Job Description
Entry level Data Scientist role for a self‑motivated individual passionate about innovation and cutting‑edge technology.
Qualifications
- Experience in SQL (e.g., HIVE, PostgreSQL, MSSQL) and either Python or R for statistical application development.
- Experience in a Hadoop environment and/or statistical development tool (e.g., RapidMiner, Knime) is a plus.
- Develop and communicate deep understanding of client needs, perform analytical deep dives to identify problems, opportunities and actions required.
- Develop reproducible and deployable statistical applications on platforms such as R/Python/Spark using techniques such as regression, SVM, and neural networks.
- Implement processes that improve data quality.
- Conduct statistical analyses to develop strategies.
- Document all processes and research.
- Build new algorithms and train models.
- Execute projects involving analytics.
- Identify data patterns and trends.
- Analyze data to develop predictive models.
- Create, manage, and maintain analytically rigorous data.
- Possess a solid machine learning foundation.
- Proven record of successful statistical product delivery.
- Execute health insurance use cases via statistical applications such as R or Python.
- Efficiently access data via multiple vectors (e.g., NFS, FTP, SSH, SQL, Sqoop, Flume, Spark).
- Significant experience with SQL and working with large datasets.
- Work with cross‑functional teams (product management, engineering, senior executives) to rapidly execute and iterate.
- Note anomaly detection and run diagnostics.
- Perform graphical model analysis.
- Strong verbal and written communication skills.