How much does a Scientist make in the United States?

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. 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. Designs, develops, and implements the most valuable data-driven solutions for the organization. Typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager or head of a unit/department. Work is highly independent. May assume a team lead role for the work group. A specialist on complex technical and business matters. Typically requires 7+ years of related experience. View Data Scientist IV Salary

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. 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. Designs, develops, and implements the most valuable data-driven solutions for the organization. Typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager. Occasionally directed in several aspects of the work. Gaining exposure to some of the complex tasks within the job function. Typically requires 2 -4 years of related experience. View Data Scientist II Salary

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. 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. Designs, develops, and implements the most valuable data-driven solutions for the organization. Typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager or head of a unit/department. Works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Typically requires 10+ years of related experience. View Data Scientist V Salary

Develop and conduct basic and applied research projects. Utilize advanced technologies to study biological, molecular and chemical processes. Synthesize and analyze DNA, proteins and other molecules to develop new drugs, medical protocols, and products. Prepare technical papers and reports on findings. Requires a PhD in their field of specialty. Typically reports to a manager or head of a unit/department. Typically requires 4 to 7 years of related experience. Contributes to moderately complex aspects of a project. Work is generally independent and collaborative in nature. View Scientist III - Biotech Salary

Develops and executes the data science vision, strategy, and capacity to support organizational long-term, short-term, and mission-critical goals. Provides the organization with data insights, analytics, and tools to achieve business goals, foster innovation, and promote data-driven decision-making. Engages stakeholders and champions the design and development of data science initiatives. Researches and incorporates emerging technologies and methods to continuously improve analytic capabilities and enhance capacity to provide valuable results. Builds team capability with mentoring, coaching, and professional development. Possesses a deep and broad knowledge of data science, analytical concepts and methods, and business operations. Typically requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to top management. Manages a business unit, division, or corporate function with major organizational impact. Establishes overall direction and strategic initiatives for the given major function or line of business. Has acquired the business acumen and leadership experience to become a top function or division head. View Top Data Scientist Salary