Necessary skills for Data Scientist Executive: skills and requirements

General requirements of a Data Scientist Executive

• Master's degree in a quantitative field such as statistics, mathematics, or computer science.
• Minimum of 5 years of experience in data analysis and modeling, preferably in a corporate setting.
• Proficiency in programming languages such as Python or R, as well as experience with data manipulation and visualization tools.
• Strong understanding of statistical concepts and machine learning algorithms, with the ability to apply them to real-world business problems.
• Excellent communication and presentation skills, with the ability to effectively communicate complex data-driven insights to both technical and non-technical stakeholders.

Skills and Behaviours for a Data Scientist Executive

Big data
Apache Flink Kafka Spark
CRM
CRM
Data scrapping
Requests Scrapy lxml
Data statistics
Numpy SciPy mlpack
Data visualization
Power BI Tableau
Database
Database maintenance Database queries MySQL SQL
Networks administration
Firewalls Next-Generation Firewalls, NGFW, NGFWs WANs
Operating systems
Linux Windows
Programming languages
C++ Python
Project management
Project Coordination
Software architecture
Software architecture
Analytical thinking
Gathering information and data Identifying cause and effect relationships Think analytically
Collaboration & Teamwork
Working with others towards common goals
Customer Orientation
Demonstrating positive attitude towards resolution
Problem solving
Identifying and anticipating problems Implementing solutions Making fact based decisions to solve problems

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