Join a remote-first team supporting global organizations through advanced data science, analytics, and marketing intelligence solutions. Design measurement frameworks, predictive models, and analytics solutions that transform complex customer, healthcare, CRM, and media data into actionable insights driving strategic marketing decisions. Requires 5-8 years of experience in data science or marketing analytics with strong Python, SQL, and statistical analysis skills.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Marketing Data Scientist based in Brazil.
Join a remote-first team supporting global organizations through advanced data science, analytics, and marketing intelligence solutions. In this role, you will transform complex customer, healthcare, CRM, and media data into actionable insights that drive strategic marketing decisions. You will design measurement frameworks, predictive models, and analytics solutions that help organizations better understand audiences, optimize campaigns, and improve business outcomes. Working with international teams, you will combine technical expertise, business understanding, and strong communication skills to influence decision-making at all levels. This opportunity is ideal for an experienced data scientist passionate about analytics innovation, continuous learning, and solving complex business challenges.
Accountabilities
- 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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- 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.
- Competitive salary range of USD $2,500-$3,500 per month, depending on experience and skill level.
- Fully remote position with flexibility to work from Brazil.
- Opportunity to support global clients and work on impactful healthcare and marketing analytics projects.
- Independent contractor arrangement through a payroll platform.
- Exposure to advanced analytics technologies, AI-powered workflows, and international collaboration.
- Professional growth opportunities through challenging data science initiatives and knowledge sharing.
- Remote work environment designed for autonomy, flexibility, and continuous learning.
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We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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