Senior Data Science Developer/Manager -Must Have AWS, Python, Machine Learning, Marketing Analytics - Full Remote

Role: Data Science Developer/Manager Location: Remote • Proficient in machine learning model and statistical model development, simulation and optimization and deployment in AWS • Proficient in SQL, Python, R for data integration and modeling projects • Advanced in AWS Sagemaker, EC2, S3, Terraform, Bitbucket, etc for deployment projects • Advanced in PBI, Excel, streamlit for analytics and visualization projects • Experience in Terraform, EC2, MMM, optimizer application will be a big plus Key Responsibilities: • Develop and deploy predictive and statistical models to evaluate marketing performance (e.g., attribution, media mix modeling, churn, LTV, segmentation, optimization). • Partner with marketing, product team to translate modeling results into clear business insights & recommendations that drive growth and ROI and communicate implications to non-technical stakeholders. • Present findings to senior stakeholders through clear storytelling and visualization. • Visualize and present analytical results using tools like Power BI, Excel, etc. • Build and maintain scalable analytics pipelines using Python/R, SQL, and possibly cloud data platforms (GCP, AWS, Azure). • Partner with marketing operations to operationalize insights (e.g., audience targeting, spend optimization). • Collaborate with data engineers and analysts to improve data accessibility and accuracy. • Support ongoing model performance monitoring and iterative improvements. • Support MMM and app maintenance and development for simulation and optimization and further development. Push changes to production using AWS Sagemaker, EC2, Terraform, Bitbucket, etc. • Assist with ad-hoc data requests, data exploration and building business knowledge models. Build intelligent dashboards if needed using SQL, PBI. • Conduct cross-functional collaboration, stakeholder meetings and provide documentations and internal trainings. • Lead projects, manage timelines, and ensure deliverables meet the business objectives and are delivered on time. • Perform other duties as assigned or apparent. • Work with marketing and product teams to design experiments, measure campaign ROI, and inform strategy.