IT Sr. Data Scientist

Hackensack Meridian Health

Woodbridge Township (NJ)

On-site

USD 154,000 - 189,000

Full time

7 days ago

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Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Paid leave

Tuition reimbursement

Retirement benefits

Job summary

Hackensack Meridian Health is hiring an IT Senior Data Scientist for onsite work in Iselin, NJ. You will partner with stakeholders to capture objectives, design AI/ML solutions, and build scalable, interpretable analytics products.

Responsibilities include leading data analyses, developing and deploying models in cloud environments, evaluating LLM prompts, and mentoring junior team members while communicating results to senior management.

Qualifications

Bachelor’s degree in STEM or related field.
4+ years in data science or 5+ years in data engineering/analyst/architecture.
Extensive Python and SQL development experience.
Experience with clinical data and cloud deployment.
Ability to deploy custom ML/AI models and build RAG pipelines.
Strong communication with technical and non-technical stakeholders.

Responsibilities

Partner with stakeholders to capture objectives and plan AI/ML approaches.
Lead exploratory data analysis and assess data suitability for AI/ML.
Optimize LLM outputs with prompt engineering and RAG pipelines.
Develop AI/ML models aligned to business goals and evaluate options.
Create scalable, interpretable models integrated into analytics products.
Write production-quality pipeline code and collaborate with data/software engineers.
Perform fairness, bias, and equity audits and interpretability reporting.
Mentor junior team members and communicate results to senior management.

Skills

Python development

SQL

Statistical modeling

LLM prompt engineering

Cloud deployment

Communication skills

Education

Bachelor’s degree in STEM

Master’s/PhD

Epic Clarity Data Model certification

Google ML Engineer Certification

Tools

Git

GitHub

Docker

Epic Clarity

Caboodle

Google Cloud Platform

BigQuery

VertexAI

Job description

Hackensack Meridian Health is hiring an IT Senior Data Scientist for onsite work in Iselin, NJ.

Responsibilities

Partner with HMH stakeholders to capture objectives, brainstorm AI/ML approaches, and document solution paths.
Lead exploratory data analysis to assess available data for each business objective and evaluate fit for AI/ML solutions.
Optimize Large Language Model (LLM) output using prompt engineering; build RAG pipelines.
Develop AI/ML models aligned to business goals using available data; evaluate model options and determine optimal approaches and performance characteristics.
Create repeatable, interpretable, and scalable models that integrate into analytic data products.
Engineer features by applying business context to combine data sources in new ways.
Write production-quality pipeline code to load data, run models, and store results.
Run AI/ML analyses including fairness, bias, and equity audits, performance assessments, impact assessments, and interpretability reporting.
Develop Python code that works cohesively with data engineers, software engineers, and data analysts.
Communicate ML/AI methodology and impact to senior management to support strategic decision-making.
Proactively communicate with stakeholders about concerns related to changes in work schedules.
Lead and manage complex projects with multiple stakeholders and teams; build and maintain relationships with senior management and clients.
Mentor and coach junior team members on ML/AI techniques and best practices; set goals and expectations for project teams.
Adhere to HMH organizational competencies and standards of behavior.
Perform other duties and/or projects as assigned.

Requirements

Bachelor’s degree in STEM or a related/relevant field.
4+ years of experience in a data science role, or 5+ years in a data engineering, analyst, or architecture role.
Extensive Python development experience.
Extensive SQL experience.
Proficiency developing and interpreting complex statistical models and a range of machine learning models.
Strong understanding of clinical data, including very proficient querying and use of clinical data.
Ability to deploy custom ML/AI models to a cloud platform and write production code for complex models.
Experience optimizing LLM output with prompt engineering and model fine-tuning, plus the ability to create RAG pipelines.
Ability to create custom model monitoring solutions as needed.
Ability to work effectively with technical and non-technical stakeholders.
Excellent written and verbal communication skills.
Proficiency with computer tools including Microsoft Office and Google Suite.