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Mid-Level Machine Learning Data Scientist - SYSTOLIC
Data Scientist
Mid-level data scientist developing statistical, graph-based, and machine learning models for predictive analytics, cleaning heterogeneous data, and creating visualizations using Python, R, MATLAB, SQL, Elasticsearch, and Amazon OpenSearch.
About the role
Key Responsibilities
- Design and implement statistical, graph-based, and machine learning algorithms to extract insights from complex datasets.
- Clean, transform, and structure disparate data sources, ensuring high data quality for analysis.
- Develop interactive visualizations and dashboards to communicate findings to technical and non‑technical stakeholders.
- Translate qualitative mission processes into quantitative models and prototype software solutions.
- Leverage Elasticsearch and Amazon OpenSearch for efficient data retrieval and analysis.
- Collaborate with cross‑functional teams to integrate models into production pipelines.
Requirements
- Proven experience with Python, R, MATLAB, and SQL in a data science context.
- Strong background in machine learning, statistical modeling, and graph analytics.
- Hands‑on experience with Elasticsearch, Kibana, and Amazon OpenSearch.
- Excellent problem‑solving skills and ability to translate business requirements into technical solutions.
- Effective communication skills for presenting complex analyses to diverse audiences.
Skills
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