Company
Healthcare
MedicalAssistant
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Medical Assistant. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. Build and optimize data models”
Industry & Context.
What They're Looking For.
Must Have
5+ years Python, SQL proficiency, Bachelor's degree in Statistics, Bachelor's degree in Computer Science, Bachelor's degree in Mathematics
Nice to Have
PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio
What You'll Do.
Develop and maintain data pipelines
Build and optimize data models
Design and implement ETL/ELT processes
Create and manage BI dashboards
Perform statistical analysis
Develop and deploy machine learning models
Collaborate with stakeholders to define data requirements
Ensure data quality and integrity
Monitor and troubleshoot data systems
Stay updated with emerging technologies
How You'll Work.
Team & Collaboration
Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders
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