Machine Learning Engineer
5 months ago
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.
How to Succeed with Us:
Embrace Pattern's core values by diving deep into issues, proactively finding solutions, and managing your projects with creativity and accountability.
Why Work at Pattern?
Pattern offers:
Flexible working hours
Competitive pay and benefits
Collaborative and fast-paced work environment
Career growth opportunities
A supportive and inclusive culture
Pattern is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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