Senior Marketing Data Scientist
New
Brazil, U.S. Eastern Time business hoursContractSenior
Salary2,500 - 3,500 USD per month
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Job Details
- Languages
- English
- Experience
- 5–8 years
- Required Skills
- PythonSQLETLMachine LearningMicrosoft Power BIAzureData modeling
Requirements
- 5–8 years of experience in Data Science, Marketing Analytics, Healthcare Analytics, Customer Analytics, Business Intelligence, Measurement, or Attribution.
- Strong experience in pharmaceutical marketing, healthcare marketing, paid media analytics, CRM analytics, customer engagement analytics, or marketing performance measurement.
- Advanced proficiency in Python, SQL, statistical analysis, data modeling, predictive analytics, Power BI, and ETL/data transformation concepts.
- Experience developing analytical frameworks and communicating insights that influence business strategy.
- Exceptional English communication skills, including the ability to lead meetings, present complex concepts clearly, and create executive-level reports.
- Ability to collaborate effectively with U.S.-based teams while working within U.S. Eastern Time business hours.
- Strong problem-solving abilities, curiosity, autonomy, attention to detail, and comfort navigating ambiguity.
- Experience with Marketing Mix Modeling (MMM), machine learning, forecasting, Azure, AI-assisted analytics workflows, or advanced attribution frameworks is considered a plus.
Responsibilities
- Analyze large and complex datasets across customer, CRM, media, healthcare, and behavioral sources to identify trends, patterns, and key business drivers.
- Develop advanced analytics solutions, including segmentation models, audience scoring frameworks, attribution methodologies, predictive models, and behavioral analyses.
- Build measurement frameworks for healthcare and pharmaceutical marketing initiatives to evaluate performance and business impact.
- Use Python, SQL, AI tools, and workflow automation solutions to improve analytics delivery and operational efficiency.
- Translate complex analytical findings into clear business recommendations and executive-ready presentations for non-technical stakeholders.
- Partner closely with Strategy, Media, and Client Services teams as a trusted analytics advisor.
- Mentor junior analysts and contribute to a culture of knowledge sharing, curiosity, and continuous improvement.
- Continuously evaluate new analytical approaches, technologies, and AI-assisted workflows to enhance data-driven decision-making.
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