, Java, MS Office, Atlassian JIRA, Putty, COGNOS.•Prior experience working in healthcare or government setting with a strong knowledge base in healthcare insurance principles, eligibility, and Medicaid Management Information System (MMIS.
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Strong programming skills in Python, and familiarity with AI frameworks like TensorFlow or PyTorch. 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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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, SAS, Python, R, Matlab or Mathematica.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have extensive experience in data analysis within the healthcare industry, proficiency in visualization tools such as Tableau/Power BI, data analysis tools such as SQL/Python/R and experience with systems such as EPIC EMR/Praxis/Cerner/Allscripts and a strong ability to create insightful dashboards that drive strategic decision-making.
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python job Company: Oscar Associates in Quincy, MA
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