Job Title: Data Scientist
\nAbout the Position
\nAs a Data Scientist on the platform prediction team, you will translate our probability of success predictions into measurable portfolio-level outcomes. You will architect core systems that let us rigorously evaluate signals from our AI-driven predictions in public and private equities and our internal portfolio.
\nThis role sits at the intersection of quantitative finance, healthcare data, and AI-driven drug development. If you're excited about applying portfolio construction and risk management fundamentals to one of the most consequential prediction problems in healthcare, this is the role.
\nResponsibilities
\nAbout You
\nWe are looking for a highly motivated and experienced Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and software development, with a proven track record of delivering high-quality results in a fast-paced environment.
\nRequirements
\nPreferred Qualifications
\nTotal Compensation Range: $154,500 - $202,000
\n**Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills & experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!
\n**Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate.
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\nBrex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.
\nTens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
\nWorking at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.
\nWe’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream.
\nWe make this a reality by empowering you with the tools, resources, and support you need to grow your career.
\nData at Brex
\nThe Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations.
\nOur Data Scientists, Analysts, and Engineers work together to make data,and insights derived from data,a core asset across the company.
\nWhat you’ll do
\nAs a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex.
\nYou will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses.
\nThis is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.
\nWhere you’ll work
\nThis role will be based in our New York office.
\nWe are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home.
\nWe currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.
\nAs a perk, we also have up to four weeks per year of fully remote work!
\nResponsibilities
\nApply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.
\nPerform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.
\nDevelop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.
\nCollaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.
\nImplement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.
\nPartner with various departments,including Sales, Operations, Product, and Finance,to understand their data needs and deliver tailored analyses and reporting that support strategic planning.
\nContribute to the automation of recurring analyses and reporting workflows using Python.
\nRequirements
\n3+ years of experience in data analytics or a related role in a professional setting.
\n2+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.
\nFluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).
\nExperience with Python for data analysis, automation, or scripting.
\nExperience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).
\nStrong quantitative and analytical skills with a demonstrated ability to translate data into business insights.
\nStrong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.
\nExperience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.
\nBonus points
\nFamiliarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
\nFamiliarity with dbt for data modeling and transformation.
\nExposure to data pipeline orchestration tools (e.g., Airflow).
\nExperience in fintech, financial services, or payments.
\nComfort operating in a fast-paced, high-growth environment with evolving priorities.
\nCompensation
\nThe expected salary range for this role is $93,600 - $117,000.
\nHowever, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.
\nDepending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
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\nTens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
\nWorking at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry.
\nWe’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream.
\nWe make this a reality by empowering you with the tools, resources, and support you need to grow your career.
\nData at Brex
\nThe Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations.
\nOur Data Scientists, Analysts, and Engineers work together to make data,and insights derived from data,a core asset across the company.
\nWhat you’ll do
\nAs a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex.
\nYou will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses.
\nThis is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.
\nWhere you’ll work
\nThis role will be based in our San Francisco office.
\nWe are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home.
\nWe currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday.
\nAs a perk, we also have up to four weeks per year of fully remote work!
\nResponsibilities
\nApply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.
\nPerform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.
\nDevelop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.
\nCollaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.
\nImplement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.
\nPartner with various departments,including Sales, Operations, Product, and Finance,to understand their data needs and deliver tailored analyses and reporting that support strategic planning.
\nContribute to the automation of recurring analyses and reporting workflows using Python.
\nRequirements
\n3+ years of experience in data analytics or a related role in a professional setting.
\n2+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.
\nFluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).
\nExperience with Python for data analysis, automation, or scripting.
\nExperience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).
\nStrong quantitative and analytical skills with a demonstrated ability to translate data into business insights.
\nStrong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.
\nExperience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.
\nBonus points
\nFamiliarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
\nFamiliarity with dbt for data modeling and transformation.
\nExposure to data pipeline orchestration tools (e.g., Airflow).
\nExperience in fintech, financial services, or payments.
\nComfort operating in a fast-paced, high-growth environment with evolving priorities.
\nCompensation
\nThe expected salary range for this role is $93,600 - $117,000.
\nHowever, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.
\nDepending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
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\nAs a member of our Data organization, you will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.
\nResponsibilities:
\nRequirements:
\nBonus points:
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