Data Scientist
SCALIS, Seattle, WA, United States
About the job
Team Introduction
Our data science team sits at the center of a growing company, building the models, tools, and analytical infrastructure that power how Possible makes decisions, monitors risk, and operates with rigor at scale. We are seeking a Data Scientist to work at the intersection of analytics, model governance, and internal tooling – growing our capacity to support the teams and systems that help Possible move fast and make good decisions.
Role
You will own a structured framework to evaluate new data sources and modeling techniques. Your analyses will include clear assumptions that guide our data vendor budget and investment decisions. You will build out model monitoring and governance infrastructure — turning it from a reactive compliance exercise into a proactive utility. Working cross‑functionally, you’ll collaborate with internal teams to develop analytical tools and automations that ease bottlenecks. This enables other teams to access data independently and find answers without relying on advanced analytics repeatedly.
What You'll Bring
Must‑Hold
2–4 years of hands‑on experience in data science or analytics
Strong Python and SQL skills for analysis and automation
Proven statistical foundation: you can frame a hypothesis, develop a meticulous test, and communicate results — including their limitations — to non‑technical partners
A service mentality: you build things people actually use, you get happiness from unblocking others, and you know how to balance rigor with shipping
Preferred
Background in consumer finance or credit risk
Experience with model governance or model validation
Experience with AI or LLM platforms in an applied context
Track record supporting cross‑functional teams with analytical work
Testing or QA mentality — validating that what was built does what it should
Nice‑to‑Have
Experience with dbt or Airflow
Dashboard design and management experience
Compensation & Benefits
This is a hybrid position with a shared in‑office schedule of Monday, Tuesday, and Thursday. Our office is centrally located in downtown Seattle. The compensation range for this role is $161,000 to $175,000. In addition to base salary, we also offer significant stock options, comprehensive benefits, a bonus plan, commuter benefits, and an excellent office space with complimentary drinks and food options.
Benefits include:
Health Insurance
Vision Insurance
401(k) Matching
Paid Time Off (PTO)
Paid Holidays
Remote Work
Life Insurance
Bonus
Commuting
Flexible Schedule
Relocation Assistance
Commuter
Company Mission
Possible Finance is dedicated to financial fairness and community empowerment. We welcome diverse perspectives and experiences to help us achieve our mission of unlocking economic mobility for generations to come.
#J-18808-Ljbffr
Team Introduction
Our data science team sits at the center of a growing company, building the models, tools, and analytical infrastructure that power how Possible makes decisions, monitors risk, and operates with rigor at scale. We are seeking a Data Scientist to work at the intersection of analytics, model governance, and internal tooling – growing our capacity to support the teams and systems that help Possible move fast and make good decisions.
Role
You will own a structured framework to evaluate new data sources and modeling techniques. Your analyses will include clear assumptions that guide our data vendor budget and investment decisions. You will build out model monitoring and governance infrastructure — turning it from a reactive compliance exercise into a proactive utility. Working cross‑functionally, you’ll collaborate with internal teams to develop analytical tools and automations that ease bottlenecks. This enables other teams to access data independently and find answers without relying on advanced analytics repeatedly.
What You'll Bring
Must‑Hold
2–4 years of hands‑on experience in data science or analytics
Strong Python and SQL skills for analysis and automation
Proven statistical foundation: you can frame a hypothesis, develop a meticulous test, and communicate results — including their limitations — to non‑technical partners
A service mentality: you build things people actually use, you get happiness from unblocking others, and you know how to balance rigor with shipping
Preferred
Background in consumer finance or credit risk
Experience with model governance or model validation
Experience with AI or LLM platforms in an applied context
Track record supporting cross‑functional teams with analytical work
Testing or QA mentality — validating that what was built does what it should
Nice‑to‑Have
Experience with dbt or Airflow
Dashboard design and management experience
Compensation & Benefits
This is a hybrid position with a shared in‑office schedule of Monday, Tuesday, and Thursday. Our office is centrally located in downtown Seattle. The compensation range for this role is $161,000 to $175,000. In addition to base salary, we also offer significant stock options, comprehensive benefits, a bonus plan, commuter benefits, and an excellent office space with complimentary drinks and food options.
Benefits include:
Health Insurance
Vision Insurance
401(k) Matching
Paid Time Off (PTO)
Paid Holidays
Remote Work
Life Insurance
Bonus
Commuting
Flexible Schedule
Relocation Assistance
Commuter
Company Mission
Possible Finance is dedicated to financial fairness and community empowerment. We welcome diverse perspectives and experiences to help us achieve our mission of unlocking economic mobility for generations to come.
#J-18808-Ljbffr