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Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse. Strong experience with Python/R, forecasting methodologies, machine learning and statistics.
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Candidates should demonstrate expert knowledge in one or more of the following areas: data management, machine learning, deep learning, artificial intelligence, data visualization, programming Python, programming in R, databases, and related topics, either through a record of teaching excellence or through industrial experience.
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Experience using analytics / BI packages (e.g., SAS, R, SQL, Cognos, Business Objects) to build client analysis solutions. The team independently maintains the HEDIS/QARR data repository that informs reporting of HEDIS, QARR, and PCMH data to NYS DOH and CMS. To that end, the team carries the responsibility of ensuring the monthly rates and annual HEDIS and QARR submissions are timely, and quality checked for accuracy and completion.
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Transit Management Analyst Series- The Analyst will be responsible for supporting the EAM Program as the primary technical resource for data analysis, data development, data management, maintain continuity for each of the divisions utilizing EAM. Quality Control, testing, software development, cartography, data, and supporting the company-wide Enterprise Asset Management effort.
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Ensure MetroPlus is in compliance with government and agency regulations as they relate to NYS DOH, CMS, NCQA standards for required data submissions. The vendors include, but are not limited to: HEDIS software vendor, member rewards vendor, communications vendor, and provider and member portal vendor, as well as the CMS and NY state-mandated vendors for data transmission.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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This role emphasizes close collaboration with data analysts and cross-functional teams to deliver data-driven solutions using Python, Snowflake, DBT, and Kubernetes. Extensive experience with DBT and Snowflake for data warehousing, demonstrated through the creation and management of complex SQL/ETL/ELT data workflows.
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Knowledge of statistical programming language (R/Python preferred) Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 2+ years of data warehousing experience (Redshift or Snowflake.
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Experience using Python is required; experience using SAS, STATA, R, EVIEWS, or comparable statistical software or languages (e.g., SQL) is also desirable. Specifically, this position supports the Model Risk Management (“MRM”) program at the Bank. The overall MRM program is designed to provide governance and control to manage financial models and associated risks that may impact the company, including financial, liquidity, market, operational, reputational, strategic, and other risks as appropriate.
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Common areas of study include but are not limited to: Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, Business Administration, Audit Management, Risk Management.
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Experience implementing the knowledge of the four areas of code responsibilities: Configuration Data Management (CDM), Naval Support Activity (NSA)/Equipment Validation, Configuration Overhaul Planning (COP) development, and Bill of Material (BOM) report development.
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This role requires strong knowledge in database management, authentication protocols, 3D rendering, and data visualization. Experience with 3D rendering libraries (e.g., PyOpenGL, Panda3D) and data visualization tools (e.g., Matplotlib, Plotly.
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Must have any amount of experience with the following: Python; SQL; Unix; PowerBI; Tableau; Financial Risk Management; Derivative Valuations and Risk Modeling; and Stress Testing and What If Scenario analysis.
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python r data warehouse management jobs Title: data analyst in New York, NY
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