We all know every decision should be driven by data. But what about the data you don’t know? For years, the status quo in data aggregation has lacked visibility, moved slowly, and cost too much. Leaving organizations to make critical decisions, day after day, without the whole picture. Premise changes that.
Across 138 countries and counting, our technology connects communities of global smartphone users to source actionable data in real-time, cost- effectively, and with the visibility you need. So leaders inside organizations, non-profit agencies and governments can now make the best decisions under the best conditions.
With Premise, organizations win. And communities win, too. People can earn more from their opinions and discoveries. They can influence their cities for the better. And, unlike other data sourcing methods out there, they can do it all with full transparency that the data they’re gathering is going to an organization that values it, and values them.
We’re growing rapidly, and we’re looking for a highly motivated, energetic, and forward-thinking Staff Data Scientist and Researcher in Mexico City or Bogotá to be a fundamental part of Premise’s Models & Methodology team. In the role of Staff Data Scientist and Researcher you will be part of a team of highly talented individuals and be responsible for helping manage and transform the data to discover insights, producing clear and compelling actionable recommendations, and you will be the bridge between our clients (internal and external) and data intelligence. If you are excited to work with large volumes of data, develop predictive models, and see the real impact of your work in the market, this is your opportunity!
Premise thinks differently about market research, an industry undergoing fundamental changes right now. We’re adopting technology around new data collection methods, geolocation and in-the-moment CX that will modernize how (and how deeply) companies understand their customers. If you’re looking to impact the future of global insights and analytics, then let’s talk.
What You Bring Along
- Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, Physics, or a related STEM field.
- 7+ years of industry experience in applied machine learning, data science, or a closely related analytical role.
- Expertise in computer vision, multi-view geometry, structured reconstruction, and 3D scene understanding.
- Hands-on experience with 2D and volumetric object detection.
- Strong programming skills in Python and ML frameworks such as PyTorch or TensorFlow.
- Proficient in SQL and relational databases.
What You Will Do
- Shape the direction of key Computer Vision initiatives that transform the company’s methodology for collecting product insights from traditional trade stores.
- Translate evolving business needs into technical implementations by gathering requirements, defining OKRs, and aligning milestones with organizational goals.
- Drive the full lifecycle of data science solutions, from research and prototyping to modeling and performance evaluation, ensuring scalable deployment and measurable business impact, and working with Stakeholders to productionize the research results.
- Lead and mentor a cross-functional squad of engineers and scientists, fostering a high-performing, collaborative environment focused on technical excellence and continuous improvement.
- Communicate complex technical concepts, model performance, and project outcomes effectively to stakeholders, including non-technical audiences and executive leadership.
Preferred Qualifications
- Familiarity with recent advancements in Gaussian Splatting and Neural Radiance Fields (NeRFs).
- Experience deploying machine learning models to production environments, ensuring scalability, reliability, and maintainability.
- Proven track record of delivering high-impact projects in fast-paced, cross-functional environments.