**What You'll Do** You'll design and deliver data science solutions that blend cutting\-edge methods with practical deployment. Working across industries and use cases, you'll tackle challenging problems in marketing analytics, build robust models, and deliver insights that power client\-facing tools and internal decision\-making. * **Develop End\-to\-End Models**: Design, train, and evaluate models for marketing mix modeling, incrementality measurement, and ads optimization to inform media planning and budget allocation. * **Collaborate on Real\-World Solutions**: Partner with software engineers and fellow data scientists to integrate data\-driven models into deployable systems that operate in dynamic production environments. * **Client\-Focused Problem Solving**: Work closely with stakeholders to frame ambiguous marketing problems, explore solution paths, and translate technical insights into actionable recommendations. * **Explore, Iterate, Validate**: Lead the exploration and analysis of large\-scale datasets using tools like Pandas, NumPy, and Spark to inform model design, evaluate performance, and identify optimization opportunities. * **Research\-Driven Innovation**: Stay current with advances in econometrics, causal inference, and machine learning techniques relevant to ads measurement and optimization, adapting them for practical application. **What We Need** **Professional Experience:** * 2\+ years of hands\-on experience building and deploying models in marketing analytics, ads optimization, or related domains. * Proven ability to take models from prototype to production in Python\-based workflows. * Experience working in client\-facing roles or directly engaging with stakeholders to refine project requirements. **Technical Expertise:** * Strong proficiency in Python and commonly used ML/data libraries (Pandas, NumPy, scikit\-learn, PyTorch, or similar). * Familiarity with marketing mix modeling (MMM), attribution modeling, or causal inference techniques. * Experience working with large\-scale datasets using distributed tools such as Spark. * Comfort navigating cloud environments (GCP, AWS, or similar); Databricks experience is a plus. * Solid grasp of experimental design, model evaluation, and data debugging practices. * Strong code hygiene: able to write clean, modular, testable code in collaborative environments. We offer a pay range of $30\+ per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you'll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. **Important:** All candidates must pass an interview as part of the contracting process.