Lead Data Scientist, Predictive Modeling, Causal Inference

This is a fully remote position, open to applicants in United States, +1 more country.

📋 Description

• Design, develop, and validate predictive models, which encompass GLMs, causal/econometric methods, and deep learning-based forecasting.

• Utilize causal inference methodologies such as quasi-experimental designs, uplift modeling, propensity score methods, and related econometric tools.

• Oversee the entire model lifecycle, from exploratory analysis and feature engineering to deployment, monitoring, and retraining in production environments.

• Write production-standard SQL, process large-scale data in Spark, and create and deploy models using Python.

• Collaborate with client data science and analytics teams to transform ambiguous business questions into clearly defined modeling challenges.

• Effectively communicate technical work to both technical and non-technical stakeholders, influencing strategic decision-making.

• Enhance the reliability and maintainability of models in established production settings.

⛳️ Requirements

• Over 7 years of practical experience in predictive analytics, applied statistics, or machine learning, with a proven history of transitioning models from concept to production.

• Profound understanding of generalized linear models, econometric techniques, causal inference, and time-series forecasting, including methods based on deep learning.

• Solid software engineering principles, including the deployment and maintenance of production models, ensuring code quality, testing, and monitoring.

• High proficiency in SQL, Spark, and Python.

• Exceptional communication and interpersonal abilities; strong capacity for client and stakeholder engagement.

• A graduate degree (M.S. or Ph.D.) in a quantitative or behavioral field such as statistics, economics, computer science, cognitive science, or a related discipline, or equivalent demonstrated experience.

• Must be located in the US or Canada.

🏝️ Benefits

• Company-sponsored medical, vision, dental, and wellness benefits for employees.

• Provision of home office equipment by the company.

• Flexible vacation and sick leave policies.

• A collaborative and supportive work environment.

• Company-funded events and promotional merchandise.