

Insight Global
Sr. Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Scientist with a contract length of "unknown" and a pay rate of "unknown," located "remote." Requires 3+ years in data science, cloud platforms, Python, and experience with imbalanced datasets. Healthcare data experience is preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
480
-
ποΈ - Date
January 6, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Hartford, CT
-
π§ - Skills detailed
#Statistics #Programming #Cloud #Apache Beam #Datasets #Azure #Spark (Apache Spark) #AWS (Amazon Web Services) #ML (Machine Learning) #Python #Web Services #BigQuery #Dataflow #Apache Spark #Computer Science #GCP (Google Cloud Platform) #Monitoring #Data Science
Role description
Job Description:
We seek a skilled Senior Data Scientist in our Medicare Member Experience data science team. In this role, you will be responsible for developing and deploying machine learning (ML) models to assist in a variety of customer satisfaction initiatives. You will segment members, work with highly imbalanced datasets, and build predictive models that identify when and how we should contact our members. Your ML solutions will assist Aetna in maintaining its STARS ratings by identifying areas for improving member experience. You will collaborate with cross-functional teams to understand requirements, define objectives, and deliver insights on the cloud.
Required Skills & Experience:
β’ 3+ years industry experience in data science or machine learning
β’ 3+ years experience with cloud computing platforms (e.g., Google Cloud Platform, Amazon Web Services, Azure)
β’ Proficient in Python and object-oriented programming
β’ Experience predicting outcomes in highly imbalanced datasets
β’ Experience deploying machine learning (ML) models in a production environment
β’ Experience navigating and querying production tables for features correlated with modeling outputs
β’ Understanding of continuous evaluation of models in production using CI/CD patterns and awareness of tooling to support monitoring
β’ Experience translating business requirements into actionable insights and ML solutions.
β’ Good communication skills including the ability to explain technical concepts to non-technical audiences.
β’ Bachelorβs degree in data science, statistics, computer science or related field.
Nice to Have Skills & Experience:
β’ Ability to effectively lead data science projects from start to finish, mentor junior colleagues, and drive data science initiatives.
β’ Experience with healthcare data, especially in the customer service domain
β’ Experience with Google Cloud Platform tools (e.g., BigQuery, VertexAI, Composer)
β’ Experience with parallelized applications for data science, such as Apache Spark and Apache Beam (DataProc, DataFlow)
β’ Advanced degree in data science, statistics, computer science or related field.
Job Description:
We seek a skilled Senior Data Scientist in our Medicare Member Experience data science team. In this role, you will be responsible for developing and deploying machine learning (ML) models to assist in a variety of customer satisfaction initiatives. You will segment members, work with highly imbalanced datasets, and build predictive models that identify when and how we should contact our members. Your ML solutions will assist Aetna in maintaining its STARS ratings by identifying areas for improving member experience. You will collaborate with cross-functional teams to understand requirements, define objectives, and deliver insights on the cloud.
Required Skills & Experience:
β’ 3+ years industry experience in data science or machine learning
β’ 3+ years experience with cloud computing platforms (e.g., Google Cloud Platform, Amazon Web Services, Azure)
β’ Proficient in Python and object-oriented programming
β’ Experience predicting outcomes in highly imbalanced datasets
β’ Experience deploying machine learning (ML) models in a production environment
β’ Experience navigating and querying production tables for features correlated with modeling outputs
β’ Understanding of continuous evaluation of models in production using CI/CD patterns and awareness of tooling to support monitoring
β’ Experience translating business requirements into actionable insights and ML solutions.
β’ Good communication skills including the ability to explain technical concepts to non-technical audiences.
β’ Bachelorβs degree in data science, statistics, computer science or related field.
Nice to Have Skills & Experience:
β’ Ability to effectively lead data science projects from start to finish, mentor junior colleagues, and drive data science initiatives.
β’ Experience with healthcare data, especially in the customer service domain
β’ Experience with Google Cloud Platform tools (e.g., BigQuery, VertexAI, Composer)
β’ Experience with parallelized applications for data science, such as Apache Spark and Apache Beam (DataProc, DataFlow)
β’ Advanced degree in data science, statistics, computer science or related field.





