精选Data岗位 | Amazon、HP、SoFi发布最新岗位！
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Ability to apply analytical and problem-solving skills.
Understanding of disparate unstructured and structured data in a distributed environment.
Understanding of structured and unstructured data and modern data transformation methodologies.
Ability to create basic models to pull insights from data.
Create stories and visualizations to describe and communicate data insights.
Demonstrates analytical and problem-solving skills.
Creative.
Good written and verbal communication skills; mastery in English and local language.
Scope & Impact
Collaborates with peers, junior engineers, data scientists and project team.
Supports projects requiring data engineering solutions expertise.
Education & Experience
Bachelor's or Master's degree in Data Science, Engineering, Computer Science, or equivalent.
Typically 0-2 years’ experience including graduate or postgraduate research.
Pursuing a BS/MS degree in Engineering, Data Science, Data Engineering, Mathematics, Statistics, Operations Research, Information Systems, Business Intelligence or related technical field
Exposure to best practices in data analytics and reporting; data integrity, data analysis, data mining, design of experiment, and documentation
Experience in writing ANSI SQL code in the creation of metrics and dashboards. Skills in SQL programming required
Experience working with Business Intelligent platforms such as Tableau or PowerBI
Experience with data analysis/statistical tools such as Python, R, SAS, or Matlab
Comfortable dealing with ambiguity and making headway in the face of uncertainty
Demonstrate proven success as both an independent performer and a contributing member of a high-performing team; show the ability to deep dive and develop innovative ideas for process challenges
PREFERRED QUALIFICATIONS
MS in Data Science, Statistics, Operations Research, or in highly quantitative field (e.g. Computer Science, Operations Research, Systems Engineering, Physics)
BS with 3 years of experience.
Enrolled in and undergraduate or MBA in Statistics, Information Systems, Mathematics, Data Science, or related fields
Strong analytical abilities and proficiency with SQL and have some exposure to Python/R
Understands the basics of Regression models and decision trees
Positive attitude, eagerness to learn new skills, tools and process
The fraud strategy analyst will be someone who is highly motivated and drives change, eager to learn, and able to work collaboratively in a complex and fluid environment.
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