Toptal

Job DescriptionWe are seeking a Marketing Data Scientist to support and enhance internally built marketing ROI and analytics platform. This role focuses on analyzing marketing effectiveness, optimizing ad spend, and building scalable data science solutions using Python and statistical modeling techniques. The ideal candidate will have experience working with time series data, marketing analytics, and modern Python data science libraries, along with strong software engineering fundamentals.Tasks & ResponsibilitiesDevelop and maintain marketing ROI and analytics modelsAnalyze marketing and sales data to measure channel performance and advertising effectivenessPartner with business stakeholders to address questions, review model outputs, and identify key business drivers behind marketing performance resultsWork with Bayesian and linear models to evaluate marketing contribution and ROISupport and improve Streamlit-based applications used for reporting and visualizationBuild scalable Python-based data workflows and analytical toolsExport and manage reporting outputs using Excel and related formatsCollaborate with engineering and cross-functional teams to improve code quality and maintainabilityWork within AWS environments including S3 and EC2Monitor applications and workflows using DataDogEngagement highlights:Immediate contribution to a live ML application with clear ownershipDeep collaboration with domain experts and applied data teamsOpportunities to apply and grow expertise in both model development and deployment workflowsOverlap till 3pm CST neededRequirementsRequired SkillsStrong Python programming experienceExperience with:PandasNumPyPyTestStreamlitExperience working with time series dataUnderstanding of statistical modeling techniques including Bayesian and linear modelsKnowledge of software engineering best practicesExperience with AWS services such as S3 and EC2Nice to HaveExperience with Marketing Mix Modeling (MMM)Experience in marketing analytics or ad-tech environmentsFamiliarity with ROI optimization and attribution modelingExposure to DataDog or similar monitoring toolsSpanish proficiency is a plus

About the Role:We are looking for a QA Engineer focused on UI and API automation. The ideal candidate has experience with Java and JavaScript for UI automation and Java Rest Assured for API testing. Knowledge of CRM systems such as Siebel CRM is a plus but not required.Responsibilities:Develop and maintain automated UI test scripts using Java and JavaScript.Design, implement, and execute API tests using Java Rest Assured.Conduct automated testing, identify defects, and prepare detailed test reports.Collaborate with development teams to ensure smooth integration of automated tests.Contribute to improving test automation frameworks and processes.(Optional) Use knowledge of CRM systems like Siebel CRM for testing automation.Requirements:Experience with UI and API automation using Java and JavaScript.Proficiency with Java Rest Assured for API testing.Strong problem-solving skills and ability to work in a fast-paced environment.Knowledge of test automation frameworks and best practices.Good communication skills and teamwork abilities.Preferred Qualifications:Familiarity with CI/CD pipelines and DevOps processes.Experience with automation tools like Selenium, Cypress, or Postman.Understanding of Agile methodologies.

About the ClientA leading global agriculture company empowering millions of farmers to make smarter, data-driven decisions — building technology with real-world impact at scale.The RoleWe're looking for an experienced AI/Python Engineer to design, build, and optimize intelligent systems using Python and Azure — from prototyping new ideas to maintaining production-grade pipelines.What You'll DoDesign and implement Python and Azure-based solutions for complex business problemsBuild and maintain RAG pipelines, multi-agent systems, and LLM-powered workflowsOptimize existing systems for performance and scalabilityEnsure compliance with data privacy regulations Why This RoleHigh-impact global projects at enterprise scaleCollaborate with top-tier engineers via the Toptal networkRequirementsWhat We're Looking ForStrong Python skills + data science libraries (NumPy, Pandas, Scikit-learn)Solid Azure services and cloud architecture experienceHands-on experience with LangChain, LangGraph, RAG pipelines, and multi-agent orchestrationFamiliarity with MCP (Model Context Protocol)