Senior Data Scientist

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.

Manager, Data Science Product Models & Methodology 

**This position is based in Bogotá / Colombia 

Are you passionate about data and transforming information into impactful business insights and strategies?

We’re growing rapidly, and we’re looking for a highly motivated, energetic, and forward-thinking Data Scientist in Bogotá to be a fundamental part of Premise Models & Methodology team. In the role of Manager Product Models & Methodology, 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.

You will be key in managing and running the data transformation models for our Market Measurement solution in key markets, as well as designing and building innovative analytical processes and frameworks. You will use your experience in modeling and analysis to generate actionable insights from millions of data points, thus optimizing our clients' strategies.

What You Bring Along

• BA/BS degree in Applied Mathematics, Applied Statistics, Econometrics, Data Science, Computational Mathematics or a related technical field—or equivalent practical experience

• 3+ years of hands-on demonstrable experience managing and running data transformation and reporting processes, ideally for the CPG industry 
• Programming experience and fluency in Python and BigQuery for data analysis, statistical modeling, and automation
• Functional mastery of English (fluency preferred)

• Strong communication skills for both technical and non-technical audiences

• Relentless drive to listen, learn, and improve the world around you
• Enjoys bringing order to complexity by structuring and optimizing analytics tasks and requests
• Proactive about documenting and sharing your work to enable team collaboration and growth
  

What You Will Do

• Manage, coordinate, and run the operations and processes of our Market Measurement solution from data cleaning, QC, to the final calculation of the different performance metrics and market share for the different reported categories.
• Integrate and manage data from various sources using APIs and cutting-edge tools.
• Perform ongoing analysis of data to uncover quality and consistency issues
• Track, report and manage KPIs for the different processes

• Lead the team in charge of the Models & Methodologies processes for the Market Measurement solution.

• Design, and build models and algorithms to enhance data collection methods, quality control processes, clustering and segmentation exercises and data transformation and expansion techniques.
• Effectively communicate analysis results and ensure they translate into concrete and successful actions in the market.