Brex
Data Scientist II
Brex, Salt Lake City, Utah, United States, 84193
Utilize SQL to clean, manipulate, explore, and analyze large, complex financial and other technology data sets spanning a wide variety of sources from different business sources. Build new data features using best practice data modeling techniques, adding to the existing data lake in order to improve the overall data quality and empower the business to use data for analysis and self-serve. Collaborate closely with engineers to ensure data is instrumented and tracked for core product areas, in order to track core metrics. 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, as well as contributing to improved processes. 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, utilizing mathematical programming, optimization, and/or financial analytics principles. 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 such as operations, marketing, finance, accounting, and product to resolve key business problems and data issues. Present analysis and model findings to senior stakeholders through compelling storytelling to help drive strategic decisions.
*May telecommute.
Minimum Requirements:
Education: Bachelor's degree in data science, statistics, mathematics, or a related field.
Experience: Three (3) years of experience in the job offered or in a data science-related occupation. Any suitable combination of education, training, or experience is acceptable.
Skills: Minimum one (1) 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:
Education: None.
Experience: Five (5) years of experience in the job offered or in a data science-related occupation. Any suitable combination of education, training, or experience is acceptable.
Skills: Minimum one (1) 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.
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*May telecommute.
Minimum Requirements:
Education: Bachelor's degree in data science, statistics, mathematics, or a related field.
Experience: Three (3) years of experience in the job offered or in a data science-related occupation. Any suitable combination of education, training, or experience is acceptable.
Skills: Minimum one (1) 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:
Education: None.
Experience: Five (5) years of experience in the job offered or in a data science-related occupation. Any suitable combination of education, training, or experience is acceptable.
Skills: Minimum one (1) 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.
#InformationTechnology