Staff Applied Scientist, Mynd
$163-220k
Property management company
Job no longer available
Property management company
501-1000 employees
Job no longer available
$163-220k
501-1000 employees
Company mission
To make real estate investing radically accessible, cost-effective, and simple.
Role
Who you are
- Masters/Ph.D. degree in a quantitative field (mathematics, statistics, finance, physics, etc.)
- 6+ years of experience as a data scientist working on machine learning models in big data environments
- Mastery in a scripting language (Python) and a database querying language (SQL)
- Strong programming and data engineering skills
- Experience implementing machine learning models and optimization algorithms on large data sets
- Strong intellectual curiosity and critical-thinking skills
- Solid written and verbal communication skill
What the job involves
- As an Applied Scientist at Mynd, you will be part of a high-performing team building predictive models for a full-stack real estate business
- You will leverage machine learning and data engineering tools, and apply operations research and statistical methods to solve complex challenges like vacancy rates estimation, rent predictions, price valuations, customer churn, routing problems etc. that have tangible impact on the company’s growth and bottom line
- You will be a key contributor to Mynd’s machine learning strategy and help design systems that support natural language processing, computer vision, and generative AI
- This high visibility role offers the opportunity to collaborate closely with cross-functional business partners and present solutions to broad audiences as you drive strategic business decision making and help build the company’s infrastructure and tech stack
- Develop deep understanding of customer problems and operational metrics
- Partner with stakeholders to turn vague issues into well-defined and measurable optimization problems
- Lead the design and implementation of end-to-end machine learning projects that have a high degree of ambiguity and complexity
- Create and maintain data pipelines for data collection, feature engineering, and model training
- Work closely with engineering teams to integrate machine learning models into production applications, ensuring scalability, stability, and maintainability
- Design and implement data pipelines and KPIs to track model accuracy and usage
- Improve model performance through integration of new datasets and A/B testing
- Provide technical leadership and contribute to the growth and development of the data science team
Our take
Mynd is a property management company that aims to exceed the service delivery of traditional businesses in the $20 billion, non-institutional rental sector. The company makes it possible to complete leases in an extremely short timeframe, while also offering both tenants and landlords a variety of useful tools.
Mynd offers 3D tours to tenants, while automatically syndicating properties to every major listing site. The dedicated leasing team at Mynd also connects people with properties rapidly, ensuring that renting homes is more convenient.
For Landlords, Mynd offers a range of financial tools, which enable them to view their current financial position via transparent charts and reports. Mynd has put together a database of vendors and tradespeople, which provides services to landlords and tenants alike. This has attracted major investment between 2016 and 2023, the most recent of which is being used to expand its operations and carry on updating its platform.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-10% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jul 2023
$30m
LATE VC
Sep 2021
$57.3m
LATE VC
Total funding: $204.4m
Company benefits
- Best-in-class medical, dental, and vision plans through Anthem, Blue Shield, or similar. HMO & PPO plans available for you and your family
- Life & disability insurance
- Wellness apps
- $600 per year wellness subsidy towards fitness coaching, acupuncture, massage, gym or class memberships, or in-home exercise equipment
- Employee Assistance Program (EAP)
- Unlimited paid time off
- Paid volunteer time off (20 hours/year)
- 13 paid holidays per year
- Flexible Spending Accounts
- Travel assistance & commuter parking
- Company-sponsored access/memberships to: OneMedical, Perkspot, SoFi, Personal Capital, and Petplan
- Cash to purchase your own investment property through our “Project Investor Myndset” program
- Sabbatical pay
- Paid parental leave
- Home office subsidy
- Cell phone subsidy
- No meeting Thursdays
- Remote work flexibility
- Team and cross-functional offsites in cities in which we operate
- Catered lunch for in-office days
Company HQ
Downtown, Oakland, CA
Leadership
Doug Brien
(Co-Founder & CEO)Alongside Mynd, they are the President at Roofstock. They studied Political Economy at UC Berkeley before becoming a kicker in the NFL. They also previously co-founded Waypoint Real Estate.
Colin Wiel
(Chairman)Previously an Engineer at Boeing and a Consultant at HP before founding and Managing Waypoint.
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