Senior/Lead Data Scientist
Summary
Experience sourcing, managing, and analyzing large datasets to provide solutions to complex business challenges. I am proficient in statistical measures, data visualization, and technical interpretation, which enables me to research innovative business solutions and deliver actionable insights. My experience spans diverse domains such as real estate, energy, transportation, and health & safety. I have experience in the end-to-end data science process, from problem formulation to model deployment.
Throughout my career, I have developed and deployed machine learning models in the cloud, utilizing tools like Azure and AWS. I have experience with various programming languages, including Python, R, and SQL, as well as with data platforms and tools such as Snowflake, and Databricks. With knowledge of agile methodology, coding standards, version control, testing, cloud infrastructure, model performance monitoring, and model deployment, I can tackle complex data challenges and deliver solutions that drive business success.
Some of my major achievements includes:
1. Effective use of survival analysis in real-estate industry to optimize rental yield and to predict monthly transaction volume
2. Model interpretation to make understand business users about impact of features on the predictions.
Expectations
To work on data science problems which requires end-to-end solutions. Flexible working hours, prefer hybrid roles, ready to relocate. Looking for either full-time roles or contracts with C2C arrangements.
Employment Preferences
Relocation destinations:
- Oakland, California, United States
- Charlotte, North Carolina, United States
- Houston, Texas, United States
Expected Base Salary
**0,000 USD
Expected Hourly Rate
**0 USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
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