Lead Data Scientist

SmartRent; Phoenix (AZ); On-site; USD 150,000 - 210,000; Full time

Job summary

SmartRent in Phoenix seeks a Lead Data Scientist to define and execute the analytics roadmap for next-generation offerings, focusing on decision-support models and ML for property operations within a Databricks environment.

You'll partner across Data, AI, Product, and Engineering to deliver measurable value, ship models to production, monitor performance, and elevate analytics maturity in a fast-evolving proptech platform.

Qualifications

• 7+ years in data science with production models.
• Deep expertise in time series, anomaly detection and ensemble methods.
• Hands-on wrangling and modeling in Databricks.
• Advanced SQL and Python for large data sets.
• Strong experiment design and causal/impact measurement.
• Ability to communicate technical concepts to non-technical audiences.

Responsibilities

• Frame business problems with Product and Revenue partners and turn them into modeling approaches with clear success metrics.
• Create data visualizations that support storytelling and inform predictive models.
• Build machine-learning models on large-scale time-series telemetry, including anomaly detection, failure prediction, and time-to-event models.
• Develop clean, well-documented code that promotes reuse and drives operational efficiency.
• Ship models to production on Databricks, and support their quality after launch: monitoring, diagnosing drift, and retraining.
• Partner with Engineering to scale and harden production workloads.
• Design experiments and impact analyses that tie model performance to customer and revenue outcomes.
• Set modeling standards and documentation practices for a growing team.

Skills

Time series

Anomaly detection

Ensemble modelling

SQL

Python

Experiment design

Communication

Data visualization

Education

Bachelor's degree in CS/Math/Stats/Engineering or related quantitative field

Tools

Databricks

Feature stores

Experiment management

Job description

SmartRent (NYSE: SMRT) is revolutionizing how people live and work with the industry’s only end-to-end platform designed for the rental housing industry. By uniting purpose-built software, integrated hardware and full implementation and support in one ecosystem, we help owners and operators simplify operations, cut costs and deliver exceptional resident experiences. Recognized by Deloitte, HousingWire and the PropTech Breakthrough Awards, SmartRent is shaping the future of property technology and redefining what it means to make rental housing smarter.

Job Description

As Lead Data Scientist, you will define and execute the analytics and predictive data roadmap for SmartRent’s next-generation offerings, starting with decision-support models and machine learning for optimal property operations. You will spearhead the model development lifecycle from stakeholder collaboration to deployment within a Databricks environment.

Reporting to the SVP of Enterprise Data and AI in our new and transformational organization, you will combine quantitative rigor with practical problem-solving to deliver measurable value to internal and external stakeholders. You will partner with Data, AI, Product, and Engineering peers to solve our most complex challenges.

Responsibilities

• Frame business problems with Product and Revenue partners and turn them into modeling approaches with clear success metrics.
• Create compelling data visualizations that support insightful story telling and inform the design of predictive models.
• Build machine-learning models on large-scale time-series telemetry, including anomaly detection, failure prediction, and time-to-event models.
• Develop clean, well-documented code that promotes reuse and drives operational efficiency within the organization.
• Ship models to production on Databricks, and support their quality after launch: monitoring, diagnosing drift, and retraining.
• Partner with Engineering to scale and harden production workloads.
• Design experiments and impact analyses that tie model performance to customer and revenue outcomes.
• Set modeling standards and documentation practices for a growing team.

Required Qualifications

• Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field; or equivalent professional experience.
• 7+ years in data science, with a track record of models running in production that customers or products relied on.
• Deep expertise in time series, anomaly detection and ensemble modelling methods.
• Hands-on experience wrangling and modelling data in Databricks, plus platform capabilities like feature stores and experiment management.
• Advanced usage of SQL and Python to organize large, complex datasets.
• Strong proficiency in experiment design and causal or impact measurement.
• Passion for communicating and presenting technical concepts to non-technical audiences.

Preferred Qualifications

• Experience with applying LLMs within data science workflows, such as feature extraction from unstructured data, LLM-assisted analysis, or evaluating generative outputs.
• Experience enabling self-service data access in Databricks using features such as AI/BI Dashboards and Genie.
• Exposure to deploying machine learning pipelines end-to-end including implementing MLOps best practices.
• Experience in proptech, real estate technology, IoT, or SaaS platform environments.
• Familiarity with Git-based version control and Terraform.

We Put Our Employees First

We offer a comprehensive and competitive benefits package designed to support your well-being and future. For our US employees, this includes medical, dental, vision, and life insurance with low deductibles and 75–100% employer contributions. We also provide flexible and generous PTO (because we know how important work-life balance is), a competitive 401(k) with employer contributions, paid parental leave, discounted insurance plans for pets and legal services and an employee stock purchase plan to help you invest in your future.

You’ll fit right in if you:

Do the hard work and go out of your way to deliver excellence

Own outcomes and learn from your mistakes

Are a collaborative and supportive team player—win or lose, you lift others up

Value authenticity, diverse perspectives, and inclusion in the workplace

Have a passion for smart tech and the real estate industry

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in SmartRent’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.