Senior Data Scientist — Remote/Hybrid with Equity & Impact

Engine; Denver (CO); Hybrid; USD 170,000 - 200,000; Full time

Benefits offered by this job

Equity for all employees

Hybrid-hub model

Remote work options

Job summary

Engine, the AI-native platform powering modern business travel, seeks a Data Scientist/ML Engineer to shape data strategy and deploy production-ready models. You will partner with engineering, analytics, and product teams to deliver impactful solutions across pricing, personalization, and fraud detection in a fast-growing setting.

The role offers equity, a competitive base salary up to $200,000 USD, and a hybrid-hub work model that supports both in-office and remote work arrangements.

Qualifications

• 5+ years of industry experience as a Data Scientist/ML Engineer in high-growth environments.
• Strong expertise in machine learning algorithms and statistical modeling.
• Education: MS/PhD in quantitative discipline such as Mathematics, Statistics, Operations Research, Economics, Engineering, or Computer Science.
• Ability to present findings clearly to both technical and non-technical stakeholders.

Responsibilities

• Develop and implement data science strategies to enhance ML models and services (lead scoring, churn, pricing, personalization, fraud detection).
• Collaborate with engineering and business stakeholders to ensure actionable insights and measurable impact.
• Drive end-to-end data science initiatives from data gathering to feature engineering, model training, inference, and monitoring.
• Enhance data infrastructure and analytics capabilities with data infrastructure teams.
• Communicate findings effectively to diverse audiences across teams.

Skills

Data Science

ML Engineering

Python

SQL

Communication

Problem Solving

Education

MS/PhD in quantitative discipline

Tools

Snowflake

Streamlit

scikit-learn

NumPy

Pandas

Job description

Engine, the AI-native platform powering modern business travel, seeks a Data Scientist/ML Engineer to shape data strategy and deploy production-ready models. You will partner with engineering, analytics, and product teams to deliver impactful solutions across pricing, personalization, and fraud detection in a fast-growing setting.

The role offers equity, a competitive base salary up to $200,000 USD, and a hybrid-hub work model that supports both in-office and remote work arrangements.