Sr. Data Scientist
Seattle, WA, United States; United States
USD 119K-199K (estimate) Senior-level Full Time
Tasks
- Collaborate to deploy analytics through product lifecycle
- Communicate insights to technical and non-technical audiences
- Conduct time series analysis forecasting simulation and optimization
- Derive insights from large and unstructured data
- Develop predictive machine learning and optimization solutions
- Maintain knowledge of emerging data science and AI ML techniques
- Perform data wrangling exploratory analysis hypothesis testing and modeling
- Translate business problems into data science solutions
- Write production level analytics code
Perks/Benefits
- 401k match
- Dental insurance
- Employee assistance program
- Health insurance
- Paid caregiver leave
- Paid time off to volunteer
- Vision insurance
Skills/Tech-stack
API | AWS | Azure DevOps | Classification | Clustering | Code review | Continuous Deployment | Data Analysis | Data Wrangling | Docker | Exploratory Data Analysis | Forecasting | GitHub | GitLab | Hypothesis Testing | Machine Learning | Optimization | Predictive Modeling | Python | Regression | SQL | Series analysis | Simulation | Spark | Statistical Analysis | Testing | Time Series | Time Series Analysis
Education
Master of Engineering | Master of Science | Master of Science in Applied Mathematics | Master of Science in Computer Science | Master of Science in Data Science | Master of Science in Economics | Master of Science in Operations Research
Roles
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