Directing the data gathering, data mining, and data processing processes in huge volume; creating appropriate data models.
Exploring, promoting, and implementing semantic data capabilities through Natural Language Processing, text analysis and machine learning techniques.
Leading to define requirements and scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies.
Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses.

Requirements

Typically, a Bachelors, Masters, or PhD degree in Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree.
Working experience applying SQL and Python (NumPy, SciPy, pandas, etc.) programming to solve business challenges.
Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.)
In-depth technical and problem-solving skills and evidence of continuous learning in the analytics field
Working experience with version control / repositories such as GitHub
Experience operating in an Agile environment
Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
Excellent organizational skills, with the ability to manage multiple requests and priorities simultaneously.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data gatheringdata miningdata processingdata modelingNatural Language Processingtext analysismachine learningSQLPythondata visualization

Soft Skills

initiativeinterpersonal skillscommunicationorganizational skillsproblem-solvingcontinuous learning