

Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist, remote for 1 year with potential extension, requiring expertise in statistical modeling, machine learning, and workforce optimization. Proficiency in Python or R, SQL, and data visualization tools is essential, along with claims data experience.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 28, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
Fixed Term
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π - Security clearance
Unknown
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π - Location detailed
Texas, United States
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π§ - Skills detailed
#Microsoft Power BI #R #Visualization #Data Mining #Azure #Tableau #ML (Machine Learning) #SQL (Structured Query Language) #Datasets #"ETL (Extract #Transform #Load)" #Time Series #Forecasting #Big Data #Cloud #GCP (Google Cloud Platform) #Data Science #AWS (Amazon Web Services) #BI (Business Intelligence) #Predictive Modeling #Python #NLP (Natural Language Processing)
Role description
Job Title: Data Scientist
Location: Remote CST Operating hours- more flex on EST time zone
Duration: 1 year w/ potential extension
Project Summary
Seeking a highly skilled Senior Decision Scientist to join our P&C Claims team. This role demands expertise in statistical modeling, machine learning (ML), and workforce optimization (WFO) techniques to develop and deploy advanced analytical solutions for claims operations. The ideal candidate will have a strong background in predictive modeling, time series analysis, and optimization algorithms, with practical experience applying these techniques to real-world problems. You will be responsible for building and maintaining forecasting models and implementing WFO strategies to optimize resource allocation. Proficiency in Python or R, along with experience in data mining, data visualization (e.g., Tableau, Power BI), and cloud platforms (e.g., AWS, Azure, GCP), is essential. You will work with large datasets from diverse sources, and you must be able to translate complex analytical findings into actionable insights for both technical and non-technical audiences. Experience with claims data, insurance software platforms, and big data technologies is a plus.
Top Skills
β’ NLP- Machine Learning (ML) transformation techniques
β’ Transforming the written language using modeling techniques
β’ Python
β’ SQL
β’ Gridspace- nice to have
β’ highlighting common data science and NLP-related questions, such as model-building experience, sampling techniques, and validation metrics
Desired Skills
β’ SIFT (Scale-Invariant Feature Transform) algorithm
β’ Call Center/Data Science experience
β’ P&C
Job Title: Data Scientist
Location: Remote CST Operating hours- more flex on EST time zone
Duration: 1 year w/ potential extension
Project Summary
Seeking a highly skilled Senior Decision Scientist to join our P&C Claims team. This role demands expertise in statistical modeling, machine learning (ML), and workforce optimization (WFO) techniques to develop and deploy advanced analytical solutions for claims operations. The ideal candidate will have a strong background in predictive modeling, time series analysis, and optimization algorithms, with practical experience applying these techniques to real-world problems. You will be responsible for building and maintaining forecasting models and implementing WFO strategies to optimize resource allocation. Proficiency in Python or R, along with experience in data mining, data visualization (e.g., Tableau, Power BI), and cloud platforms (e.g., AWS, Azure, GCP), is essential. You will work with large datasets from diverse sources, and you must be able to translate complex analytical findings into actionable insights for both technical and non-technical audiences. Experience with claims data, insurance software platforms, and big data technologies is a plus.
Top Skills
β’ NLP- Machine Learning (ML) transformation techniques
β’ Transforming the written language using modeling techniques
β’ Python
β’ SQL
β’ Gridspace- nice to have
β’ highlighting common data science and NLP-related questions, such as model-building experience, sampling techniques, and validation metrics
Desired Skills
β’ SIFT (Scale-Invariant Feature Transform) algorithm
β’ Call Center/Data Science experience
β’ P&C