Sr Data Scientist I

· Remote

Location

Remote

Type

Full Time

Job Description

Sr Data Scientist I

Posted Yesterday
Be an Early Applicant
Lehi UT USA
In-Office
Senior level
Healthtech • Payments • Software
The Role
The role involves designing and developing machine learning models conducting data analysis collaborating with engineering teams and mentoring junior data scientists to enhance business insights.
Summary Generated by Built In

ABOUT THIS POSITION

Designs develops and programs methods processes and systems to consolidate and analyze unstructured diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs algorithms and automated processes to cleanse integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product service and business managers. Incumbents whose primary role is technical and focused on data storage warehousing and systems architecture should be matched to Database Engineering or Storage Engineering. Incumbents whose focus is the quantitative analysis of complex business problems and issues using data from internal and external sources to provide insight to decision-makers should be matched to Business Intelligence. Incumbents whose primary role is technical and focused on designing and building system-generated reports reporting tools and dashboards for data generation should be matched to Data Informatics. Incumbents whose focus is primarily on experimental design and advanced or complex statistical analysis and modeling of datasets should be matched to Statistician/Mathematician. This is a product engineering role in which employees work with multiple types of business data. Incumbents whose focus is primarily on analysis and modeling of financial marketing or pricing data should be matched to Finance Market Research or Pricing as appropriate. May be internal operations-focused or external client-focused working in conjunction with Professional Services and outsourcing functions.

WHAT YOU'LL DO

* Design develop and implement machine learning models and algorithms to solve complex business problems including predictive modeling recommendation systems segmentation and anomaly detection.
* Conduct in-depth exploratory data analysis to identify trends patterns and insights from large diverse datasets.
* Translate business problems into well-defined data science projects including defining objectives metrics and success criteria.
* Collaborate with engineering teams to deploy and maintain data science solutions in production environments ensuring scalability and reliability.
* Communicate complex analytical findings and recommendations clearly and concisely to technical and non-technical stakeholders through presentations reports and dashboards.
* Develop and maintain robust data pipelines and perform data cleaning transformation and feature engineering to prepare data for model building.
* Evaluate and monitor the performance of deployed models iterating and refining them to ensure optimal results.
* Stay up-to-date with the latest advancements in data science machine learning and artificial intelligence and proactively propose new technologies and methodologies.
* Mentor junior data scientists and contribute to a culture of continuous learning and knowledge sharing within the team.
 

WHAT YOU'LL NEED

* Master's or Ph.D. in a quantitative field such as Computer Science Statistics Mathematics Physics Engineering or a related discipline.
* 4-7+ years of hands-on experience in a data science role with a strong track record of developing and deploying machine learning models.
* Proficiency in Python (e.g. scikit-learn TensorFlow PyTorch pandas numpy) and SQL is essential.
* Demonstrated experience with big data technologies (e.g. Spark Hadoop AWS EMR GCP Dataflow).
* Strong understanding of statistical modeling machine learning algorithms and experimental design (A/B testing).
* Experience with data visualization tools (e.g. Tableau Power BI Matplotlib Seaborn).
* Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
* Strong communication and presentation skills with the ability to explain complex technical concepts to diverse audiences.
* Experience with cloud platforms (AWS GCP or Azure) and MLOps practices is a plus.

ABOUT WAYSTAR

Through a smart platform and better experience Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar’s healthcare payments platform combines innovative cloud-based technology robust data and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers 1K+ hospitals and health systems and is connected to over 5K commercial and Medicaid/Medicare payers.  We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work always; making it happen; and joyful optimistic & fun.

Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500000 providers 1000 health systems and hospitals and 5000 payers and health plans. For more information visit waystar.com or follow @Waystar on Twitter.  

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members starting with 3 weeks + 13 paid holidays including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate value and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race color religion age sex national origin disability status genetics marital status protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

This applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.

Top Skills

Aws Emr
Gcp Dataflow
Hadoop
Matplotlib
Numpy
Pandas
Power BI
Python
PyTorch
Scikit-Learn
Seaborn
Spark
SQL
Tableau
TensorFlow
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The Company
HQ: Louisville KY
967 Employees
Year Founded: 2018

What We Do

Waystar provides market-leading technology that simplifies and unifies healthcare payments. Our cloud-based platform streamlines workflows and improves financials for healthcare providers of all kinds and brings more transparency to the patient financial experience. The Waystar platform is used by more than 450k providers 750 health systems and hospitals and 5k health plans—and integrates with all major HIS and practice management systems. The financial and administrative challenges facing healthcare providers are daunting. Waystar’s technology platform simplifies and unifies healthcare payments across the revenue cycle. We empower healthcare organizations to automate manual work gain insight into processes and performance and ultimately collect more revenue. At Waystar we know there’s a better more efficient way forward. Let’s climb the mountain ahead of us to reach new heights in healthcare.

Waystar Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 3 days a week
HQLouisville KY
Duluth GA
Lehi
Learn more

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Date Posted

04/16/2026

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