Data Scientist — Production ML for Growth

Cortland

Atlanta (GA)

On-site

USD 110,000 - 140,000

Full time

17 hours ago
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Job summary

Cortland is seeking a Data Scientist in Atlanta to design and deploy advanced analytics and machine learning solutions addressing investment and operational challenges. You will transform complex data into scalable, production-ready insights that drive smarter decisions and Cortland’s growth.

Responsibilities include partnering with stakeholders, building models, deploying end-to-end solutions, and communicating insights with clear visuals.

Qualifications

  • Bachelor’s degree in a STEM-related field is required; advanced degree preferred.
  • 2+ years of professional experience applying data science or advanced analytics in a business environment.
  • Strong foundation in statistical modeling, machine learning, clustering, classification, optimization.

Responsibilities

  • Partner with stakeholders to identify and deliver high-value predictive and optimization use cases.
  • Design, build, and maintain ML and statistical models.
  • Collaborate with data and engineering teams to establish production analytics pipelines and infrastructure.
  • Develop end-to-end solutions including model development, deployment, monitoring, and continuous improvement.
  • Leverage BI/visualization tools to communicate insights to technical and non-technical audiences.
  • Stay current on data science tools and methodologies and bring innovations into Cortland.

Skills

Data storytelling
Stakeholder collaboration
Statistical modeling
ML concepts

Education

Bachelor’s in STEM
Advanced degree preferred

Tools

Python
SQL
Spark/Scala

Job description

Cortland is seeking a Data Scientist in Atlanta to design and deploy advanced analytics and machine learning solutions addressing investment and operational challenges. You will transform complex data into scalable, production-ready insights that drive smarter decisions and Cortland’s growth.

Responsibilities include partnering with stakeholders, building models, deploying end-to-end solutions, and communicating insights with clear visuals.

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