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)
Education, Certifications/Licenses:
Required:
Bachelor’s degree in mathematics, economics, engineering, computer science, or similar discipline.
Preferred:
Graduate degree in quantitative discipline
Related Work Experience:
Required:
2-3 years experience in data science, analytics, and modeling, preferably in the energy or finance industry.
Proven track record of model creation and management in a business environment.
Specific Skills & Knowledge:
Required:
Knowledge of data base management systems such as SQL Server, MySQL, or Microsoft Access
Experiences of machine learning and data visualization:
Strong experience in python, Power BI, predictive modeling
Experience with SQL required.
Proven record of experience working with large databases and use of statistical models for valuation and
prediction. Experience with Python required, experience with R or SPSS preferred but not required.
Demonstrate quantitative skills and ability to apply complex financial and statistical principles.
Ability to manage multiple projects at once with several departments and stakeholders in a timely fashion with measurable results.
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