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Senior Associate | Senior Associate in Human Resource Job in Manhattan NY | 7264835784

This listing was posted on Tip Top Job.

Senior Associate

Location:
Manhattan, NY
Description:

Job Requisition ID:90232 Location Designation:Hybrid : 3 days per week Location: New York, NY Offered Wage: 163,238/year Duties: As part of the companys Center for Data Science and Artificial Intelligence (CDSAi), leads and contributes to data analysis and modeling projects from project sample design, and business review meetings with internal and external clients. Determines requirements, deliverables, reception, and data processing. Performs data analyses and modeling to final reports and presentations, communicates results. Demonstrates to internal and external stakeholders how analytics can be implemented to maximize business benefits. Provides technical support, including strategic consulting, needs assessments, project scoping, and preparing and presenting analytical proposals. Creates high:performing predictive models and creative analyses leveraging advanced statistical and machine:learning techniques to address business objectives and client needs. Tests new statistical and machine:learning analysis methods and software and data sources for continual improvement of quantitative solutions. Implements analytical models into production by collaborating with internal Technology and Operations teams. Leverages data visualization tools for model testing, modeling results, and exhibiting data patterns. Designs performance metrics for model selection and performance monitoring. Performs data wrangling and data matching leveraging extract, transfer, load (ETL) techniques. Programs applications in multiple languages to explore a variety of data sources, gain data expertise, perform summary analyses, and prepare modeling datasets. Deploys analytical solutions in the Production systems. Communicates with internal stakeholders concerning product design, data specifications, and model implementations and with partners concerning collaboration ideas. Creates project milestone plans to ensure projects are completed on time and within budget. Follows industry trends in insurance and related data analytics processes and businesses. Participates in proof:of:concept tests for new data, software, and technologies. Ensures compliance with regulatory and privacy requirements during the design and implementation of modeling and analysis projects. Education and Experience Requirements: Masters degree in Statistics, Computer Science, Mathematics, Machine:Learning or related quantitative field (willing to accept foreign education equivalent) plus three (3) years of experience coding and performing predictive modeling using large and complex datasets for the consumer finance or Insurance industry. Or, alternatively: Bachelors degree in Statistics, Computer Science, Mathematics, Machine:Learning or related quantitative field (willing to accept foreign education equivalent) and five (5) years of experience coding and performing predictive modeling using large and complex datasets for the consumer finance or Insurance industry. Required Skills: Experience must include 2 years in each of the following skills: :Developing and deploying time:to:event survival models into production leveraging proportional hazard models, Random Survival Forest or accelerated failure time in the consumer finance or insurance industry; :Programming production:ready code leveraging Python, R, SQL or Spark to extract and transform data from multiple data sources (using SQL, Oracle or Hadoop) for modeling data consistency management and data analysis reports; and to test, deploy, and integrate statistical models into business operation and decision:making processes; :Developing parametric statistical models (including linear regression, time series, and generalized linear models (GLMs) and non:parametric models (including Random Forest, XGBoost, and gradient boosting machine (GBM) tree models) in R or Python using large and complex datasets for the insur
Posted:
May 9 on Tip Top Job
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