Our client, a realty company, is seeking a Data Science – Search/Recommendations
Location: Remote
Position Type: Full Time
Job Responsibilities:
Develop predictive, explanatory models and machine learning algorithms.
Create automated learning systems that gracefully scale to increasing complexity and expectation.
Perform exploratory analysis on client’s wealth of data including consumer web and mobile behavior and North America’s most comprehensive and up-to-date listings and properties data set.
Effectively partner with product and engineering teams to build new data driven and machine learning based features for enriching the consumer experience of home shoppers, renters and sellers.
Design and build data science solutions to drive revenue growth, customer retention and support strategic decision making.
Generate descriptive visualizations and presentations to communicate insights.
Drive A/B & multivariate tests and design of experiments to facilitate testing of new product and design features, with focus on improving engagement, retention, and conversion.
Help improve the scope of our data sets by identifying new data collection and procurement opportunities on an ongoing basis.
Mentor a team of data scientists on data exploration, machine learning and developing data-oriented products.
Work with a sense of ownership and urgency, advocate for experimentation based, agile culture.
Requirements:
MS in computer science, statistics, mathematics, operations research or related fields.
5+ years of relevant experience in data science, machine learning or applied statistics.
Experience with Machine Learning, Learning to Rank, statistical models and data mining tools and underlying algorithms.
Experienced in Python, R, Spark or other languages and frameworks appropriate for large scale analysis of structured and unstructured data.
Working experience with relational databases (SQL) and large scale distributed systems.
Experience with experiment design and A/B and multivariate tests.
Proven track record of developing online data products.
Strong creative thinking and problem solving skills.
Excellent oral and written communication and presentation skills.