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Experience with common data science toolkits, such as Python, R, SQL. Excellence in at least one of these is desirable. The Associate Data Scientist works with the data science team to facilitate and manage clinical data collection for algorithm development, for clinical studies related to FDA submission, and for research and scientific communications purposes.
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Proficiency with VBA, SQL tools, Matlab, Python, R, Power BI is preferred. This position is a member of the Gas Market Analytics team which is responsible for market analysis, developing fundamental market models, short and long term balance and price forecasting using statistical and qualitative methodologies in support of gas and power trading activities.
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Extensive experience working with large complex data and proficiency in corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technologies such as Hadoop.
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Knowledge of analytics tools such as Python, R, SQL, Adobe Analytics, Mixpanel, or similar website performance analysis in user behavior is a plus as well as experience with marketing technology and tools (Google Analytics, AEM, SFMC, DSP, CDP, etc.
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Experience with Python-based frameworks, SQL, or R; data visualization products like Tableau or PowerBI; data frameworks like Hadoop. The PID division develops innovative, AI-based solutions for education and the workforce that are built on a foundation of learning and cognitive science principles and leverage interactive task design, machine learning, and data sciences.
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Proficiency in R/Python, SQL, Tableau, MS Office Suite. Proficiency in R/Python, SQL, Tableau, MS Office Suite. Supports the evaluation, improvement and development of functional capabilities related to econometric modeling, resource allocation, segmentation, test & learn frameworks, customer analytics and omni-channel marketing analytics.
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Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog. Hands-on experience with Python and/or Scala i.e. PySpark/Scala-Spark.
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Building, Optimizing & supporting data pipelines utilizing Python, SQL & Java Script utilizing Snowflake & AWS. Experience with Scripting language in Snowflake including SQL Stored Procs, Java Script Stored Procedures & Python UDFs.
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Knowledge of research applications used in the conduct of health services research including SAS, R, Python, SQL, Tableau plus - Strong consulting and influencing skills and proven capabilities in senior stakeholder engagement and matrix team leadership.
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Building, Optimizing & supporting data pipelines utilizing Python, SQL & Java Script utilizing. Python Libraries Kivy, Dash, PyTorch and Poetry Tool. Devops experience specially utilizing Azure Devops for deploying Python.
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Programming skills required: Python is a must, R, SQL, etc. What The Role Is As a part of the fundamentals & structuring team, the quant modeler will be responsible for a variety of activities from short and long-term econometric or statistical analysis of power markets and adding quantitative power to fundamental market analysis to assisting structuring and BESS modeling activities and supporting trading/optimization/hedging.
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Build and maintain familiarity with Otsuka data engineering tech stack including Python, PySpark, SQL, and Snowflake. Hands on experience using a modeling and simulation software (e.g. Python, Matlab, R, NONMEM, SAS, S-Plus, etc) is a plus.
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Proficiency in Python/R and SQL, or similar technologies, for hands-on data wrangling, and exploratory data analysis and hypothesis testing. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
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Work on legacy technologies (COBOL, JCL, VSAM, DB2, SQL, Rexx, Eazytrieve) on IBM Mainframe platforms to maintain and upgrade systems. Innovate and enhance systems using Big Data, Hadoop, Java, Python, Agile, Scrum, Microservices, APIs. Collaborate with cross-functional teams to gather requirements, create Business Requirements (BRD), and plan testing strategies.
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Proficient in Python, R, SQL, and other programming languages for data analysis and Client development. Design, develop, and deploy end-to-end AI and Client solutions using AWS services, Dataiku, Python, and other relevant technologies.
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