Skip to content
Attain

Senior/Staff Data Scientist

Senior/Staff Data Scientist building and deploying predictive ML models for consumer fintech products including credit decisioning, fraud detection, and churn prediction. Owns full model lifecycle from data exploration to production monitoring.

Chicago, ILData ScienceHybrid5+ YOE
Apply

About the role

Responsibilities

  • Hands-on development of ML and statistical models at the core of our EWA product
  • Build and improve predictive models across consumer decisioning, consumer behavior modeling, fraud, churn, transaction intelligence, and other business-critical use cases
  • Own the full model development lifecycle, including data exploration, feature engineering, model training, validation, deployment, monitoring, and retraining
  • Develop reusable modeling pipelines, analytical tools, and production-quality code to support scalable data science work
  • Apply strong statistical and mathematical judgment to model evaluation, calibration, robustness testing, and business impact measurement
  • Collaborate with data analysts, engineers, product managers, and business stakeholders to deliver ML models with quality, efficiency, and precision
  • Identify new areas where data science, predictive modeling, and optimization can improve product and business outcomes

Requirements

  • 5+ years of direct experience working as a Data Scientist, Machine Learning Scientist, Model Developer, Applied Scientist, Economist, or similar role
  • Strong expertise developing, validating, deploying, and monitoring machine learning models in production
  • Solid foundation in statistics, probability, mathematics, and machine learning fundamentals
  • Strong Python coding skills, with the ability to build models, pipelines, and analytical tools from scratch
  • Strong SQL skills and experience working with large, messy, real-world datasets
  • Experience with feature engineering, model evaluation, calibration, monitoring, retraining, and model performance diagnostics
  • Experience with cloud computing services or platforms (GCP preferred)
  • Familiarity with version control, peer code review, and collaborative software development practices

Nice-to-Haves

  • Master's or Ph.D. in a STEM field such as Computer Science, Statistics, Economics, Mathematics, Engineering, Physics, Operations Research
  • Experience with AI/ML-assisted development tools and MLOps practices, including LLMs or autonomous agents
  • Experience with predictive modeling, consumer behavior modeling, risk modeling, credit decisioning, fraud modeling, churn modeling
  • Demonstrated ability to learn new technologies quickly
  • Strong written and verbal communication skills

Skills

PythonSQLMachine LearningStatistical ModelingFeature EngineeringModel DeploymentMLOpsGCPData ExplorationModel Evaluation

Similar roles

Data Science jobs
Perplexity

Member of Technical Staff

Build specialized evals and automated pipelines to measure and improve answer quality for Perplexity's LLM-powered search engine, focusing on retrieval, tool calls, and visual rendering. Requires 4+ years in data science/ML, strong Python/SQL, and cloud experience (MS/PhD preferred).

200k – 300kSan Francisco, CAData ScienceHybrid4+ YOESQLAWS
Pinterest

Staff Data Scientist, Ads Delivery

Lead data science projects on ads delivery, LTV, and engagement tradeoffs. Design ML frameworks, drive experimentation, and mentor scientists. Requires 10+ years experience and deep expertise in ML, causal inference, and product analytics.

165k – 339kSeattle, WAData ScienceHybrid10+ YOERSQL
SentiLink

Data Science Manager - Application Fraud

Manage and mentor a team of data scientists building fraud detection models and financial risk products. Own end-to-end model development from data acquisition through production, while driving technical direction and cross-functional planning.

210k – 260kUnited StatesData ScienceRemote10+ YOEAWSPython
Pinterest

Staff Data Scientist, Forecasting

Lead forecasting models for key company metrics, own the full modeling lifecycle, and translate outputs into executive decisions. Requires 8+ years building production time-series models at scale, strong Python/SQL skills, and proven technical leadership.

165k – 339kSan Francisco, CAData ScienceHybrid8+ YOESQLHive
Coinbase

Staff ML Risk Analyst

Staff-level ML Analytics role focused on fraud detection at Coinbase. Own feature engineering pipelines, define ML data strategy, and partner with MLEs to productionize models that detect account takeover and scam activity.

194k – 228kUnited StatesData ScienceRemote8+ YOESQLSpark