Senior Data Scientist: AI Forecasting for Retail (Remote)

cognira; Atlanta (GA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary and equity plans

Excellent medical insurance and 401K

21 paid days off and holidays

Work From Anywhere

Casual dress code and on-site gym

Mentorship program

Referral bonus

Laptop and IT kit provided

Job summary

Cognira is seeking a Data Scientist to solve real-world retail data problems, design forecasting models, and implement solutions on Cognira’s platform. You’ll shape forecasting processes, build innovative feature sets, train cutting-edge models, and enhance predictive power.

You’ll collaborate with cross-functional teams, translate complex data into business value, and contribute to client projects from design to delivery. Strong Python, ML, and communication skills are required.

Qualifications

• Deep understanding of machine learning and artificial intelligence.

Responsibilities

• Develop new models and algorithms for client forecasting and pricing strategies.
• Implement features in Cognira’s forecasting platform.
• Apply statistical analyses to real-world business problems.
• Process, cleanse, and verify data integrity for analysis.
• Create and maintain rich visualizations from data interpretations.
• Write maintainable, well-documented code.
• Collaborate with cross-functional teams and client SMEs.

Skills

Machine learning

Communication

Project management

Python

Git

Jira

Spark

Kubernetes

Linux

Self‑learning

Education

Bachelor's degree in CS / Math / Stats / Physical sciences

PhD (nice to have)

Tools

Pandas

PySpark

NumPy

Git

Jira

Spark

Kubernetes

Job description

Cognira is seeking a Data Scientist to solve real-world retail data problems, design forecasting models, and implement solutions on Cognira’s platform. You’ll shape forecasting processes, build innovative feature sets, train cutting-edge models, and enhance predictive power.

You’ll collaborate with cross-functional teams, translate complex data into business value, and contribute to client projects from design to delivery. Strong Python, ML, and communication skills are required.