Machine Learning Engineer - Strategic Data Solutions

What you'll do

• Partner with business teams to identify opportunities and translate needs into technical solutions.
• Design data science approaches and collaborate on production real-time and batch decisioning systems.
• Monitor production metrics, investigate adversarial trends, and communicate analytical results to business partners and executives.

What they ask for

• Education in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or at least 4+ years of relevant experience.
• Practical experience and theoretical understanding of classification, regression, clustering, and anomaly detection algorithms.
• Working knowledge of relational databases, including SQL, and 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.

Nice to have

• Ability to comprehend and debug complex systems integrations spanning toolchains and teams.
• Ability to extract business insights from data and present concise, business-focused takeaways.

Tools

SQL, Hadoop, Spark, Python, Scala, Java

AI focus

Use predictive modeling, statistical analysis, and machine learning to support security, fraud prevention, and operational efficiency.