Client: lululemon

Its a W2 role. Please revert us if you are comfortable working W2

Location: Seattle, WA - HYBRID - 2 days per week onsite

**CANDIDATES MUST HAVE A LINKEDIN** (hiring manager is requesting one)

Role DESCRIPTION

Outline of the Role:

Engineering here involves applying Computer Science principles to design, build, maintain,

scalable and sustainable technology Products and Solutions. These technology Products and

Solutions provide amazing guest experiences while meeting the needs of the business.

Principal Duties and Responsibilities:

• Develop and Deploy Predictive Models:
• -Build, tune, and maintain machine learning models in data bricks using python, r, or java.
• -Design and implement ML solutions tailored to specific use cases and data characteristics.
• Data Modelling and Analysis:
• -Review and revise data models fed from upstream sources such as PostgreSQL, MongoDB, and Kafka.
• -Identify and correct for data quality issues in data large datasets.
• -Analyse results to ensure findings are statically significant.
• ML Model Optimization and Maintenance:
• -Continuously improve model performance and accuracy.
• -Monitor and maintain deployed models to ensure effectiveness and relevance.

Qualifications, Skills, Experience and Personal Requirements:

• Bachelor’s or master’s degree in data science, Computer Science, Statistics, or a related field.
• Proven hands-on experience in creating, tuning, and maintaining machine learning models in enterprise environments. (Required)
• Proficiency in Python and R, with experience using Databricks for model development.
• Deep understanding of various machine learning modelling methods and their applications.
• Experience with data modelling techniques and tools.
• Experience with MongoDB, Snowflake, Postgres, AWS Cloud, and PowerBI.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.