Sr. Data Scientist

Insight Global; Hartford (CT); On-site; USD 68,880 - 82,656; Full time

Benefits offered by this job

Vision insurance

Medical insurance

401(k)

Job summary

A leading recruitment firm is seeking a skilled Senior Data Scientist to join its Medicare Member Experience data science team. This role involves developing and deploying machine learning models aimed at enhancing customer satisfaction. Responsibilities include collaborating with cross-functional teams, segmenting members, and working with imbalanced datasets. Ideal candidates should have a Bachelor's degree and experience in data science, cloud platforms, and effective communication. The position is contract-based and requires mid-senior level expertise in health care and information technology.

Qualifications

• 3+ years industry experience in data science or machine learning.
• Experience deploying machine learning (ML) models in a production environment.
• Good communication skills including the ability to explain technical concepts to non-technical audiences.

Responsibilities

• Develop and deploy machine learning models to improve customer satisfaction.
• Segment members and build predictive models to enhance member experience.
• Collaborate with cross-functional teams to deliver insights on the cloud.

Skills

Data science

Machine learning

Python

Cloud computing

Communication skills

Education

Bachelor’s degree in data science, statistics, computer science or related field

Tools

Google Cloud Platform

AWS

Azure

Apache Spark

Apache Beam

Job description

This range is provided by Insight Global. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$50.00/hr - $60.00/hr

Direct message the job poster from Insight Global

Professional Recruiter @ Insight Global | Recruiting, Communication, Organization

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

• 3+ years industry experience in data science or machine learning
• 3+ years experience with cloud computing platforms (e.g., Google Cloud Platform, Amazon Web Services, Azure)
• Proficient in Python and object-oriented programming
• Experience predicting outcomes in highly imbalanced datasets
• Experience deploying machine learning (ML) models in a production environment
• Experience navigating and querying production tables for features correlated with modeling outputs
• Understanding of continuous evaluation of models in production using CI/CD patterns and awareness of tooling to support monitoring
• Experience translating business requirements into actionable insights and ML solutions.
• Good communication skills including the ability to explain technical concepts to non-technical audiences.
• Bachelor’s degree in data science, statistics, computer science or related field.

Nice to Have Skills & Experience

• Ability to effectively lead data science projects from start to finish, mentor junior colleagues, and drive data science initiatives.
• Experience with healthcare data, especially in the customer service domain
• Experience with Google Cloud Platform tools (e.g., BigQuery, VertexAI, Composer)
• Experience with parallelized applications for data science, such as Apache Spark and Apache Beam (DataProc, DataFlow)
• Advanced degree in data science, statistics, computer science or related field.

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Health Care Provider and Information Technology

Industries

Technology, Information and Media

Hospitals and Health Care

Benefits

• Vision insurance
• Medical insurance
• 401(k)

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