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Senior Data Scientist
Karoo Health. Lead the design, construction, installation, and optimization of highly reliable, scalable, and secure data architecture .
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSBigQueryCloudPythonScalaSparkSQL
About the role
Key responsibilities & impact- Lead the design, construction, installation, and optimization of highly reliable, scalable, and secure data architecture
- Own the design and evolution of foundational healthcare data models and schemas using standards such as TUVA, OMOP, and FHIR
- Translate clinical, operational, product, and reporting needs into scalable table structures, entities, and relationships
- Build and maintain production-grade data pipelines that ingest, process, enrich, and normalize large volumes of healthcare data
- Ensure consistency, usability, and data integrity across downstream applications
- Establish and enforce data quality standards, monitoring, and validation processes
- Implement query tuning, indexing, and partitioning strategies to optimize data processing and retrieval
- Design and deploy scalable, secure cloud infrastructure using infrastructure-as-code practices
- Ensure compliance with healthcare data regulations and implement data security best practices
- Develop direct, bi-directional integrations with electronic medical record platforms
Requirements
What you’ll need- Deep, hands-on experience working with healthcare data, including healthcare data standards and common data models such as TUVA, OMOP, or FHIR
- Demonstrated experience designing core data models and schemas from scratch
- Experience mapping raw healthcare data into standardized healthcare data models
- Hands-on experience integrating directly with EMR/EHR platforms, ideally including eClinicalWorks, AthenaOne, Epic, or comparable systems
- Experience with healthcare data regulations such as HIPAA and HITRUST and data formats such as FHIR
- Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience
- Minimum 8 years of dedicated professional experience in a Data Scientist or Data Engineering role
- Expert proficiency in SQL and at least one programming language used for data processing: Python or Scala
- Deep experience designing and managing data warehouses such as Snowflake, Google BigQuery, or AWS Redshift
- Experience with data lake technologies such as S3 or Delta Lake
- Demonstrated hands-on experience with big data processing frameworks like Apache Spark or Dask
- Deep understanding of cloud platforms, preferably AWS, and cloud-native development including S3, Lambda, and RDS
- Hands-on experience with workflow orchestration tools such as Apache Airflow or AWS Step Functions
- Expert knowledge of system architecture, scalability, and performance optimization for data systems
- Experience with test automation, CI/CD, and DevOps best practices for data deployments
- Ability to work independently and make high-impact technical decisions
- Must be legally authorized to work in the United States and not require employer sponsorship now or in the future
- Include a description of why you’re interested in this role when applying
Benefits
Comp & perks- Competitive salary and equity in an early-stage startup
- Possibly fully remote work environment with flexible hours
- Health benefits
- Learning stipends
- Professional development support
- Collaborative and transparent company culture that values creativity and ownership
- Equitable compensation practices
- Employee resource groups
- Inclusive benefits