About The Position

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI-First Data Scientist. In this highly technical and impactful role, you will utilize deep statistical and machine learning expertise to design and deploy production-ready ML solutions. Your contributions will drive critical business decisions, optimize operations, and advance the integration of AI into our systems. By collaborating directly with senior operators, you will have the opportunity to shape AI systems that continuously enhance performance and decision-making capabilities. This role demands innovation, leadership, and a proactive approach to solving complex business problems.

Requirements

  • 5+ years of experience in applied data science and machine learning engineering.
  • Master or PhD degree in a quantitative field such as Data Science, Computer Science, or Statistics.
  • Expertise in causal inference frameworks, including Double Machine Learning.
  • Strong proficiency in Python or R, with hands-on experience in SQL and cloud ML platforms.
  • Familiarity with MLOps tools for experiment tracking and automated deployment.
  • Experience working with large datasets and data engineering best practices.
  • Strong background in applying advanced causal and time-series methods.
  • Ability to independently deliver ML solutions with measurable success metrics.

Responsibilities

  • Develop and deploy end-to-end ML pipelines using modern MLOps practices and cloud-native platforms.
  • Conduct causal analysis and treatment effect estimation to guide high-stakes business strategy.
  • Build, train, and optimize predictive and prescriptive models for various use cases.
  • Integrate models into production systems and monitor their performance.
  • Partner with business leaders to translate problems into machine learning frameworks.
  • Collaborate with engineering teams to improve data pipelines and ensure model reproducibility.
  • Research and apply emerging techniques in AI.
  • Design robust experiment and quasi-experiment setups.

Benefits

  • Executive Access: Work directly with brand CEOs and senior leadership.
  • AI-First Skill Building: Hands-on experience with advanced AI tools.
  • Accelerated Career Path: Fast-tracked responsibilities and leadership opportunities.
  • Competitive Benefits: Paid time off, 401(k) match, medical/dental/vision, and employee discounts.
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