We started Knock to solve problems we faced ourselves as consumers: the process of renting an apartment sucked. It was disorganized, time consuming, and frustrating. It seemed landlords were stuck in the past and didn’t understand how to use technology to their advantage. But the problems and solutions seemed obvious to us, and we had a vision for what a better experience should be. After validating our insights with a few early customers (who became investors) we got to work partnering with real estate companies to deliver on turning that vision into reality.

Five years later, we have helped our property management customers find homes for millions of renters. We’ve developed an industry-defining SaaS platform that automates marketing, accelerates sales, lifts customer retention, and delivers critical business insights that help our customers operate their business. Our customers trust us to deliver the consumer experiences and business applications that are essential to their bottom line. The proof is in our 10x revenue growth over the past two years, in addition to our numerous industry awards. In March of 2019 we announced we raised a $10m Series A round to continue to accelerate growth and product development, led by Madrona Venture Group: https://www.geekwire.com/2019/madrona-leads-10m-round-knock-crm-communications-service-apartment-landlords/

The real estate industry is continuing to undergo an incredible technology transformation, and Knock is one of the companies driving innovation and shaping the way an entire vertical works. But even with a number of accomplishments in our past, we continue to push our vision forward and build the solutions of the future. We are on a mission to modernize the way property management companies run their businesses, by delivering the tools and insights to optimize all aspects of their sales and marketing operations. Practical uses for applied machine learning, connected IoT devices, and AI powered communication technology are all in our future here at Knock. It's a fun space with interesting problems, and provides all kinds of opportunities to get creative and build solutions our customers simply haven't seen or thought of before. If this sounds exciting, we want to hear from you!

About the Engineering Team

The Knock engineering team is comprised of a number of small autonomous teams that create exceptional value for our customers. These teams include CRM, marketing, data services, insights, partner integrations, consumer applications, mobile, and dev ops. Our product space is very stimulating - we are at the intersection of advertising, communications, consumer services, enterprise workflow, and data analytics. Our tools and applications touch every part of the consumer apartment-hunting experience, as well as every part of the back-end leasing and renewal workflows. This puts us in a very unique position to utilize advanced data science to continue to innovate and add value along the customer journey - be it predictive modeling, increased automation, or adding additional services.

We leverage a number of tools to create a cohesive development ecosystem that allows us to scale horizontally, deliver quickly, avoid regressions and maintain minimal technical debt. Our goal is 100% automated test coverage and continuous deployment, and we’re always raising the bar on quality. Below are some details about our tech stack and tooling:

Languages: Python 3, React, TypeScript, Node.js

Testing Frameworks: Jest, PyTest, CircleCI

Development/Deployment Tools: GitHub, Jira, Chef, Jenkins, Terraform, Serverless, Docker, Vagrant/Virtualbox, Prettier, Greenkeeper

Databases and Streams: Kafka, PostgreSQL, DynamoDB, Redis, Elasticsearch

Cloud Platforms: AWS, Twilio, Mailgun, Google Cloud Platform

AWS Tools: Lambda, CloudFront, CloudWatch, DynamoDB, ECS, EC2, RDS, API Gateway

Monitoring: New Relic APM, New Relic Insights, CloudWatch

About the Data Scientist role

We are looking for a talented and tenacious Data Scientist that loves solving difficult, tangible business problems. You will work closely with various internal teams to evaluate opportunities to deliver exceptional value to our customers. The ideal candidate will come with a proven ability to drive business results with their data-based insights, and are comfortable working with a wide range of stakeholders and functional teams. You have a passion for discovering insights and meaning through the noise, and delivering meaningful business outcomes. Our data asset is a unique and exciting one, and there are a number of exciting challenges where we are shaping how an industry works - including automating communications, multi-touch attribution models, sophisticated sales and marketing forecasting, dynamic asset and lease pricing, real-time ad-bidding, and much more.

Key Responsibilities

• Work with various stakeholders to identify opportunities for leveraging company data to solve meaningful business problems
• Develop, test, analyze, and interpret hypothesis to discover value
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Mine and analyze data from disparate to drive optimization and improvement of product development and business execution
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• 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.
• Coordinate with different functional teams to implement models and monitor outcomes.

Required Background, Experience and Skills

• 5+ years of experience manipulating data sets and building statistical models
• Advanced degree in Statistics, Mathematics, Computer Science or another quantitative field, or equivalent experience
• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.
• 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.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
• Strong interpersonal skills, and ability to articulate customer value is a must

Knock Benefits

• Health, Dental & Medical Insurance
• Flexible Time Off & Paid Holidays
• Gym Membership
• Stock Options
• Public transit reimbursement, free bike room storage or parking near the office provided
• Equipment provided
• Team events
• Free Lunch Fridays!

At Knock we don’t discriminate on the basis of race, religion, color, nationality, gender, sexual orientation, age, marital status, veteran status, or disability status. We welcome all types!