Staff Data Scientist
Seattle
Confirmed live in the last 24 hours
Grid

11-50 employees

Helps Americans reclaim overpaid taxes immediately
Company Overview
Grid is a company that is committed to empowering the average American by helping them reclaim overpaid taxes in real-time, thereby providing immediate financial relief. Their unique approach to tax refunds has already positively impacted thousands of individuals, demonstrating their industry leadership and technical innovation. The company's culture is centered around making a tangible difference in people's lives, making it an inspiring place to work.
Financial Services
Data & Analytics

Company Stage

Series A

Total Funding

$31.5M

Founded

2016

Headquarters

Oakland, California

Growth & Insights
Headcount

6 month growth

0%

1 year growth

42%

2 year growth

131%
Locations
Seattle, WA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Science
CategoriesNew
AI & Machine Learning
Data & Analytics
Requirements
  • Proven experience in data science, including a strong background in statistical inference, machine learning
  • Ability to work independently and take ownership of projects, showcasing a proactive approach to identifying key leverage points for data products
  • Proficiency in modern machine learning techniques, such as Model Evaluation and Validation, Deep Learning and Time Series Analysis, Logistic Regression, Naive Bayes, Random Forest Models
  • Confidence to prioritize work and deliver demonstrable results on a tight cadence
  • Demonstrated experience or understanding of the financial industry, especially in the context of building and scaling FinTech products
Responsibilities
  • Perform data research and analysis using Grid's proprietary dataset as well as other relevant sources
  • Develop and validate models that enable strategically relevant business objectives, such as enabling growth, mitigating fraud, controlling risk, etc.
  • Iterate on new and existing models based on feedback from the team and real-world performance
  • Collaborate with data engineers and product managers to help translate your work into production-grade, high-scaled data products
  • Present your findings and communicate with members of the team with varying levels of technical depth in data science
  • Help build out data science as a team and practice at Grid
Desired Qualifications
  • Curiosity and optimism: People who are constantly asking why the world around them works the way it does, and who have the will to change it