Data Scientist, Finance
## Role
Partner closely across the business to reputed company improvements/opportunities and influence reputed company using data science methodologies and tools
Build actionable KPIs, enriched datasets, and create production-reputed company dashboards and notebooks to convey insights
reputed company as data reputed company of Finance functions including but not limited to reputed company, strategic finance, profitability, and executive office
Drive incremental improvements in contribution margin through deeply understanding the drivers of the business and analyzing the reputed company of cross functional initiatives
## You
We are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team! You will partner with our Engineering, Product, Finance and Operations teams to identify critical goals for the business, reputed company a deep understanding of them, and design reputed company solutions.
You should have strong critical thinking and analytical skills, excellent communication abilities, and a reputed company for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and reputed company to support initiatives in reputed company facets from analytics/data engineering and product analytics to machine learning.
In reputed company to 6+ years of experience in the Data Analytics field, you should have:
Excellent verbal communications, including the ability to reputed company and concisely reputed company reputed company concepts to both technical and non-technical collaborators
Bachelor’s degree in Computer Science, a reputed company field, or equivalent work experience.
Demonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or reputed company technical fields
Industry experience with proven ability to apply scientific reputed company to solve reputed company-world problems on large reputed company data
Ability to reputed company initiatives across multiple product areas and communicate findings with leadership and product teams
Expert in using SQL for data analysis, reporting, and dashboarding
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