CSC Generation

AI-First Data Scientist

CSC Generation

full-time

Posted on:

Location Type: Remote

Location: Remote • Arizona, Florida, Louisiana, Mississippi, Missouri, Montana, Nevada, North Carolina, Oklahoma, Pennsylvania, Tennessee, Texas, Utah, Virginia, West Virginia, Wisconsin, Wyoming • 🇺🇸 United States

Visit company website
✨ AI Apply
Apply

Job Level

Mid-LevelSenior

Tech Stack

AWSCloudPythonSQL

About the role

  • Develop and deploy end-to-end ML pipelines using modern MLOps practices, cloud-native platforms (e.g., AWS Sagemaker), and scalable infrastructure.
  • Conduct causal analysis and treatment effect estimation using DML, causal forests, uplift modeling, and other counterfactual inference techniques to guide high-stakes business strategy.
  • Build, train, and optimize predictive and prescriptive models for use cases like pricing, promotions, inventory, marketing attribution, and personalization.
  • Integrate models into production systems and monitor their performance using advanced observability tools (yes, even Happyface), including diagnosing drift and data quality issues.
  • Partner directly with business leaders to translate ambiguous business problems into machine learning frameworks that deliver measurable ROI.
  • Collaborate with engineering teams to improve data pipelines, ensure model reproducibility, and maintain version-controlled, CI/CD-enabled ML workflows.
  • Continuously research and apply emerging techniques in AI, including generative AI, automated feature engineering, and reinforcement learning.
  • Take complex, high-impact problems end to end - from exploration and feature design through model selection, backtesting, and production deployment with clear impact metrics.
  • Design robust experiment and quasi-experiment setups (A/B tests, holdouts, staggered rollouts) and recommend approaches when fully randomized tests are not feasible.

Requirements

  • 5+ years of experience in applied data science, machine learning engineering, with a proven track record of deploying ML models into production.
  • Master or PhD degree in Data Science, Computer Science, Statistics, Economics, or related quantitative field.
  • Expertise in causal inference frameworks—especially Double Machine Learning (DML), A/B testing, uplift modeling, and other counterfactual methods.
  • Strong proficiency in Python or R, with hands-on experience in SQL, Jupyter, Git, and cloud ML platforms (AWS Sagemaker experience preferred).
  • Familiarity with MLOps tools for experiment tracking, model registry, reproducibility, and automated deployment.
  • Experience working with large datasets, distributed computing frameworks, and data engineering best practices.
  • Strong experience applying advanced causal and time-series methods in real-world settings, including diagnosing bias, drift, and data quality issues.
  • Demonstrated ability to independently take ambiguous, cross-functional problems from zero to a deployed ML solution with clear success metrics and post-launch evaluation.
Benefits
  • Executive Access: Work directly with brand CEOs and senior leadership, solving real business problems and earning mentorship from top operators.
  • AI-First Skill Building: Get hands-on with the most advanced AI tools in the market. From automation to prompt engineering, you’ll build a modern tech stack that sets you apart in any industry.
  • Accelerated Career Path: High performers are quickly entrusted with greater responsibility, new challenges, and leadership opportunities across our portfolio of brands.
  • Competitive Benefits: Paid time off policies, 401(k)/RRSP match, medical/dental/vision and a variety of supplemental policies, and employee discounts at our portfolio companies.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
machine learning engineeringcausal inference frameworksDouble Machine Learning (DML)A/B testinguplift modelingPythonRSQLdata sciencepredictive modeling
Soft skills
collaborationproblem-solvingcommunicationindependencestrategic thinkinganalytical thinkingadaptabilityleadershipcreativitycritical thinking
Certifications
Master's degree in Data SciencePhD in Data ScienceMaster's degree in Computer SciencePhD in Computer ScienceMaster's degree in StatisticsPhD in StatisticsMaster's degree in EconomicsPhD in Economics