Senior Data Scientist - Content

Engine

11d • $170,000 - $200,000 • Hybrid

About The Position

Establishing and maintaining high-quality data infrastructure, data assets, and data science capabilities are critical for the company's continued success. We have and will continue to invest heavily to leverage data science and machine learning to drive strategic and business decisions, power key product features, and solve problems that directly improve our customers’ experience and the strength of our business. As a Data Scientist at Engine, you’ll play a vital role in an environment where innovation meets collaboration. Here’s what you’ll take charge of:
Develop and implement data science strategies to enhance key machine learning models and services, including lead scoring, churn modeling, pricing, personalization, and fraud detection.
Collaborate with engineering and business stakeholders to ensure actionable insights, effective implementation, and measurable business impact.
Drive end-to-end data science initiatives, from gathering and analyzing data to feature engineering, model selection/training, inference, and monitoring.
Enhance data infrastructure and analytics capabilities by working closely with our data infrastructure and analyst teams.
Effectively communicate findings to both technical and non-technical audiences, ensuring transparency and alignment across teams.

Requirements

• 5+ years of industry experience as a Data Scientist/ML Engineer in high-growth environments.
• Strong expertise in machine learning algorithms and statistical modeling, with proficiency in Python (including scikit-learn, numpy, and pandas) and SQL.
• MS/PhD in a quantitative discipline such as Mathematics, Statistics, Operations Research, Economics, Engineering, or Computer Science.
• A bias toward simple, effective ML solutions before diving into complex approaches.
• Ability to present findings clearly to both technical and non-technical stakeholders.
• Thrive in a fast-paced, dynamic environment with a willingness to take initiative and drive meaningful impact.

Nice To Haves

• Experience with Snowflake and Streamlit is a plus.

Responsibilities

• Develop and implement data science strategies to enhance key machine learning models and services, including lead scoring, churn modeling, pricing, personalization, and fraud detection.
• Collaborate with engineering and business stakeholders to ensure actionable insights, effective implementation, and measurable business impact.
• Drive end-to-end data science initiatives, from gathering and analyzing data to feature engineering, model selection/training, inference, and monitoring.
• Enhance data infrastructure and analytics capabilities by working closely with our data infrastructure and analyst teams.
• Effectively communicate findings to both technical and non-technical audiences, ensuring transparency and alignment across teams.

Benefits

• Equity for all employees.
• Competitive base pay tied to role and experience.
• Potential for bonuses or commissions depending on the role.
• Full list of benefits at engine.com/culture

What This Job Offers

• Job Type: Full-time
• Career Level: Senior