Data Scientist II — End-to-End ML for Payments

Early Warning®; San Francisco (CA); Hybrid; USD 122,000 - 162,000; Full time

Benefits offered by this job

Healthcare Coverage

401(k) Matching

Paid Time Off

Parental Leave

Job summary

Early Warning Services, LLC is seeking a data scientist who will own end-to-end model development from data exploration to deployment. You will build scalable pipelines, implement machine learning techniques, and collaborate with Product and Engineering to extract actionable insights from large datasets.

The role requires strong communication skills to convey findings to non-technical stakeholders and a willingness to prototype rapidly in a hybrid work environment.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science, Operational Research or related field.
• 4+ years data science, engineering, mathematics, or related work experience.
• Experience developing data science pipelines & workflows in Python, R or equivalent; SQL experience; handling terabyte size datasets.
• Experience applying ML techniques and understanding key parameters affecting performance.
• Experience using ML libraries (scikit-learn, MLlib, etc.).
• Experience using data visualization tools.
• Able to write production-level, well-documented code.
• Interest in rapid proofs of concept/rapid prototyping.
• Ability to communicate findings to non-technical audiences.
• Background and drug screen.

Responsibilities

• Explore and aggregate data independently to uncover data anomalies impacting model performance.
• End-to-end feature engineering from idea to validated features.
• Write production-level code in a dynamic environment.
• Work with terabyte-scale datasets to solve complex problems.
• Apply various ML techniques to business problems for optimal solutions.
• Collaborate with Product and Engineering to identify trends and opportunities.
• Explain and visualize results to non-technical audiences.
• Support data/system integrity and confidentiality.

Skills

Python/R scripts

SQL

Data pipelines

Machine learning

Visualization

Production-grade code

Proof of concepts

Communication

Terabyte datasets

Education

Bachelor’s degree in Mathematics/Statistics/CS/OR or related field

4+ years data science/engineering experience

PhD/Master’s in related field

Tools

PySpark

Job description

Early Warning Services, LLC is seeking a data scientist who will own end-to-end model development from data exploration to deployment. You will build scalable pipelines, implement machine learning techniques, and collaborate with Product and Engineering to extract actionable insights from large datasets.

The role requires strong communication skills to convey findings to non-technical stakeholders and a willingness to prototype rapidly in a hybrid work environment.