Senior AI & ML Scientist

Daily Pay

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NYMinneapolis, MN
Salary
$179,000–$250,000 / yr
Employment
Full-time
Posted
42 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $202k
This role $214k
$142k $262k
below market most similar roles pay here above market

This role pays more than 62% of similar roles. Most pay $162,000–$241,750 — the blue band above. At the midpoint, this role pays about $214k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Daily Pay

DailyPay is an employee financial wellness platform that allows workers to access their earned wages before payday, helping employers improve retention and financial well-being for their employees. Industry: Financial Technology & Employee Benefits

Daily Pay currently has 5 open roles on FindRole.

Listed pay typically runs $136,000–$190,000 across 5 roles with salary data.

Most-posted roles

View all roles at Daily Pay

At a glance

TL;DR · Senior AI & ML Scientist

The Senior AI & ML Scientist joins the Data Science team as a high-impact individual contributor. You will build and maintain models and decision systems that personalize the product experience, specifically focusing on optimizing financial decisions for workers, personalizing communications, and supporting fraud controls. Your daily work involves developing, evaluating, deploying, and monitoring both batch and real-time models while building reliable data pipelines and features. You must write clean, reproducible code and partner with product and engineering teams to translate business questions into structured solutions. The role requires 5+ years of experience in fintech or regulated consumer domains using Python, advanced SQL, and modern AI, classical ML, statistical, and probabilistic methods. You will solve complex problems regarding on-demand pay balance optimization and production-grade model reliability.

What you'll do

  • Build and maintain ML models for on-demand pay optimization, content personalization, and fraud controls.
  • Develop reliable data pipelines and features for model development following infrastructure standards.
  • Deploy, monitor, and improve both batch and real-time models in production environments.
  • Translate business questions into well-structured data science solutions and modeling approaches.
  • Write clean, well-documented, and reproducible code for all model development and pipeline work.
  • Communicate model results and technical tradeoffs to product and cross-functional partners.
  • Identify data infrastructure gaps and advocate for solutions with engineering partners.
  • Follow and contribute to data quality standards and validation practices.

What we're looking for

  • 5+ years of Machine Learning experience within fintech, payments, or a similarly regulated consumer domain.
  • Bachelor’s or advanced degree in a quantitative discipline such as computer science, machine learning, statistics, or data science.
  • Proven track record of independently building models that drive measurable business outcomes and shipping production models.
  • Advanced SQL and Python skills with experience building and maintaining reliable feature engineering pipelines.
  • Hands-on experience with end-to-end model deployment, including data pipelines, model monitoring, drift detection, and A/B test execution.
  • Experience owning models in production environments where failures have real financial or compliance consequences.
  • Strong proficiency across modern AI, classical ML, statistical, and probabilistic methods.
  • Ability to translate business objectives into modeling approaches and communicate technical tradeoffs to cross-functional partners.

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