Data Scientist II
3 weeks ago
Job Summary
We are seeking a highly skilled Data Scientist II to join our team at Brex. As a key member of our data science team, you will be responsible for designing and implementing complex statistical models and experiments to analyze information on Brex product, business, or financial data.
Key Responsibilities
- Utilize SQL to clean, manipulate, and analyze large, complex financial and other technology data sets.
- Build new data features using best practice data modeling techniques and add to the existing data lake to improve data quality.
- Collaborate closely with engineers to ensure data is instrumented and tracked for core product areas.
- Reconcile crucial data integrity issues in collaboration with business stakeholders and engineers across broad data domains.
- Maintain and improve the quality of the team's data science and analysis outputs by producing high-quality code and analysis.
- Define team and company KPIs for product and use analysis and forecasting to advance team and organization level goals.
- Research, analyze, and recommend actionable solutions to nebulous business and product problems based on often unclean data.
- Design complex statistical models and/or experiments to analyze information on Brex product, business, or financial data.
- Generate and maintain reports and analytics dashboards for internal and external consumers.
- Execute, analyze, and interpret the results of statistical and modeling experiments across our product.
- Report results and communicate effectively with cross-functional teams to resolve key business problems and data issues.
- Present analysis and model findings to senior stakeholders through compelling storytelling to help drive strategic decisions.
Requirements
- Bachelor's degree in data science, statistics, mathematics, or a related field.
- Three years of experience in the job offered or in a data science-related occupation.
- Minimum one year of experience required in each of the following skills: manipulation of large data sets using SQL, coding in Python, machine learning packages including sklearn or pytorch, data modeling, ETL/ELT for large data sets, data analytics using mathematical and statistical inference, predictive modeling, git and command line, data scaling using Airflow, AWS, or GCP, data wrangling using Snowflake or BigQuery.
Alternate Requirements
- Five years of experience in the job offered or in a data science-related occupation.
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