Data Scientist Specialist (Marketing) at Invisible Agency

, , Uruguay -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

30.0

Posted On

16 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Marketing Analytics, Model Evaluation, Python, Machine Learning, Pandas, NumPy, Spark, Cloud Environments, Experimental Design, Causal Inference, Ads Optimization, Stakeholder Engagement, Model Deployment, Data Debugging, Code Hygiene

Industry

Software Development

Description

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.

Responsibilities

Design and deliver data science solutions for marketing analytics, building robust models and delivering insights. Collaborate with engineers and data scientists to integrate models into deployable systems.