精选Data岗位 | Amazon、CrowdStrike、BMO等公司发布新岗位！

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• Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

• Knowledge of risk management metrics, KPIs and KRIs.

• Knowledge of industry trends and regulatory requirements for risk reporting.

• Product knowledge for the designated business/portfolio.

• Knowledge of risk management theory, processes and portfolio management reporting techniques.

• Knowledge of reporting & analytics concepts and applications.

• Knowledge of risk systems technology.

• Technical proficiency gained through education and/or business experience.

• Verbal & written communication skills - In-depth.

• Collaboration & team skills - In-depth.

• Analytical and problem solving skills - In-depth.

• Influence skills - In-depth.

• Data driven decision making - In-depth.

• Currently enrolled in a Bachelor’s/Master's (or higher) in analytically rigorous field such as Data Science, Statistics, Computer Science, Industrial Engineering, Econometrics or other equivalent discipline with a graduation date after May/June 2024

• Must be eligible and available for a full-time (40h / week) internship between July 10 to December 15, 2023

• Proficient understanding of data modelling, descriptive statistics, and SQL

• Excellent written and verbal communication skills and the ability to succinctly summarize key findings

• Working knowledge of Python or R for exploratory data analysis and modeling

PREFERRED QUALIFICATIONS

• Knows how to ingest, process, persist, and analyze data with a strong technical insight to address customer challenges

• Ability to work successfully in an ambiguous environment, to meet tight deadlines and prioritize workload even when faced with conflicting priorities

• Analytically Mine large scale and high dimensional data, identify patterns, and visualize trends

• Analyze cloud logs to identify user behavior that may pose risk

• Design algorithms for vulnerability patch prioritization

• Design algorithms to mitigate customer churn and identify upsell opportunities

• Create predictive models using supervised learning techniques to detect and stop the most sophisticated threats

• Innovate new semi-supervised and online learning techniques to enhance our threat detection capabilities and reduce nuisance false positives for our customers.

• Work on cutting edge techniques to automate training of ML and AI models on large data

https://crowdstrike.wd5.myworkdayjobs.com/en-US/crowdstrikecareers/job/USA---Remote/Data-Science-Intern--Summer-2023---Remote-_R12707?q=2023

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