Find work in the United States.

A simpler way to find your next job.

Jobs in the United States

25+ jobs

Save this search

Added 4 mins ago
Senior, AI Developer
Plains Marketing LP
Houston, TX
…specializing in transportation, storage, processing and marketing solutions for crude oil. We own an extensive network of pipeline transportation, terminalling, storage and gathering assets…
Added 7 mins ago
Sr Lead Software Engineer - Agentic Pricing & AI/ML
JPMC page
Jersey City, NJ
Executes creative software solutions, design, development, and technical troubleshooting, applying innovative approaches to solve complex technical problems
Added 7 mins ago
Workforce Planning - Data Scientist - Senior Associate
JPMC page
Wilmington, DE · Plano, TX · Columbus, OH
…Our Workforce Planning (WFP) Data Science team builds AI/ML solutions that help forecast demand, optimize capacity, and sharpen scheduling - at the scale of Chase call centers, back office…
Added 7 mins ago
AI Engineer - Data Success
Citian
Washington, DC
Citian is a fast growing, venture backed SaaS technology company based in Washington, DC. Our software solutions revolutionize how our transportation and infrastructure systems – roads,…
Added 9 mins ago
System Engineer
Anduril Industries
Costa Mesa, CA
Hands-on experience administering Pure Storage and NetApp (ONTAP) SAN/NAS solutions.
Added 9 mins ago
Automation Chemist - Chemspeed
Bruker Corporation
UNAVAILABLE, MA · NH · ME · VT
…scientific instruments and high value analytical and diagnostic solutions enable scientists to explore life and materials at molecular, cellular, and microscopic levels. In close…
Added 10 mins ago
Mobile DevOps Engineer
Infosys
United States
⦁ Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
Added 12 mins ago
Sr Software Engineer I
American Express
Atlanta, GA · Phoenix, AZ · New York, NY · NY
Design, develop, and deliver scalable, high-quality software solutions across the full stack, leveraging Java and Python for enterprise-grade platforms and services
Added 13 mins ago
S
RF Design Automation & Validation Summer/Fall Co-Op (June - Dec '27)
Skyworks
Andover, MA
- $23 to $49 USD / hour
…an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive…
Added 18 mins ago
Sr. Software Integration Engineer
Rivian
Normal, IL
Added 20 mins ago
Assistant Scientist - Nephrology - Quantitative Health
University of Florida
Gainesville, FL
Proficiency in Python and scientific computing libraries
Added 22 mins ago
Forward Deployed Engineering Manager II, Data Cloud, Google Cloud
Google
New York, NY · Sunnyvale, CA
Experience reviewing designs and code in Python, PySpark and SQL.
Added 23 mins ago
Senior Product Owner, Adobe Experience Manager (AEM)
Appnovation Technologies
NY
…Appnovation builds AI products, delivers enterprise AI and digital solutions, and co-invests with clients to bring new AI products to…
Added 24 mins ago
Principal Software Engineer – GRS Innovation (Generative AI)
Liberty Mutual Insurance
Boston · Portsmouth · Indianapolis · Plano · Columbus
Build and validate emerging solutions Design and build proofs of concept and initial pilots that apply generative AI to real commercial and specialty insurance problems. Develop…
Added 27 mins ago
Sales Engineer, Mid Market - TOLA
Samsara
Remote, United States
…and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a…
Added 27 mins ago
Principal Software Engineer – GRS Innovation (Generative AI)
Liberty Mutual
Boston, MA · Portsmouth, NH · Indianapolis, IN · Plano, TX · Columbus, OH
Liberty Mutual’s Global Risk Solutions (GRS) business provides commercial and specialty insurance solutions to organizations around the world. Within GRS Innovation, we explore emerging…
Added 27 mins ago
Principal Front-Office Engineer - Investments Technology (Private Markets)
Liberty Mutual
Boston, MA
…design systems, rapidly iterate on them, and deliver quality solutions that power analytics, reporting, and investment…
Added 30 mins ago
GC
Data Scientist (Hybrid)
Geospatial Consulting Group International (geocgi)
Rosslyn, VA
- $110,000 to $135,000 USD / year
…data analytics, machine learning, and artificial intelligence solutions to support customer requirements. This position is a hybrid opportunity, primarily home-based, with one day a week…
Added 30 mins ago
O
Principal Application Software Engineer- Oracle Health
Oracle
United States
- $99,600 to $209,500 USD / year
…development, integration services, and healthcare workflow solutions. This role bridges the gap between foundational cloud platforms and customer-facing healthcare applications, providing…
Added 30 mins ago
O
Senior Application Software Engineer- Oracle Health
Oracle
United States
- $86,100 to $187,000 USD / year
…development, integration services, and healthcare workflow solutions. This role bridges the gap between foundational cloud platforms and customer-facing healthcare applications, providing…
Added 35 mins ago
Product Manager II, YouTube Data, AI Insights
Google
San Bruno, CA
Experience analyzing end-to-end developer or data consumer journeys to deliver platform velocity wins.
Added 35 mins ago
DE
Staff Engineer, Storage Metadata and Context
Disney Entertainment
Emeryville, CA
- $182,835 to $236,610 USD / year
…deeply technical concepts into practical, workflow-enhancing solutions for non-technical…
Added 36 mins ago
T
Senior Database Engineer
TEKsystems
Foster City, CA
- $70 to $80 USD / hour
Design and develop efficient, scalable database solutions aligned to business requirements.
Added 36 mins ago
Software Engineer - Hardware Diagnostics
Cisco
Milpitas, CA
Minimum of 5 years of professional experience developing software using C/C++ and/or Python within a Linux environment.
Added 37 mins ago
A
Engineering Technician (Instrumentation)
Actalent
Fremont, CA
- $38 to $47 USD / hour
Basic coding or programming experience in languages such as Python or C++.

Closed listing

Baylor Scott & White Health

Data Scientist 1

Columbia, SC, United States

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Posting language: English
Posted: Oct 31, 2026

Similar jobs hiring now

Search current openings

Original job description

Archived listing. The details below describe a past opening.

About Us

Here at Baylor Scott & White Health we promote the well-being of all individuals, families, and communities. Baylor Scott and White is the largest not-for-profit healthcare system in Texas that empowers you to live well.

Our Core Values are:

We serve faithfully by doing what's right with a joyful heart.
We never settle by constantly striving for better.
We are in it together by supporting one another and those we serve.
We make an impact by taking initiative and delivering exceptional experience.

Benefits

Our benefits are designed to help you live well no matter where you are on your journey. For full details on coverage and eligibility, visit the Baylor Scott & White Benefits Hub to explore our offerings, which may include:

Immediate eligibility for health and welfare benefits
401(k) savings plan with dollar-for-dollar match up to 5%
Tuition Reimbursement
PTO accrual beginning Day 1

Note: Benefits may vary based on position type and level.

Work Authorization Requirement: Candidates must be legally authorized to work in the United States

without employer sponsorship. Visa sponsorship is not available for this position at this time.

About the Team

Care Coverage Analytics supports the data science and advanced analytics needs of Baylor Scott & White

Health and the Baylor Scott & White Quality Alliance (ACO). We support over 1.2 million lives across multiple

blocks of business by partnering with operational teams and subject-matter experts to improve healthcare

decisions and outcomes.

Job Summary

We are seeking a Data Scientist 1 to develop practical data science, natural language query (NLQ), and agentic

AI solutions for complex healthcare problems. Serving as both a data scientist and a consultative partner, you

will work with data scientists, data engineers, subject-matter experts, and business partners to frame

problems, challenge assumptions, and turn questions into reliable models and AI-enabled solutions that

improve access to trusted information, reduce manual work, and support better decisions.

In this role, you will contribute across the solution lifecycle, from problem definition and data preparation

through development, evaluation, deployment, and monitoring. You will study how people use NLQ and

agentic products and help turn behavioral patterns, feedback, and unmet needs into product improvements.

You will also use AI-assisted coding tools and learn to package repeatable work as reusable agent skills and

internal AI solutions. This applied role requires curiosity, sound data science foundations, and a commitment

to accuracy, security, explainability, and responsible AI.

Responsibilities and Time Allocation

Communication and Consulting | 25% : Build trusted relationships with business, clinical, and technical

partners. Clarify needs, frame problems, challenge assumptions, recommend appropriate analytical

approaches, establish success measures, and communicate findings, tradeoffs, and limitations in language that

supports decisions and action.

NLQ and Agentic AI | 20%: Develop and improve grounded NLQ applications, data science copilots, reusable

agent skills, and multi-step AI workflows for healthcare questions and recurring technical work. Contribute to

internal tools that accelerate development and test whether outputs are accurate, useful, and reproducible.

Applied Data Science and Experimentation | 20% : Apply statistical analysis, machine learning, natural

language processing, behavioral segmentation, and other appropriate techniques to healthcare and product

questions. Establish baselines, analyze user journeys and cohorts, design experiments, compare solution

options, document assumptions, and communicate limitations.

Model and Agent Lifecycle | 15% : Support models and AI agents from experimentation through deployment

and monitoring. Use validation checks, interaction patterns, feedback, task outcomes, and error analysis to

monitor adoption and performance drift and improve reliability, explainability, security, and user experience.

Data Preparation and Feature Development | 10% : Use SQL and Python to explore, prepare, and validate

claims, EHR, member, quality, and operational data. Develop reproducible modeling datasets and features,

assess data quality and bias, and use governed metrics, semantic models, metadata, and business definitions

to ground NLQ and agentic solutions in consistent information.

Continuous Learning and Knowledge Sharing | 10% : Participate in peer reviews, document methods, seek

feedback, share knowledge with teammates, and stay current with developments in data science, generative

AI, agentic systems, healthcare AI, and responsible AI.

Primary Responsibilities

Consult with business, clinical, and technical partners to clarify needs, frame healthcare problems,challenge assumptions, and define testable hypotheses and measurable success criteria.
Use SQL and Python to explore and prepare data, engineer features, perform statistical analysis,develop models, automate workflows, and validate results.
Develop grounded NLQ applications, data science copilots, and agentic workflows using appropriatemachine learning, natural language processing, retrieval, and tool-use techniques.
Evaluate models and agents for accuracy, task completion, consistency, source quality, latency, cost,safety, and user value; investigate failures and recommend improvements.
Analyze privacy-approved interaction data to identify behavioral segments, unmet needs, and recurringfailure patterns, then translate those findings into evaluation cases and product hypotheses.
Support experiments, pilots, and cohort analyses that measure whether product changes improve tasksuccess, adoption, trust, and business or clinical outcomes.
Apply responsible AI, security, data-minimization, de-identification, access, and retention practices tohealthcare data and product telemetry.
Use approved AI coding assistants responsibly and, under guidance, help turn repeatable work intoreusable prompts, agent skills, templates, or internal AI workflows for data science and analytics teams.
Develop reusable modeling datasets, features, metrics, tests, documentation, and monitoring controlswhile participating in source control, code review, deployment, and production support.
Present findings, assumptions, limitations, options, and recommendations clearly so technical and non-technical partners can make informed decisions and take action.

Strongly Preferred Qualifications

We value demonstrated ability, continuous learning, and collaborative problem-solving. Candidates are not

expected to bring every qualification.

Proficiency in Python and SQL for data exploration, feature engineering, statistical analysis, modeling,and automation.
Academic or professional experience with statistical analysis, experimentation, classification, regression,natural language processing, or related machine learning methods, including evaluation throughquantitative metrics and error analysis.
Strong problem-solving and communication skills, including the ability to investigate unexpectedresults and explain methods, assumptions, limitations, and recommendations to non-technical partners.
Experience working collaboratively through source control, code review, documentation, and testing.
Familiarity with AI coding assistants and the judgment to review, test, and refine AI-generated code ortechnical recommendations.

Ideal Candidate Demonstrates

Experience using NLQ applications, AI assistants, or coding copilots and understanding concepts suchas prompting, grounding, retrieval, tool use, structured outputs, and hallucination risk; interest inlearning to build reusable agent skills is important.
Experience evaluating generative AI or analyzing product telemetry, user journeys, cohorts, behavioralsegments, and experiments to improve a digital or AI-enabled product.
Experience with feature engineering, experiment design, model selection, model validation, orinterpretable machine learning; familiarity with semantic models and governed metrics is beneficial forNLQ work.
Familiarity with healthcare data and its secure use, including claims, electronic health records, memberdata, quality measures, data classification, masking, role-based access, and protected healthinformation.
Experience with Snowflake or another cloud data platform, including deployment, monitoring,automated testing, CI/CD, or production support for data science and machine learning solutions.
Curiosity about how people ask questions and make decisions, coupled with sound judgment aboutwhen generative AI, machine learning, statistical analysis, or a simpler solution is the best fit.

Belonging Statement

We believe that all people should feel welcomed, valued, and supported.

QUALIFICATIONS

EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification
EXPERIENCE - 3 Years of Experience

As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

About employer

Report this job