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Insight Global

Data Scientist

Insight Global, Camden, New Jersey, United States, 08100

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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 $90,000.00/yr - $120,000.00/yr

Direct message the job poster from Insight Global

Professional Recruiter at Insight Global Health Title : Data Scientist

Duration : Direct Hire

Location : Camden, NJ 08103

Schedule : Hybrid (Mon/Fri WFH, onsite Tues‑Thurs)

Interview Process : 2 rounds, virtual (2nd/final round is a case study)

Salary Range : $95-120k/yr (with benefits)

Must haves

1yr min professional/post‑grad Data Scientist experience, and knowledge across areas such as Machine Learning, NLP, LLMs, etc

Proficiency in Python and SQL for data manipulation and pipeline development

Bachelor's Degree

Plusses

Master's Degree

Azure experience (and/or other MS tools)

Experience working with healthcare data, preferably from Epic

Strong skills in data visualization, dashboard design, and interpreting complex datasets

Day to Day We are seeking a Data Scientist to join our client’s analytics team. This role focuses on leveraging advanced analytics techniques to drive clinical and business decision‑making. You will work with healthcare data to build predictive models, apply machine learning and NLP methods, and optimize data pipelines. The ideal candidate combines strong technical skills with the ability to communicate insights effectively to stakeholders.

Key Responsibilities

Develop and implement machine learning models for predictive analytics and clinical decision support.

Apply NLP and LLM techniques to extract insights from structured and unstructured data.

Build and optimize data pipelines using Python and SQL for ETL processes.

Preprocess and clean datasets to support analytics initiatives.

Collaborate with stakeholders to understand data needs and deliver actionable insights.

Interpret complex datasets and provide clear, data‑driven recommendations.

Seniority level Mid‑Senior level

Employment type Full‑time

Job function Information Technology, Hospitals and Health Care

Benefits

Vision insurance

401(k)

Medical insurance

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