Senior Data Scientist – Content

This is a fully remote position, open to applicants in United States.

📋 Description

• Formulate and execute data science strategies focused on lead scoring, churn modeling, pricing, personalization, and fraud detection.

• Partner with engineering and business stakeholders to provide actionable insights that lead to measurable business outcomes.

• Oversee comprehensive data science projects, encompassing data collection and analysis, feature engineering, model selection and training, inference, and monitoring.

• Improve data infrastructure and analytics capabilities in collaboration with data infrastructure and analyst teams.

• Present findings effectively to both technical and non-technical audiences.

⛳️ Requirements

• A minimum of 5 years of professional experience as a Data Scientist or ML Engineer in fast-paced growth settings.

• In-depth knowledge of machine learning algorithms and statistical modeling techniques.

• Proficient in Python, with expertise in scikit-learn, numpy, and pandas.

• Strong command of SQL.

• Familiarity with Snowflake and Streamlit is advantageous.

• Master’s or Ph.D. in a quantitative field such as Mathematics, Statistics, Operations Research, Economics, Engineering, or Computer Science.

• Capability to clearly convey findings to both technical and non-technical stakeholders.

• Eagerness to take initiative and make a significant impact in a fast-moving, dynamic environment.

🏝️ Benefits

• Equity options available for all employees.

• Annual bonuses or commissions may be offered based on the specific role.

• Hybrid-hub model allowing for fully remote or office-based work environments.

• Comprehensive benefits package; further details can be found at engine.com/culture.