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Lead Data Scientist/Manager -Must Have AWS, Python, Machine learning, Marketing Analytics, statistical techniques - Full Remote
Lead Data Scientist/Manager -Must Have AWS, Python, Machine learning, Marketing Analytics, statistical techniques - Full RemoteMastek • Surprise, AZ, United States
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Lead Data Scientist / Manager -Must Have AWS, Python, Machine learning, Marketing Analytics, statistical techniques - Full Remote

Lead Data Scientist / Manager -Must Have AWS, Python, Machine learning, Marketing Analytics, statistical techniques - Full Remote

Mastek • Surprise, AZ, United States
1 day ago
Job type
  • Full-time
  • Remote
Job description

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.
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    Must Have • Surprise, AZ, United States

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