Machine Learning Engineer

As a Machine Learning Engineer within the Enterprise Data Management group at Syndigo, you’ll play a critical role by leveraging Syndigo’s proprietary technology to enable deeper, more engaged relationships between manufacturers, retailers, suppliers, brands, and consumers through our unified Content eXperience Hub (CXH) platform.

The key responsibility of this role involves implementing and evolving Machine Learning models used for descriptive, diagnostic, prescriptive, and predictive analytics. Also, identify and communicate data-related issues that would improve overall health. This includes requirement analysis and data analysis for feeds, exception management and profiling, root cause and remediation activities, process change management, and management reporting analysis. The ideal candidate has an inherent love of analyzing data statistically, continuous improvement, and implementing automated processes and controls.

HOW WE’LL BE WINNING TOGETHER DAY-TO-DAY

• Using tools like Python, PowerBI, etc you will create meaningful data visualizations to communicate findings
• Performs exploratory data analysis and statistical modeling with high-quality data handling techniques
• Creates scalable machine learning models that are applicable to real-time problems overcoming data barriers such as outlier detection and data quality issues
• Partners with Product, Development, and Operation teams to develop statistical, machine learning optimization models that are effective and efficient
• Develops a scorecard to measure and monitor, analyze quality data, and present data trends
• You are the knowledge expert for a given content domain, providing guidance and applying ways to incorporate process improvement - aiming for quality refinements in statistics and data handling

WE SHOULD TALK IF THIS SOUNDS LIKE YOU

• Bachelor's Degree in a quantitative field (preferred)
• You bring your past work experience and expertise in Data Modeling, Machine Learning & Analytics
• Expertise in working with SQL & NoSQL data
• Advanced proficiency with Python, Scala, Spark, and or R/M
• Experience with Azure (preferred) or AWS or GCP (Google Cloud Platform)