Latch was founded in NYC a decade ago with a vision to create unparalleled experience for residents through hardware and software. Now after 100+ million unlocks, we're continuing that vision to transform how people interact act with spaces everywhere.

Our mission is to unified access to spaces, services, and experiences that redefine the way we live, work, and connect. We do this by combining software, products, and services into a holistic platform that makes spaces more efficient, enjoyable, and profitable.

Recently, we've acquired Honest Day’s Work, propelling us toward a seamless residential ecosystem. Think empowered building owners, operators, and residents with secure access.
Led by CEO Jamie Siminoff's visionary expertise, we're shaping the future of spaces.
 

About the Role:

As a Hardware Quality Data Analyst at Latch, you will play a critical role in leveraging data to
enhance the reliability and performance of our hardware products. Your primary focus will be on
analyzing datasets to predict failure modes, estimate product lifetimes, and identify trends in
product performance. Your insights will guide design improvements, shape testing procedures,
and inform product development strategies. We are seeking a detail-oriented professional with
strong expertise in data analysis, statistical modeling, and predictive maintenance. Your work
will be instrumental in shaping the quality and performance of Latch’s products, significantly
contributing to our reputation for excellence and reliability in the market.

Responsibilities: 

• Perform root cause analysis on product failures
• Execute and monitor engineering evaluation tests under supervision
• Support product reliability testing
• Assist in collecting, reporting, and analyzing product failure data
• Help with lab logistics, including organizing and shipping equipment
• Setup and maintain lab equipment

• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
• Proven experience in data analysis, statistical modeling, and predictive analytics.
• Proficiency in data analysis tools and programming languages such as Python.
• Experience with data visualization software like Tableau, Deepnote, or Looker.
• Strong understanding of statistical techniques and methodologies.
• Familiarity with database management systems and querying languages (e.g., SQL).
• Excellent problem-solving skills and attention to detail.
• Ability to communicate complex data findings effectively to both technical and non-technical stakeholders.
• Experience with hardware systems and reliability engineering is a plus.

Joining us means:

• Having teammates all over the world in the US, Argentina, Mexico, Italy, Uruguay, Portugal, and Spain.
• Collaborating in a fast-paced environment where you can apply what you have learned in new challenges, and, more importantly, grow your career.
• Being encouraged to invent and innovate within your role and working in a company where calculated risk-taking is highly encouraged and thinking outside the box is a must.

We embrace diversity and strive to create an inclusive and equitable environment for all.

• Communications from Latch or Door will always come from @latch.com or @door.com. Do not accept a job interview invitation with Latch or Door from anyone who does not contact you through an email that comes from @latch.com or @door.com.
• Latch never interviews candidates via Skype or in writing where you do not see the interviewer. All of our interviews happen either by video or in person.
• We  will never offer you a job based on a single conversation with someone claiming to be from our People organization. In all of our job interviews, you will always speak, by video or in person, with the hiring manager for the position.
• Do not share your sensitive personal information with anyone who purports to offer you a job at Latch or Door unless you verified that the offer is from Latch or Door (check email senders addresses). We will never ask you for your bank account information or your mother’s maiden name during the interview process.
• We will never ask you to purchase any equipment with a promise that we will reimburse you after you begin working for us.
• If you believe you were a victim of a job scam, you may report it to the FBI: https://www.ic3.gov/.