Software Engineer Data Scientists

As a Data Engineer with expertise in Machine Learning, Spark, Scala, and Java, your responsibilities will include utilizing your Big Data experience and 3+ years of hands-on experience in Java, Python, Scala, Spark, and Machine Learning. Your role will involve data mining, data analysis, and gathering and processing raw data at scale. In this position, you will be expected to work closely with the engineering team to integrate and build algorithms. You will also be responsible for processing unstructured data into a suitable form for analysis, supporting business decisions with ad hoc analysis, and extracting data from relational databases. Additionally, you will manipulate and explore data using quantitative, statistical, and visualization tools. Your role will entail informing the selection of appropriate modeling techniques to ensure the development of predictive models using rigorous statistical processes. You will establish and maintain effective processes for validating and updating predictive models, analyze, model, and forecast health service utilization patterns and trends. Collaboration with internal business, analytics, and data strategy partners to enhance efficiency and increase the applicability of predictive models into core software products will be a key aspect of your responsibilities. You will perform statistical analysis to prioritize maximizing success and identify areas for improvement while communicating action plans. Furthermore, you will conduct strategic data analysis and research to support business needs, identify opportunities to enhance productivity through sophisticated statistical modeling, and explore data to improve business results. Developing an understanding of business processes, goals, and strategy to provide analysis and interpretation to management will be crucial in this role. Lastly, you will gain insight into business needs and perform necessary analysis through internal discussions, ensuring that your insights contribute to the continuous improvement and success of the organization.,