Lead Data Scientist, Digital Elevator Analytics

TK Elevator

Atlanta (GA)

On-site

USD 140,000 - 190,000

Full time

13 days ago
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Benefits offered by this job

Medical, dental, vision coverage
401(k) with company match
Paid time off and holidays

Job summary

TK Elevator in Atlanta, GA seeks a Lead Data Scientist for Digital Elevator Solutions. You will lead ML/AI initiatives using IoT data from connected elevators and escalators, guiding projects from data exploration to deployment and monitoring.

The role requires 7+ years in data science, strong Python/SQL skills, and experience with Databricks and cloud platforms. You will partner across Field Ops, Eng, Product, and R&D in a fast‑paced, global setting.

Qualifications

  • Bachelor’s in Data Science, CS, Statistics, Math, or related field.
  • Master’s degree preferred for advanced analytics leadership.
  • 7+ years in data science, ML, or analytics with increasing responsibility.
  • Experience deploying ML/AI in production and leading projects.
  • Strong ability to translate data into measurable business value.

Responsibilities

  • Lead design, development, deployment, and optimization of ML/AI solutions for connected elevator data.
  • Analyze IoT streams and operational data to forecast service needs and failures.
  • Own full ML lifecycle from exploration to monitoring and governance.
  • Collaborate with cross-functional teams to scale North America solutions globally.
  • Communicate results and business impact to stakeholders and leaders.

Skills

Python
SQL
Databricks
Machine Learning
Big Data

Education

Bachelor's degree in Data Science or related
Master's degree preferred

Tools

Azure
AWS
Power BI

Job description

TK Elevator in Atlanta, GA seeks a Lead Data Scientist for Digital Elevator Solutions. You will lead ML/AI initiatives using IoT data from connected elevators and escalators, guiding projects from data exploration to deployment and monitoring.

The role requires 7+ years in data science, strong Python/SQL skills, and experience with Databricks and cloud platforms. You will partner across Field Ops, Eng, Product, and R&D in a fast‑paced, global setting.

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