Data Scientist II — Hybrid ML & Fraud Analytics

Early Warning; San Francisco (CA); Hybrid; USD 101,000 - 162,000; Full time

Benefits offered by this job

Healthcare Coverage

401(k) Match

Paid Time Off

Parental Leave

Benefits page

Job summary

Early Warning is hiring a data scientist to join the team and deliver machine learning solutions from problem framing to deployment. You will explore data, engineer features, and write production-grade code to process terabyte-scale datasets in a dynamic environment.

The role requires 4+ years in data science or related fields, strong Python/SQL, and ML libraries, plus the ability to explain complex results to non-technical stakeholders. Experience in fraud analytics is preferred.

Qualifications

• Bachelor’s Degree in Mathematics, Statistics, Computer Science, Operational Research or related field.
• A minimum of 4 years data science, engineering, mathematics, or related work experience is required.
• Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets
• Experience applying various machine learning techniques, and understanding the key parameters that affect their performance
• Experience using ML libraries, such as scikit-learn, mllib, etc.
• Experience using data visualization tools
• Able to write production level code, which is well‑written and explainable
• Interest to do lots and lots of proof of concepts/rapid prototyping
• Ability to effectively communicate findings from complex analyses to non-technical audiences
• Background and drug screen

Responsibilities

• Explore and aggregate data independently to uncover data anomalies that impact algorithm performance
• End to end feature engineering - brainstorm, create, validate, down-select, etc.
• Write production level code in a dynamic, start-up environment
• Solve complex problems using terabyte size data sets
• Apply of a variety of machine learning techniques to a business problem to arrive at optimal approach
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities
• Explain and visualize results and algorithm performance to non-technical audiences
• Support the company's commitment to protect the integrity and confidentiality of systems and data.

Skills

Data science

Python

SQL

Machine learning

Education

Bachelor’s Degree in Math/Stats/CS

Tools

scikit-learn

R

ML libraries

Job description

Early Warning is hiring a data scientist to join the team and deliver machine learning solutions from problem framing to deployment. You will explore data, engineer features, and write production-grade code to process terabyte-scale datasets in a dynamic environment.

The role requires 4+ years in data science or related fields, strong Python/SQL, and ML libraries, plus the ability to explain complex results to non-technical stakeholders. Experience in fraud analytics is preferred.