Data Scientist (Consumer)

TL;DR

Data Scientist (Consumer): Modernizing existing production ML and analytics applications with an accent on recommendation and product availability use cases. Focus on improving model accuracy, developing feature engineering for complex business data, and driving measurable business value.

Location: Hybrid, 3 days per week in office in Atlanta, USA

Salary: $140,000 to $150,000 base + Bonus

Company

A leading consumer goods technology organisation.

What you will do

• Assess and improve data science models for recommendation and product availability use cases.
• Carry out exploratory data analysis (EDA) to understand business problems, data quality, and model opportunities.
• Build, test, and improve ML models using Python, SQL, and modern data science techniques.
• Develop strong feature engineering approaches using complex and imperfect business data.
• Support the full model lifecycle from problem discovery and development through to production and adoption.
• Partner with business stakeholders to align priorities and measure value measurement.

Requirements

• 4+ years of experience in data science, applied ML, or production analytics.
• Strong proficiency in Python, SQL, modelling, EDA, and feature engineering.
• Experience working with production models or full model lifecycle exposure.
• Ability to solve practical business problems using imperfect data.
• Strong understanding of core ML concepts, model types, and algorithm selection.

Nice to have

• Experience with Azure, Databricks, or similar cloud platforms.
• Domain experience in CPG, retail, supply chain, customer analytics, or churn modelling.

Culture & Benefits

• Permanent employment contract.
• Performance-based bonus compensation.
• Opportunity to work in a small product-style team with a high level of ownership.