Uber Senior Data Analyst ML Security 

United States, West Virginia 

465802447

What you’ll do:

• Develop an in-depth understanding of Engineering Security's rhythm of business and share strategic insights with senior leadership to influence decision making
• Design, develop, and maintain data pipelines and complex queries using Python and SQL to ensure the accuracy and availability of data
• Build executive-level dashboards on Tableau to facilitate real-time data-driven decision-making and provide actionable insights
• Build and deploy statistical and machine learning models for a range of applications in the Engineering Security space
• Develop executive-level communications and presentations, translating complex data analysis into clear, concise, and impactful insights for Uber's senior leadership team.

Basic Qualifications:

• Undergraduate and/or graduate degree in math, statistics, computer science, engineering or other quantitative fields (or equivalent work experience)
• 4+ years of experience as a data analyst
• Strong proficiency in Python and SQL
• Extensive experience with Tableau or similar data visualization tools
• Strong understanding of statistical analysis and machine learning techniques, with a proven track record of deploying models
• Experience with ML Ops frameworks such as MLflow, Google Vertex AI, or similar.
• Exposure to cloud technologies such as AWS, GCP, or Azure.

Preferred Qualifications:

• Experience implementing LLMs or similar models into data analysis use cases
• Knowledge of additional programming languages such as R or Java

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .