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At Home Data Scientist Risk Jobs in New York (NOW HIRING)

Findigs

Data Scientist

New York, NY · Hybrid

$160K - $185K/yr

As Data Scientist at Findigs, you will strengthen our data science and applied machine learning ... Predictive and risk modeling: Build and maintain models used in screening logic (e.g., delinquency ...

The Consensus

Data Scientist

Manhattan, NY · On-site

$100 - $130/hr

Risk & Capital Markets Data | Ramp's Risk Data team is responsible for how risk is evaluated, and ... Virtual GP and at-home care via eMed x Livi * Workplace pension through Penfold, with salary ...

MasterCard

Data Scientist

New York, NY · On-site

Join the Loyalty group at Mastercard, where we connect anonymized transaction data with a robust ... risk to the organization and, therefore, it is expected that every person working for, or on behalf ...

Smarsh

Lead Data Scientist

Manhattan, NY · On-site

$166 - $214/hr

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ...

Ramp

Data Scientist

Manhattan, NY · On-site

$140 - $200/hr

Risk & Capital Markets Data | Ramp's Risk Data team is responsible for how risk is evaluated, and ... Virtual GP and at-home care via eMed x Livi * Workplace pension through Penfold, with salary ...

Ramp

Data Scientist

New York, NY · On-site +1

$137K - $297K/yr

Risk & Capital Markets Data | Ramp's Risk Data team is responsible for how risk is evaluated, and ... Virtual GP and at-home care via eMed x Livi * Workplace pension through Penfold, with salary ...

Visa Hunt

Data Scientist

Manhattan, NY · On-site

$120 - $190/hr

Risk & Capital Markets Data | Ramp's Risk Data team is responsible for how risk is evaluated, and ... Virtual GP and at-home care via eMed x Livi * Workplace pension through Penfold, with salary ...

Oscar Health

Senior Data Scientist

New York, NY · Hybrid

$163K - $215K/yr

The Risk Adjustment Data Science team turns that data into the models, pipelines, and systems that quantify Oscar's clinical risk and power our risk adjustment submissions-work that directly impacts ...

Smarsh

Lead Data Scientist

New York, NY · On-site +1

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ...

Smarsh

Lead Data Scientist

New York, NY · On-site

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Summary As a Lead Data Scientist (NLP & Financial Compliance) at Smarsh , you will spearhead the ...

Oscar Health

Senior Data Scientist

New York, NY · Hybrid

$163K - $215K/yr

The Risk Adjustment Data Science team turns that data into the models, pipelines, and systems that ... At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring ...

Oscar Health

Senior Data Scientist

Manhattan, NY · On-site

$163K - $215K/yr

The Risk Adjustment Data Science team turns that data into the models, pipelines, and systems that ... At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring ...

Oscar Health

Senior Data Scientist

New York, NY · On-site

$163K - $215K/yr

The Risk Adjustment Data Science team turns that data into the models, pipelines, and systems that ... At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring ...

Neara

Data Scientist

New York, NY · On-site

$160K - $190K/yr

That is the reality we are creating at Neara. We use advanced machine learning to create ... Surface meaningful analytics and metrics such as wildfire risk that help guide customer buildout of ...

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All JobsAt Home Data Scientist Risk JobsAt Home Data Scientist Risk Jobs in New York

At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

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For At Home Data Scientist Risk jobs in New York, the most frequently searched job titles are:

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Cities in New York with the most At Home Data Scientist Risk job openings:

At Home Data Scientist Risk jobs near you

Data Scientist

Findigs

New York, NY • Hybrid

$160K - $185K/yr

Full-time

Re-posted 28 days ago

Job description

Who we are

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.
  • 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.
  • Predictive and risk modeling: Build and maintain models used in screening logic (e.g., delinquency risk, income estimation, fraud signals).
  • ML infrastructure: 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.
  • 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.
We’d love to hear from you if you 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
  • Ability to design, run, and interpret A/B tests independently
  • Strong SQL skills and comfort working in a modern data stack (dbt, Snowflake, Sigma, or similar)
  • Solid grounding in supervised learning fundamentals (classification, regression, tree-based methods)
  • Strong written communication and the ability to explain model behavior and tradeoffs to non-technical partners (e.g., PMs, CSMs)
  • Intellectual curiosity about housing and credit data in particular
Nice-to-haves:
  • Experience building or contributing to a credit, risk, or underwriting model in production
  • Familiarity with fair lending / disparate impact considerations in ML (important given the real-world consequences of renter screening)
  • Experience working on systems where model output directly affects real people, with a strong sense of responsibility and rigor
  • Ability to move between exploratory research and production-grade work without needing separate tracks
  • LLM experience (fine-tuning, retrieval, or integration), especially as we automate parts of underwriting and screening workflows
  • Startup / scale-up experience
What we offer:
  • Location: We operate on a hybrid schedule (3-4x times in-office per week), with core collaboration days on Monday, Tuesday, and Thursday at our NoHo office. 
  • Mission-Driven Culture: A collaborative, high-impact workplace where we challenge each other to grow, innovate, and drive meaningful change.
  • 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. We also observe all-company holidays.
  • Wellness Perks: Health benefits, 401(k) matching up to 4%, monthly gym stipend, and lunch provided every day.
Compensation disclosure as required by NYC Pay Transparency Law.Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, and the scope of responsibilities in the role. In addition to cash compensation, all full time employees receive an equity compensation package.
Interviewing with Us
 
We're committed to making our interview process as effective and candidate-friendly as possible. We use a tool called Brighthire.ai to record our interviews so that our interviewers can focus entirely on the conversation and not get distracted by taking notes. Please note, if you move forward with the interview process, you'll always have the option to opt out of the recording.
 
We are an equal opportunity employer and, as such, all applicants will be considered based solely upon merit and directly relevant professional competencies. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.