Data Analyst

Job Description

Job Title: Data Analyst

Location:

• Palo Alto, CA.
• Remote options available.

Job Types: Full-time, CTH

What we are looking for:

• Comfort with uncertainty
• Really strong communication skills!
• A passion for rapid growth constant personal/professional development
• A passion for “learning while doing”; and an ability to “self-learn”
• A team player
• A passion for helping others!

• Extensive expertise in mathematics statistics, machine learning, economics, or other technical/abstractfield of study
• Extensive experience creating, docimenting, and maintaining data models for large-scale multi-database (e.g. Postgres, MongoDB, Neo4j, etc.) & multi-cloud (e.g. AWS, GCP, Digital Ocean, on-prem, etc.) operations.
• Extensive experience with large-scale, live, low-latency data visualization techniques (e.g. data deferring, caching, rolling cluster hot-swaps, etc.), technologies, and BI tooling (e.g. Tableau, PerScope, ELK Stack, Metabase, visdon, etc.)
• Extensive production experience or comfort with Python, Rust, and/or JavaScript
• Exensive large-scale production experience or comfor with data acquisition, scraping, and crawling techniques (e.g. Caching, Rotating Proxies/IPs/Devices/Browser,CAPTCHa Breakers, etc.), technolofies, and tooling (e.g. Kubernetes, Docker, Puppeteer, Selenium, etc.)
• Extensice understanding of data lifecycles and vest practices (e.g. lineage, governance, privacy, retention, anonymity, etc.)
• Experience with Machine/Deep Learning techniques, technologies, and tooling (e.g. PyTorch, ONNX, TensorFlow, etc.)
• Extensive experience with large-scale production data analysis, predictive modeling, and anomaly detection
• Extensive experience with large-scale data wrangling, cleaning, mapping, etc.

• Experience with GPU, TPU, or QPU accelerated data processing
• Experience or understanding of distributed or peer-to-peer storage systems (e.g. hash Networks, DAT, etc.)