We are Humantel — a dynamic startup bridging the worlds of data, technology and marketing. Our subscription-based market research platform delivers insights based on the world’s largest ongoing surveys of human emotions, values and attitudes. Big Data tells marketing professionals what consumers do. Our unique brand of human intelligence tells them why.
Our business is all about what motivates people. We apply that in the workplace to think and act in ways that support, encourage, and connect you. It takes a flat organization, a creative spirit, and a maverick mindset to create something truly new and innovative together.
The Humantel team are global professionals in market research, data science, insights, content creation, and technology. We are united by the belief that human intelligence must be part of every business decision — and there’s a better way to make that happen.
The Data Scientist will support our product, sales, leadership and marketing teams with insights gained from analyzing market research data. The Data Scientist is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams.
ESSENTIAL DUTIES AND RESPONSIBILITIES:
Work with stakeholders throughout the organization to identify opportunities for leveraging market research data to drive business solutions
Mine and analyze data to drive optimization and improvement of product development, marketing techniques and business strategies
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets that can be replicated across surveys
Monitor and closely partner with sample provider to ensure quality of data
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy within data teams.
Understand project requirements and translate them into innovative solutions and approaches to data collection that align with the platform specifications
Develop and guide protocols in how the data should be tracked and measured for analysis and reporting
Identify data risks and implement remedies as required
Perform quality audits to ensure data integrity and security, including identifying data collection and technical issues; suggest and follow up with improvements
Develop and implement intuitive approaches in order to provide end-users access to select data profiles
Review and challenge sampling plan and monitor fielding for quality assurance in partnership with sample provider
Implement and maintain internal and third-party analytics platforms as it relates to processing, storage, and broadcasting
Provide easy access to select data profiles based on end-user needs
Develop and guide protocols in how the data should be tracked and measured for analysis and reporting
Manipulate large data sets using database tools/techniques to uncover patterns and trends that will address end-user needs
EDUCATION and/or EXPERIENCE:
BA or Masters in Statistics, Mathematics, or Computer Science is preferred
Experience with attitudinal Market Research data
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Application of advanced statistical techniques and concepts (such as factor analysis, logistic regression, OLS regression, cluster analysis, correspondence analysis, discriminant analysis, segmentation, and structural equation modeling) and experience with applications.
Ability to address missing data, run data corrections, use weighting, and calculate measures of reliability and validity
JOB QUALIFICATIONS
Minimum of 4 years’ experience manipulating data sets and building statistical models
Experience in a Market Research Environment
Proficiency in Structural Equation Modeling (SEM)