Senior Data Scientist
Tasks
- Build data products from discovery through production and measurement
- Build production data pipelines and model integrations
- Communicate findings tradeoffs and recommendations to technical and non technical audiences
- Convert customer operations requirements into technical approaches
- Establish evaluation frameworks monitoring experimentation and A B testing
- Measure model performance against cost reliability on time delivery and operational intervention
- Model logistics constraints demand provider availability and service requirements
- Scope data science opportunities across pricing dispatch carrier selection ETA prediction routing marketplace balancing
- Serve models through APIs batch pipelines or real time decision systems
Perks/Benefits
- Dental insurance
- Equity
- Flexible paid time off
- Health insurance
- Quarterly Team Onsites
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | API Development | B testing | Data Pipelines | Experimentation | Geospatial analysis | MLOps | Machine Learning | Optimization Algorithms | Python | SQL | Series forecasting | Snowflake | Time Series | Time Series Forecasting
Education
N/A
Roles
Regions
Countries
States
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