Machine Learning Engineer - Strategic Data Solutions

• Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions.
• Design a data science approach, applying tried-and-true techniques or developing custom algorithms as needed for the business problem.
• Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions.
• Ensure operational and business metric health by monitoring production decision points.
• Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes.
• Communicate results of analyses to business partners and executives.
• Education in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.
• Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection.
• Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark.
• Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java.
• Ability to comprehend and debug complex systems integrations spanning toolchains and teams.
• Ability to extract meaningful business insights from data and identify the stories behind the patterns.
• Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways.
• Creativity to engineer novel features and signals, and to push beyond current tools and approaches.
• Experience working with images, training and deploying CNN models in production environments, and using Computer Vision techniques.

None flagged.