We Make Remote Work Remarkable • TopTalent from LatAm
Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.
We need an English-fluent Senior Marketing Data Scientist, based in Latin America, available to work remotely.
We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.
Are you the one we are looking for?
Responsibilities:
- Analyze large volumes of customer, CRM, media, healthcare, and behavioral data to identify patterns and business drivers.
- Develop measurement frameworks for pharmaceutical and healthcare marketing initiatives.
- Build segmentation models, behavioral analyses, audience scoring models, attribution methodologies, and predictive analytics solutions.
- Leverage Python, SQL, AI tools, and workflow automation to accelerate analytics delivery.
- Translate complex analytical findings into business language and prepare executive-ready presentations.
- Mentor junior analysts and promote a culture of curiosity, learning, and continuous improvement.
- Act as a trusted analytics partner for Strategy, Media, and Client Services teams.
Requirements:
- 5–8 years of experience in Data Science, Healthcare and Pharma Marketing Analytics, Customer Analytics, Business Intelligence, and Measurement & Attribution.
- Strong preference for candidates with experience in pharmaceutical marketing, healthcare marketing, paid media analytics, CRM and customer engagement analytics, and marketing measurement and attribution.
- Proficiency in Python, SQL, statistical analysis, data modeling, predictive analytics, Power BI, and data transformation and ETL concepts.
- Exceptional English communication skills, including the ability to lead meetings, present complex concepts to non-technical audiences, and produce executive-level insights.
- Comfortable working within U.S. Eastern Time business hours and collaborating with U.S.-based teams.
It's a Plus:
- Experience with Marketing Mix Modeling (MMM), machine learning, forecasting, Azure ecosystem, AI-assisted analytics workflows, and marketing attribution frameworks.
- Demonstrates characteristics such as curiosity, autonomy, critical thinking, and the ability to navigate ambiguity.
Compensation:
- The Salary range offered for this position varies from (USD) $2,000 - $3,000 per month, depending on seniority and skillset.
- This position is for an independent contractor, through a payroll platform.
- The talent will work REMOTELY allocated at our client.
Here are the steps for this process:
Application review/approval > Screening interview with GoFasti's team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.
Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process.
Note for Candidates Approached Directly:
If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting.
Thank you!
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
