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Data Science Associate/ Temporary Associate

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Date: Feb 6, 2019

Location: Irvine, CA, US, 92617

Company: The Irvine Company

Position Summary:

Data Science - Temporary Associate (3-6 months)
This individual will participate in the definition of new analytics capabilities, and support our artificial intelligence and machine learning initiatives. This role will provide business teams with the information and data sets needed to support our technology team in developing solutions which deliver on efficiency and productivity goals. 

Job Duties:

Responsibilities
  • Designing and deploying Machine Learning algorithms for enterprise applications such as predictive analytics for solutions such as preventive maintenance, lead scoring, and renewals.
  • Collaborating with data and subject matter experts to seek, understand, validate, interpret, and correctly use new data elements and pilot solutions
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
 
Illustrative Projects and Initiatives:
  • Lead Scoring
  • Cost of Vacancy
  • Lead-to-Lease Conversion
  • Predict optimal price point for each property
  • Predict impact of reinvestment and revenue
  • Predict willingness of customer to upgrade/downgrade
  • Predict leading indicators for repairs using historical service data
  • Predict cross-channel marketing budget powered by inventory performance and forecast

Minimum Qualifications:

  • Pursuing a Graduate Degree in Computer Science, Statistics, Business Intelligence or equivalent field.
  • Applied Machine Learning experience (regression and classification, supervised and unsupervised learning, clustering, decision tree learning, neural networks, etc.).
  • Strong mathematical background (linear algebra, calculus, probability and statistics).
  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Familiarity with implementation skills (Tensorflow, Python, C++, JavaScript)
  • Familiarity with Google Drive and G-Suite Applications
  • Experience with Data Analytics (Database or Advanced Sheet Pivot skills)
  • Preferable: experience in working with cloud platforms such as AWS or GCP and compute capabilities.
  • Note: Expected hours: 20-40 hours/week.


About Us:
Irvine Company is a privately held real estate investment company and master-planner committed to creating and sustaining communities that thrive for generations.

With diversified operations throughout coastal California, Irvine Company plans and brings to life balanced, sustainable communities with a full range of housing, job and retail centers, schools, recreation and permanently preserved open space.

We take as much pride in our employee community as we do the communities we create. It’s an environment populated with talented and experienced people, a collaborative spirit and abundant opportunities.

Apply today to join our employee community, and learn more about Irvine Company, our legacy and our guiding principles.


The Irvine Company is committed to providing equal opportunity in all of our employment practices, including selection, hiring, promotion, transfer, compensation, termination, and training, without regard to race, religion, color, sex, sexual orientation, gender, gender identity, national origin, ancestry, citizenship status, marital status, pregnancy, age, medical condition, genetic information, military and veteran status, disability, or any other basis protected by federal, state, and local law. Reasonable accommodation is available for qualified individuals with disabilities, upon request.


Nearest Major Market: Irvine California
Nearest Secondary Market: Los Angeles

Job Segment: Real Estate, Sales

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