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Location
San Mateo ( SF)
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Sector:
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Job type:
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Salary:
Circa $150,000- $250,000
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Contact:
Jason Rumney
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Contact email:
jason@intelletec.com
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Startdate:
ASAP
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Consultant:
Jason Rumney
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:
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Big Data and other unstructured data to tap untouched data sources and deliver insight into new and emerging solutions
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Build predictive models with artificial neural networks and advanced machine learning techniques; interpret and present modeling and analytical results to non-technical audience
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Compile complex predictive model packages for production deployment; support model installations, and monitor and calibrate production models
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Conceptualize, analyze and develop actionable recommendations for strategic challenges facing the organization
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Work with key stakeholders and understand their needs to develop new or improve existing solutions around data and analytics.
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Remain current on new developments in data analytics, Big Data, predictive analytics, and technology.
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Work closely with customers, business partners, and application development teams to improve revenue generation by statistical analytics and data mining.
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Develop warehousing data across multiple platforms and computing environments for better data mining infrastructure
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Define financial and analytic metrics to measure development and production outcomes and produce performance reports
Key Qualifications:
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At least five years’ experience in modeling and predictive analytics, using tools like SAS, SPSS or R, and building statistical models
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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
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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)
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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
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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
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Ability to thrive in a dynamic and fast-paced environment and drive change, and collaborate effectively with a variety of individuals and organizations
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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