Senior Data Scientist

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