Data Scientist identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Being a Data Scientist interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Additionally, Data Scientist designs, develops, and implements the most valuable data-driven solutions for the organization. May require a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager. The Data Scientist work is closely managed. Works on projects/matters of limited complexity in a support role. To be a Data Scientist typically requires 0-2 years of related experience. (Copyright 2024 Salary.com)
Data Scientist
Remote out of Indianapolis, IN
This is an exciting time to join our Healthcare client! You will help the team continue to progress through the data maturity model using data science methods and principles to generate deeper insights from a great variety of internal and external data sources. To achieve this, you will identify needs, lead the design and implementation of analytical solutions, provide advice and consulting support to our key business stakeholders, and demonstrate value by executing proof-of-concept initiatives and prototyping analytical solutions to answer business questions.
As a Data Scientist, you will position data science as a key competency within the enterprise and be responsible for creating value from data assets using advanced analytics capabilities including data science, machine learning, and artificial intelligence methodologies to identify critical business risk and opportunities for Roche.
You have an overall understanding of the key challenges in our industry. You have experience in the areas of analytics, data transformation, and data science. You are passionate about applying state-of-the-art analytical methods, as well as cutting edge machine learning algorithms to find solutions to complex business problems.
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