Data Scientist ( TelecomRAN exp is must )
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Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Job Summary
Required Qualifications:
Job Title:Senior Data Scientist
Job Responsibilities:
- Hands-on developer in building models in complex data environments with unambiguous requirements and enjoys data.
- Advance causal inference techniques to improve outage predictions measurement including uplift modeling propensity scoring and Bayesian methods.
- Develop forecasting models to predict outages performance resource allocation impacts and long-term customer impacts for operations teams.
- Enhance ad testing methodologies including A/B testing synthetic control experiments and incrementally testing to measure efficiency accurately.
- Optimize operational team decisioning using reinforcement learning Bayesian optimization and econometric modeling.
- Work closely with data engineers to scale and automate model deployment integrating ML solutions into production environments.
Required Qualifications:
- Bachelors Degree Quantitative Field (math statistics economics computer science physics engineering etc.) (Required)
- Masters/Advanced Degree Quantitative Field (math statistics economics computer science physics engineering) (Preferred)
- Proven experience in Fault Prediction models with a focus on attribution modeling causal inference and model mix optimization.
- Strong background in machine learning fault metrics and statistical modeling RAN applications.
- Expertise in Python SQL and cloud platforms (Azure Snowflake Databricks) for scalable modeling and data processing.
- Experience with experimental design and incrementality testing in telecom RAN networking subject areas.
- Ability to communicate complex data science concepts to both technical and non-technical stakeholders influencing business decisions
Required Experience:
Manager
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
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