About Us: Founded in 2016, Tripalink Corp. is a technology-driven residential brand specializing in co-living and standard apartments tailored for students and working professionals. It delivers a high-quality, economical, and engaging living experience through attentive services and an all-in-one technology platform that centers around the customer. As an important component of improving renters’ journey, Tripalink Corp. launched an App that allows renters to search for apartments, e-sign the lease agreement, manage their home including paying rent, requesting maintenance and cleaning, call community shuttles, use community perks, and sign up for various events etc. With ever-evolving physical living products and technology-empowered operations, Tripalink Corp. can provide the best living experience for its target renters. The company currently manages about 6,000 bed spaces in Los Angeles, Irvine, Seattle, Philadelphia, Pittsburgh, Tucson, Austin, Chicago, San Francisco, and Berkeley.
Responsibilities:
Discover areas of customer experience and product performance that can be automated through statistical and data science techniques
Conduct in-depth and complex data analysis, design and implement big data solutions for the marketing and product teams
Oversee the interpretation of information from multiple sources using statistical analysis, data science, and information management techniques and ensure high data integrity
Support CEO and Board data-informed decision-making with respect to housing product development and national market expansion
Identify business opportunities by extracting value from datasets and developing data strategies
Automate and streamline projects to increase efficiency and scalability
Develop procedures and policies for data management in the company
Requirements:
U.S. Master's Degree in Data Science, Information Management, or related
HOURS: 40 hours/week M-F 9:30AM to 6:30PM
PLACE OF EMPLOYMENT: 800 South Harvard Blvd, Ste Office, Los Angeles, CA 90005
Seniority level
Not Applicable
Employment type
Part-time
Job function
Engineering and Information Technology
Industries
Technology, Information and Internet
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