Lead Data Scientist — Time-Series ML in Production

SightPlan; Phoenix (AZ); On-site; USD 130,000 - 190,000; Full time

Job summary

SmartRent is seeking a Lead Data Scientist in the Phoenix, AZ area to define and execute the analytics roadmap for next‑gen offerings. You will lead the model development lifecycle in a Databricks environment, collaborating across Data, AI, Product, and Engineering to deliver measurable value.

You will build time-series models, apply anomaly detection, and drive end-to-end ML initiatives from design to production, with a strong emphasis on impact and scalability.

Qualifications

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

Responsibilities

• Frame business problems with Product and Revenue and define modeling success metrics.
• Create compelling data visualizations that support storytelling and inform models.
• Build ML models on large-scale time-series telemetry (anomaly detection, failure prediction, time-to-event).
• Develop clean, well-documented code that promotes reuse and efficiency.
• Ship models to production on Databricks and monitor post-launch.
• Partner with Engineering to scale and harden production workloads.
• Design experiments and impact analyses tying model performance to outcomes.
• Set modeling standards and documentation practices.

Skills

Time series modelling

Anomaly detection

Ensemble modelling

SQL

Python

Experiment design

Communication

Education

Bachelor's degree in CS/Math/Stats/Engineering

Tools

Databricks

Feature stores

Experiment management

Git

Terraform

Job description

SmartRent is seeking a Lead Data Scientist in the Phoenix, AZ area to define and execute the analytics roadmap for next‑gen offerings. You will lead the model development lifecycle in a Databricks environment, collaborating across Data, AI, Product, and Engineering to deliver measurable value.

You will build time-series models, apply anomaly detection, and drive end-to-end ML initiatives from design to production, with a strong emphasis on impact and scalability.