Data Scientist

Summary

As a data scientist at a startup specializing in data products, I built end-to-end data processes, from ETL to machine learning model deployment, to help clients make data-driven sales decisions and measure productivity. While my title was Data Scientist, I acted as a Data Engineer, Data Scientist, and Software Engineer. Collaborating closely with cross-functional teams in product, engineering, and customer support, I ensured that our data product was useful and indispensable to our clients.

I hold a Data Science degree with a focus in quantitative social science from UC Berkeley, where I was top of my class with a perfect 4.0 GPA and received awards for my research with the UC Berkeley School of Public Health.

Expectations

I would like to have opportunities for growth and development in terms of technical skills and domain expertise. It is important to me that the work environment is collaborative and dynamic, allowing me to work with cross-functional teams and take on a variety of projects.

I also expect competitive compensation and benefits that reflect the value of my skills and expertise. This may include stock options, health insurance, and retirement plans. However, more than just compensation, I want to have meaningful work that aligns with my values and interests.

Employment Preferences
Expected Base Salary

**0,000 USD

Academic Degree
Experience

Total Professional Experience

3 years

Startup Experience

1 year

Big-Tech Companies

no experience

Enterprise Experience

1 year
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