What are the responsibilities and job description for the Senior Data Science Developer/Manager -Must Have AWS, Python, Machine learning, Marketing Analytics - Full Remote position at Mastek?
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.