Data Scientist

Cortland; Atlanta (GA); On-site; USD 110,000 - 140,000; Full time

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

As a Data Scientist, you’ll design and deploy advanced analytics and machine learning solutions that address critical investment and operational challenges. Your work will transform complex data into scalable, production‑ready insights that drive smarter decisions and accelerate Cortland’s growth.

• Partner with business stakeholders to identify, prioritize, and deliver high‑value predictive and optimization use cases.
• Design, build, and maintain machine learning and statistical models that support ongoing operational and investment strategies.
• Collaborate with data and engineering teams to establish the infrastructure, pipelines, and processes required for production analytics.
• Develop end‑to‑end solutions, including model development, deployment, monitoring, and continuous improvement.
• Leverage BI, GIS, and visualization tools to clearly communicate insights to technical and non‑technical audiences.
• Serve as the technical lead for AI/agentic initiatives while educating the broader teams to effectively adopt.
• Stay current on emerging data science tools, platforms, and methodologies, bringing relevant innovations into the organization.

Qualifications

• Bachelor’s degree in a STEM‑related field (e.g., statistics, applied math, computer science, engineering, business analytics) 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, recommendation systems, and optimization techniques
• Proficiency in Python and SQL; experience with Spark, Scala, or similar tools is a plus
• Working knowledge of cloud platforms and data ecosystems (AWS or Azure), including tools such as Databricks, EMR, RDS, and S3
• Experience working with large, complex datasets and resolving performance or memory constraints
• Solid business intuition with the ability to explain analytical approaches, tradeoffs, and outcomes clearly
• Excellent communication skills, with the ability to present insights visually and tell a compelling data‑driven story