Data Scientist II: End-to-End ML on Terabyte Datasets

Early Warning Services; New York (NY); Hybrid; USD 122,000 - 162,000; Full time

Benefits offered by this job

401(k) Retirement Plan with Safe Harb

Paid Time Off

Holidays & PTO

Job summary

Early Warning Services, in a hybrid role in New York, NY, is seeking a data science professional to translate business needs into production-ready models—from data exploration through deployment, validation, and ongoing performance reporting.

Applicants should have a minimum of 4 years in data science or related fields, strong Python/R programming, SQL proficiency, and experience with terabyte-scale datasets. Collaboration with product and engineering teams is expected.

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science, Operational Research or related field.
• Minimum 4 years of data science, engineering, mathematics, or related work experience.
• Experience developing data science pipelines and workflows in Python, R, or equivalent language.
• Experience writing and tuning SQL.
• Experience handling terabyte-sized datasets.
• Experience applying machine learning techniques with interpretable results.
• Experience with ML libraries such as scikit-learn and mllib.
• Experience using data visualization tools.
• Ability to produce production-level code that is well-written and explainable.

Responsibilities

• Independently explore and aggregate data to uncover anomalies that can affect algorithm performance.
• Lead end-to-end feature engineering, including brainstorming, creating, validating, and down-selecting features.
• Write production-level code in a dynamic, startup-style environment.
• Solve complex problems using terabyte-scale datasets.
• Apply multiple machine learning techniques to select an optimal approach for business problems.
• Partner with Product and Engineering teams to address problems and identify trends and opportunities.
• Explain and visualize results, as well as algorithm performance, for non-technical audiences.
• Support the company’s commitment to protect the integrity and confidentiality of systems and data.

Skills

Python

SQL

Data Visualization

PySpark

scikit-learn

Education

Bachelor's degree in Mathematics, Statistics, Computer Science, Operational Research

Tools

R

mllib

PySpark

Job description

Early Warning Services, in a hybrid role in New York, NY, is seeking a data science professional to translate business needs into production-ready models—from data exploration through deployment, validation, and ongoing performance reporting.

Applicants should have a minimum of 4 years in data science or related fields, strong Python/R programming, SQL proficiency, and experience with terabyte-scale datasets. Collaboration with product and engineering teams is expected.