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The candidate is responsible for programming in numerous data processing steps (cleaning, extracting, merging, etc) in SAS/SQL/R/Python programing environments. Minimum 5+ years of experience programming in SAS/SQL/R/Python with at least 3-5 year in the pharmaceutical industry.
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Building and managing CI/CD (Continuous Integration/Continuous Delivery) workflows and complex system integration using DevOps scripts and frameworks/tools Gitlab, Jenkins, BitBucket, Nexus, CVS and AppviewX. Hands on experience in scripting languages (shell, python, groovy), Terraform modules/templates, CloudFormation(AWS) or other Public Cloud platforms, operating systems (Linux and windows), Configuration Management tools (Chef or Puppet), network fundamentals to build automation framework.
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Strong proficiency in SQL, Python, and other programming languages relevant to data engineering. In-depth knowledge of data warehousing solutions (e.g., Postgres, Snowflake, Redshift, BigQuery.
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Primary Skills :- Data Studio or Looker Studio, Linux Shell Scrpt, SQL, GCP BigQuery, Python. Primary Skills :- Data Studio or Looker Studio, Linux Shell Scrpt, SQL, GCP BigQuery, Python. 1-2 years of working experience in converting ETL jobs( in Informatica/Talend,/DataStage) into Dataflow or Dataproc and migrated in CI\CD pipeline.
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High proficiency on data analysis using tools like R, Python, SQL (atleast one required/Python preferred) Qualitative skills: Independent contributor/Self starter Good communication and presentation skills to present work to Executive Leadership team Able to commute to client location - 25% Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data.
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Expertise with core data science languages (such as Python, R, Scala), and proficiency with key database systems (e.g. SQL, NoSQL). Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark, Snowflake.
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Strong background in data analytics and data science, with proficiency in tools such as Python, R, or MATLAB. Stefanini Group is looking for a Geospatial Data Engineer (Remote) for a globally recognized company.
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Expertise in BigQuery query optimization and backend data preparation for integration with frontend tools such as Tableau and Power BI.Experience in data processing using Python scripting. Expertise in BigQuery query optimization and backend data preparation for integration with frontend tools such as Tableau and Power BI.Experience in data processing using Python scripting.
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Minimum years of programming experience in SAS/SQL/R/Python, with at least - years in the pharmaceutical industry. Requirements: Strong and advanced programming and analytical abilities in SAS/SQL/R/Python.
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Has strong programming skills in Python/SAS (or similar analytics software) and has ability to work with large modeling datasets. Responsibilities Maintains an understanding of loss modeling techniques commonly used in CECL and Credit Risk Stress Testing/CCAR and ratings score carding processes such as transition ratings models, logistic regression/hazard models, competing state hazard models, vintage loss models, etc.
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6-8 years of strong experience in Spark, Python, Shell Scripting, PostgreSQL, Hadoop, AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch), Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration.
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Experience with Predictive / Prescriptive modeling Advanced proficiency in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc.
$110,000 - $224,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with large database, quantitative analytical tools, including any of the following: SPSS, SAS, SQL, R and Python. Reporting to the Director of Institutional Research and Effectiveness (OIRE), the Assistant Director of Institutional Effectiveness provides leadership and expertise to support the core operational assessment activities of the Office of Institutional Research and Effectiveness as well as collaborate with the Associate Provost for Academic Programs and Assessment on university-wide assessment, strategic planning, program evaluations, and accreditation projects.
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The Associate Director is versed in statistical programming languages such as SAS, R, Python, etc to perform programming in processing data at different levels, verifies analytical datasets, and applies conventional and novel statistical methods to summarize data and generate clinically meaningful results.
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SAS and SQL knowledge (needed), Excel, R, Python (optional) These models are used to support multiple functions including underwriting, portfolio management, stress testing (HCR/DFAST) and loss reserve calculation (CECL/IFRS.
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python job Company: Oscar Associates in Short Hills, NJ
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