Data Scientist

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. #J-18808-Ljbffr Noblesoft Solutions