Top Benefits
Health: medical, dental, vision, paramedical
Virtual health: nurses, doctors, mental care
Maternity/parental leave top‑up
About the role
Who you are
- 5+ years of experience delivering data science and machine learning solutions with demonstrated ownership of high-impact production models from problem definition through production and iteration
- Hands-on experience designing, building, and iterating on ranking, recommendation, or personalization models used in a production environment (e.g., offer ranking, next-best-action, feed ranking, eligibility routing)
- Strong proficiency in Python for data analysis, feature engineering, and modeling
- Advanced SQL skills, including complex joins and analytical queries across large datasets
- Deep experience with supervised learning, including handling class imbalance and model calibration
- Strong background in experimentation and A/B testing, including metric design, offline/online evaluation and interpretation
- Excellent communication skills — able to clearly explain complex models, trade-offs, and impact to technical and non-technical audiences
- Comfortable owning ambiguous problems end-to-end and driving alignment across stakeholders in fast-moving environments
- Experience with end-to-end ML workflows, including deployment and post-launch iteration
- Experience working with cloud-based data platforms (e.g., Snowflake, Databricks)
- Familiarity with dbt, PySpark, SparkSQL, or other distributed data processing tools
- Exposure to MLOps tools (e.g., MLflow, feature stores, monitoring frameworks)
- Experience working in fintech, credit, or consumer marketplaces
What the job involves
- As a Senior Data Scientist, you will play a critical role in shaping and delivering Borrowell’s core machine learning capabilities and influencing product direction through data-driven recommendations
- You will partner closely with Product, Business, Data, and Engineering leaders to design, build, and scale ML-driven systems that personalize the member experience, power our recommendation and ranking engines, and directly impact marketplace conversion and approval outcomes
- This is a hands-on, product-facing role with end-to-end ownership — from problem framing and model design to experimentation, measurement, and iteration in production
- This role is expected to operate as a technical leader, setting modeling direction and raising the bar for data science rigor across the organization
- During your first year, you can expect to:
- Own high-impact ML initiatives technical and product trade-off decisions – Lead the design and delivery of product ranking, intent prediction, and approval likelihood models that materially improve business KPIs
- Translate strategy into models – Work with Product and Business stakeholders to convert complex business goals into well-defined ML problems, success metrics, and experimentation plans
- Build, evaluate, and iterate on production models – Develop robust features, train and calibrate models, and continuously improve performance through rigorous evaluation and A/B testing
- Drive measurable business outcomes – Connect model performance to conversion, approval rates, revenue, and member engagement, and clearly communicate impact to stakeholders
- Establish best practices for experimentation and modeling – Raise the bar on model evaluation, calibration, drift analysis, and offline/online alignment
The application process
- Please note that due to the sensitive nature of the work we do, clearing a credit and criminal record check is a condition of employment
Benefits
- The Opportunity - join and have a major impact at a growing company that is helping make financial stability possible for everybody
- Comprehensive Health Benefits - medical, dental, vision, and paramedical health benefits for you and your family
- Additional Health Benefits - virtual benefit offering that allows you to connect with nurses, doctors and mental health professionals
- Maternity & Parental Leave Top-up - available to new parents
- Wellness & Transit Benefit - $600 annually to spend on a gym membership, daycare, petcare, etc
- Givewell Benefit - 1 paid volunteer day a year to give back to the community
- Flexibility - flexible working hours and a flexible vacation policy
Top Benefits
Health: medical, dental, vision, paramedical
Virtual health: nurses, doctors, mental care
Maternity/parental leave top‑up
About the role
Who you are
- 5+ years of experience delivering data science and machine learning solutions with demonstrated ownership of high-impact production models from problem definition through production and iteration
- Hands-on experience designing, building, and iterating on ranking, recommendation, or personalization models used in a production environment (e.g., offer ranking, next-best-action, feed ranking, eligibility routing)
- Strong proficiency in Python for data analysis, feature engineering, and modeling
- Advanced SQL skills, including complex joins and analytical queries across large datasets
- Deep experience with supervised learning, including handling class imbalance and model calibration
- Strong background in experimentation and A/B testing, including metric design, offline/online evaluation and interpretation
- Excellent communication skills — able to clearly explain complex models, trade-offs, and impact to technical and non-technical audiences
- Comfortable owning ambiguous problems end-to-end and driving alignment across stakeholders in fast-moving environments
- Experience with end-to-end ML workflows, including deployment and post-launch iteration
- Experience working with cloud-based data platforms (e.g., Snowflake, Databricks)
- Familiarity with dbt, PySpark, SparkSQL, or other distributed data processing tools
- Exposure to MLOps tools (e.g., MLflow, feature stores, monitoring frameworks)
- Experience working in fintech, credit, or consumer marketplaces
What the job involves
- As a Senior Data Scientist, you will play a critical role in shaping and delivering Borrowell’s core machine learning capabilities and influencing product direction through data-driven recommendations
- You will partner closely with Product, Business, Data, and Engineering leaders to design, build, and scale ML-driven systems that personalize the member experience, power our recommendation and ranking engines, and directly impact marketplace conversion and approval outcomes
- This is a hands-on, product-facing role with end-to-end ownership — from problem framing and model design to experimentation, measurement, and iteration in production
- This role is expected to operate as a technical leader, setting modeling direction and raising the bar for data science rigor across the organization
- During your first year, you can expect to:
- Own high-impact ML initiatives technical and product trade-off decisions – Lead the design and delivery of product ranking, intent prediction, and approval likelihood models that materially improve business KPIs
- Translate strategy into models – Work with Product and Business stakeholders to convert complex business goals into well-defined ML problems, success metrics, and experimentation plans
- Build, evaluate, and iterate on production models – Develop robust features, train and calibrate models, and continuously improve performance through rigorous evaluation and A/B testing
- Drive measurable business outcomes – Connect model performance to conversion, approval rates, revenue, and member engagement, and clearly communicate impact to stakeholders
- Establish best practices for experimentation and modeling – Raise the bar on model evaluation, calibration, drift analysis, and offline/online alignment
The application process
- Please note that due to the sensitive nature of the work we do, clearing a credit and criminal record check is a condition of employment
Benefits
- The Opportunity - join and have a major impact at a growing company that is helping make financial stability possible for everybody
- Comprehensive Health Benefits - medical, dental, vision, and paramedical health benefits for you and your family
- Additional Health Benefits - virtual benefit offering that allows you to connect with nurses, doctors and mental health professionals
- Maternity & Parental Leave Top-up - available to new parents
- Wellness & Transit Benefit - $600 annually to spend on a gym membership, daycare, petcare, etc
- Givewell Benefit - 1 paid volunteer day a year to give back to the community
- Flexibility - flexible working hours and a flexible vacation policy