A growing SME who's mission is to make buying a home as easy as booking a vacation and twice as fun are expanding their team.

They are financially-backed and informed by the largest online real estate company in the world, with plenty of growth ahead. Due to growth they are seeking a Lead Data Scientist to join the team.

Responsibilities:

Big Data and other unstructured data to tap untouched data sources and deliver insight into new and emerging solutions
Build predictive models with artificial neural networks and advanced machine learning techniques; interpret and present modeling and analytical results to non-technical audience
Compile complex predictive model packages for production deployment; support model installations, and monitor and calibrate production models
Conceptualize, analyze and develop actionable recommendations for strategic challenges facing the organization
Work with key stakeholders and understand their needs to develop new or improve existing solutions around data and analytics.
Remain current on new developments in data analytics, Big Data, predictive analytics, and technology.
Work closely with customers, business partners, and application development teams to improve revenue generation by statistical analytics and data mining.
Develop warehousing data across multiple platforms and computing environments for better data mining infrastructure
Define financial and analytic metrics to measure development and production outcomes and produce performance reports

Key Qualifications:

At least five years’ experience in modeling and predictive analytics, using tools like SAS, SPSS or R, and building statistical models
Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with TB+ size data sets
Experience utilizing both qualitative analysis (e.g., content analysis, phenomenology, hypothesis testing) and quantitative analysis techniques (e.g., clustering, regression, pattern recognition, descriptive and inferential statistics)
Excellent communication skills, communicating with diverse teams including data scientists, engineers, product managers, and executive management. Able to explain technical terms to colleagues who have no analytical background
Provide a unique blend of skills that unlock the insights of data and tell a fantastic story through the data, with a passion for problem-solving, comfort with ambiguity, and creativity
Ability to thrive in a dynamic and fast-paced environment and drive change, and collaborate effectively with a variety of individuals and organizations
Specific experience in building online personalization and recommendation engines is a plus
MS or PhD degree in a quantitative discipline (applied mathematics, statistics, computer science, operations research, machine learning, or related field) from a leading academic institution

Senior Data Scientist