Data Scientist / Senior Data Scientist
San Francisco, CA; Seattle, WA; New York, NY; Los Angeles, CA; Chicago, IL; Austin, TX; Washington D.C.
USD 124K-271K Senior-level Full Time
Tasks
- Analyze large datasets
- Apply caching strategies partitioning and consistency tuning
- Architect multi region distributed systems
- Build SQL queries
- Build analytics experiments and reports
- Build dashboards
- Create data visualizations
- Create solutioning playbooks decision logs and architecture documentation
- Design distributed data access layers
- Design scalable fault tolerant distributed databases
- Drive operational best practices for observability schema design cost optimization
- Ensure high availability low latency fault tolerance
- Improve storage abstraction layer best practices
- Mentor data scientists
- Optimize data models performance
- Perform A/B testing
- Perform capacity planning
- Run hypothesis testing
- Work with engineering on data modeling requirements
- Work with engineering on logging
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Apache Cassandra | B testing | Caching | Cohort Analysis | Data Visualization | Distributed Systems | DynamoDB | ETL | Fault Tolerance | Funnel Optimization | Hypothesis Testing | Kafka | Latency optimization | Looker | Memcached | Multi-region | Multi-region systems | NoSQL | Partitioning | Python | R | Redis | Regression Analysis | Replication | SQL | ScyllaDB | Series analysis | Tableau | Throughput Optimization | Time Series | Time Series Analysis | Tunable consistency | User Segmentation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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