Findigs

Findigs

Data Scientist

New York, NY

No sponsorship$160k-$185kDetected 34 days ago
PythonSQLSnowflakeMachine Learningscikit-learnPandasdbtData ScienceA/B TestingResearchCommunicationCollaborationUnderwritingRisk Modeling

About the role

  • Findigs runs an AI underwriting engine (DecisionAssist) that makes or influences thousands of rental decisions every week.
  • Please note, we are unable to sponsor or take over sponsorship of an employment visa at this time.
  • Research and analysis: Tackle high-impact, ad-hoc questions from Product and Customer teams; e.g., what's driving approval-rate variance, which cohorts behave differently, and what a given signal actually predicts.

Responsibilities

  • owning hands-on model development, experimentation design, and ML-adjacent analysis that directly impacts renter and property manager outcomes.
  • Reporting to the Lead Analytics Engineer, this is a highly technical, high-ownership role for a data scientist who wants to build and improve production models, bring statistical rigor to product decisions, and grow into broader strategic scope as the team evolves.
  • You will partner closely with Product and Engineering to translate real-world rental risk and behavior into models, experiments, and clear insights.
  • Own feature engineering, model iteration, and evaluation for DecisionAssist.
  • (1) operational model work in the DA/CAV1 serving layer, and (2) analytics-focused modeling in Snowflake for experimentation and research, as well as partner with Product and Engineering on what signals matter and why.
  • Design and analyze experiments across underwriting, renter-facing, and PMC-facing product changes, and bring statistical rigor and clear recommendations.
  • Build and maintain models used in screening logic (e.g., delinquency risk, income estimation, fraud signals).
  • While you won't own the warehouse or pipeline architecture, you should be comfortable writing clean Python, working in dbt, and operating in a modern data stack.
  • DecisionAssist model development: Own feature engineering, model iteration, and evaluation for DecisionAssist.
  • Experimentation and A/B testing: Design and analyze experiments across underwriting, renter-facing, and PMC-facing product changes, and bring statistical rigor and clear recommendations.

Requirements

  • We'd love to hear from you if you have:

Nice to have

  • 4+ years of hands-on data science or applied ML experience (fintech, proptech, or other high-stakes decisioning environments preferred)
  • Strong Python skills (pandas, scikit-learn, statsmodels or equivalent)
  • this is a coding role
  • Intellectual curiosity about housing and credit data in particular

Skills

  • Strong Python skills (pandas, scikit-learn, statsmodels or equivalent); this is a coding role
  • Strong SQL skills and comfort working in a modern data stack (dbt, Snowflake, Sigma, or similar)

Compensation

  • Competitive base salary + Pre-IPO equity.

Benefits

  • Competitive Compensation: Competitive base salary + Pre-IPO equity.
  • Generous Time Off: We trust our team to manage their own time and workload.
  • That's why we offer a Unlimited Paid Time Off (PTO) policy, allowing you to take the time you need to rest and recharge.
  • Wellness Perks: Health benefits, 401(k) matching up to 4%, monthly gym stipend, and lunch provided every day.

Company info

  • Findigs is on a mission to make renting work for all of us. Renting is one of life's most critical experiences, yet the process is often slow, opaque, and unfair. We're changing that by building the first end-to-end platform that turns complex screening into a seamless, high-trust experience for both property managers and renters. We're growing fast - fueled by $78M in funding from the investors behind companies like Affirm, Gusto, and Uber. With a data-backed product that allows our customers to make smarter, more predictable decisions, and a team dedicated to transparency and precision, we're not just improving the rental process
  • we're setting the new standard for the entire industry. We're aiming to double our impact this year, and we need builders, thinkers, and problem-solvers to help us scale. If you're ready to modernize one of the most essential industries, we'd love for you to be a part of it. The Role Findigs runs an AI underwriting engine (DecisionAssist) that makes or influences thousands of rental decisions every week. As Data Scientist at Findigs, you will strengthen our data science and applied machine learning depth: owning hands-on model development, experimentation design, and ML-adjacent analysis that directly impacts renter and property manager outcomes. Reporting to the Lead Analytics Engineer, this is a highly technical, high-ownership role for a data scientist who wants to build and improve production models, bring statistical rigor to product decisions, and grow into broader strategic scope as the team evolves. You will partner closely with Product and Engineering to translate real-world rental risk and behavior into models, experiments, and clear insights. Please note, we are unable to sponsor or take over sponsorship of an employment visa at this time.
  • Where you will make an impact:
  • DecisionAssist model development: Own feature engineering, model iteration, and evaluation for DecisionAssist. You will work across two surfaces: (1) operational model work in the DA/CAV1 serving layer, and (2) analytics-focused modeling in Snowflake for experimentation and research, as well as partner with Product and Engineering on what signals matter and why.
  • Findigs is on a mission to make renting work for all of us.
  • Renting is one of life's most critical experiences, yet the process is often slow, opaque, and unfair.
  • We're changing that by building the first end-to-end platform that turns complex screening into a seamless, high-trust experience for both property managers and renters.
  • We're growing fast - fueled by $78M in funding from the investors behind companies like Affirm, Gusto, and Uber.
  • With a data-backed product that allows our customers to make smarter, more predictable decisions, and a team dedicated to transparency and precision, we're not just improving the rental process; we're setting the new standard for the entire industry.
  • We're aiming to double our impact this year, and we need builders, thinkers, and problem-solvers to help us scale.
  • If you're ready to modernize one of the most essential industries, we'd love for you to be a part of it.
  • Who we are Findigs is on a mission to make renting work for all of us.
  • The Role Findigs runs an AI underwriting engine (DecisionAssist) that makes or influences thousands of rental decisions every week.
  • As Data Scientist at

Equal opportunity

  • equal opportunity employer and, as such, all applicants will be considered based solely upon merit and directly relevant professional competencies.
  • We are an equal opportunity employer and, as such, all applicants will be considered based solely upon merit and directly relevant professional competencies.

Visa & Work Authorization

  • Please note, we are unable to sponsor or take over sponsorship of an employment visa at this time.
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