Mastek
Lead Data Scientist/Manager -Must Have AWS, Python, Machine learning, Marketing
Mastek, Phoenix, Arizona, United States, 85003
Senior Data Science Developer/Manager – Must Have AWS, Python, Machine learning, Marketing Analytics – Full Remote
Role: Data Science Developer/Manager
Location: Remote
Technical Skills
Proficient in machine learning and statistical model development, simulation, optimization, and deployment in AWS.
Proficient in SQL, Python, and R for data integration and modeling projects.
Advanced in AWS SageMaker, EC2, S3, Terraform, Bitbucket, etc. for deployment projects.
Advanced in Power BI, Excel, and Streamlit for analytics and visualization projects.
Experience with Terraform, EC2, MMM, and optimizer applications—considered 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 and product teams to translate modeling results into clear business insights and recommendations that drive growth and ROI; 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 application maintenance and development for simulation and optimization; 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 as needed using SQL and Power BI.
Conduct cross‑functional collaboration, stakeholder meetings, provide documentation, and deliver internal training.
Lead projects, manage timelines, and ensure deliverables meet 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.
Seniority Level Mid‑Senior level
Employment type Contract
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Location: Remote
Technical Skills
Proficient in machine learning and statistical model development, simulation, optimization, and deployment in AWS.
Proficient in SQL, Python, and R for data integration and modeling projects.
Advanced in AWS SageMaker, EC2, S3, Terraform, Bitbucket, etc. for deployment projects.
Advanced in Power BI, Excel, and Streamlit for analytics and visualization projects.
Experience with Terraform, EC2, MMM, and optimizer applications—considered 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 and product teams to translate modeling results into clear business insights and recommendations that drive growth and ROI; 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 application maintenance and development for simulation and optimization; 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 as needed using SQL and Power BI.
Conduct cross‑functional collaboration, stakeholder meetings, provide documentation, and deliver internal training.
Lead projects, manage timelines, and ensure deliverables meet 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.
Seniority Level Mid‑Senior level
Employment type Contract
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