Senior Data Scientist - AI & Demand Forecasting (Remote)

Brooksource

United States

On-site

USD 150,000 - 210,000

Full time

5 days ago
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Job summary

Brooksource seeks a senior Lead Data Scientist to own AI-driven demand forecasting initiatives within a large transformation program. You will independently lead production-ready models in a remote/U.S.

or Miami setting, with no people management responsibility but significant technical leadership influence. The role calls for 7+ years in data science or analytics, deep statistical knowledge, and strong Python/Databricks experience to drive measurable business impact across procurement and

Qualifications

  • 7+ years in Data Science, ML or advanced analytics.
  • Strong statistical foundation and predictive modeling expertise.
  • Experience delivering ML/forecasting from concept to production.
  • Expertise in Python and modern ML frameworks.
  • Hands‑on Databricks deployment with PySpark and notebooks.
  • Ability to communicate technical decisions clearly.

Responsibilities

  • Lead end-to-end forecasting and ML solution development.
  • Translate complex questions into sound analytical approaches.
  • Evaluate requests and propose alternatives.
  • Design, validate, and deploy production-ready models.
  • Leverage AI tools to accelerate delivery while maintaining quality.
  • Operate within a large-scale production environment of pipelines and notebooks.
  • Collaborate with business leaders, data teams, and engineering.

Tools

Python
Databricks
PySpark
ML frameworks
Forecasting
Production deployment

Job description

Brooksource seeks a senior Lead Data Scientist to own AI-driven demand forecasting initiatives within a large transformation program. You will independently lead production-ready models in a remote/U.S.

or Miami setting, with no people management responsibility but significant technical leadership influence. The role calls for 7+ years in data science or analytics, deep statistical knowledge, and strong Python/Databricks experience to drive measurable business impact across procurement and

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