Data Scientist - (Remote - US)

Jobgether; United States; Remote; USD 135,000 - 170,000; Full time

Job summary

Join an innovative company dedicated to improving pediatric healthcare through data science. As a Data Scientist, you will leverage your expertise in Python and SQL to develop machine learning models that enhance clinical outcomes for children with special healthcare needs. Collaborate with cross-functional teams to transform healthcare goals into actionable insights, utilizing data from various sources. This remote position offers a competitive salary and a comprehensive benefits package, including medical, dental, and vision insurance, a 401(k) match, and generous PTO. If you're passionate about making a difference in healthcare, this opportunity is for you.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

401(k) with 4% match

20 days PTO

Paid New Parent Leave

Short and Long-term Disability

Life Insurance

Company-funded HSA

Floating Holidays

Qualifications

• 3+ years of experience in data science with a focus on healthcare.
• Strong background in causal inference and hypothesis testing.

Responsibilities

• Develop ML models to improve clinical outcomes for pediatric healthcare.
• Collaborate with teams to optimize data collection and build assets.

Skills

Python

SQL

Machine Learning

Data Analysis

Causal Inference

Research Methods

Communication Skills

Tools

Snowflake

AWS

Tableau

Job description

Description

Jobgether has ALL remote jobs globally. We match you to roles where you're most likely to succeed, and provide feedback on every application to help you learn. No more guesswork, application black holes, or recruiter ghosting in your job search.

For one of our clients, we are looking for a Data Scientist, remotely from the United States.

As a Data Scientist, you will be part of a growing team dedicated to improving pediatric healthcare by utilizing data science to enhance clinical outcomes for children with special healthcare needs. This role will involve developing machine learning (ML) models, analyzing data from clinical, claims, and social determinants of health (SDoH), and delivering insights that directly impact patient care. Your work will support the strategic goals of the business by providing actionable data-driven recommendations that enhance decision-making across the organization.

Accountabilities:

• Work closely with business stakeholders to translate healthcare goals into actionable ML/AI models aimed at improving clinical outcomes.
• Collaborate with cross-functional teams to define requirements, optimize data collection, and build data assets.
• Develop and refine ML models using clinical, claims, and SDoH data to generate insights and improve patient care.
• Independently query and manage data in Snowflake, preparing it for exploratory analysis and modeling.
• Present findings and insights to non-technical staff in a clear and accessible manner.

Requirements

• At least 3 years of experience, with proficiency in Python and SQL.
• Strong background in study design, causal inference, hypothesis testing, and research methods.
• Experience in working with healthcare data and a deep understanding of its complexities is preferred.
• Ability to communicate technical findings to non-technical stakeholders across the organization.
• Experience working in a startup or growth environment is essential.
• Familiarity with Snowflake, AWS, and Tableau is a plus.

Benefits

• Base salary range of $135,000 - $170,000, plus annual bonus incentive.
• Competitive medical, dental, and vision insurance.
• Healthcare and Dependent Care FSA, and company-funded HSA.
• 401(k) with a 4% match, vested 100% from day one.
• Employer-paid short and long-term disability.
• Life insurance equal to 1x annual salary.
• 20 days of PTO, 10 company holidays, and 2 floating holidays.
• Paid new parent leave.
• Additional benefits to be detailed in the offer.

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