Machine Learning Engineer

Core Responsibilities:
Collaborate with the senior data science team to improve global market share estimates, model customer trends, and optimize ecommerce strategies

Use predictive modeling techniques to support the data science team, ensuring data-backed recommendations

Manage existing models and work on their continuous improvement by researching new data sources, fine-tuning algorithms, and building better data pipelines

Take charge of feature selection, model fine-tuning, and regression analyses

Allocate efforts between data science (80%) and Machine Learning Operations (MLOps) (20%) to facilitate seamless model deployment and operational efficiency

Requirements:
Knowledge of machine learning techniques and understanding of model evaluation metrics

3-5 years of experience building Machine Learning solutions

Bachelor's or Master's in Data Science, Computer Science, Statistics, or a related field

Familiarity with Python for data modeling, cleaning, and visualization

Experience with SQL for querying databases and managing data workflows

Strong problem-solving skills and an ability to analyze complex data

Company Culture:

We're looking for individuals who are:

Game Changers: Open-minded problem solvers with innovative ideas

Data Fanatics: Love exploring data, finding patterns, and building actionable solutions

Partner Obsessed: Understand partner needs and deliver results exceeding expectations

Team of Doers: Value accountability and uplift teammates