Description

You will build predictive models and algorithms to extract insights from complex datasets, including designing log templates and detecting anomalies.

This role is on-site.

Responsibilities

• Design algorithms to generate log templates from normal log messages.
• Develop predictive models to determine diagnosis, demographic, and lifestyle factors.
• Define and develop key criteria for detecting anomalies in data.
• Collaborate with cross-functional teams of engineers, project managers, and business staff.
• Present analytical strategies to CXO-level clients.

Required Skills

• 8+ years of hands-on experience using Python to manipulate large datasets.
• Proficiency in SQL, Scala, or related languages.
• Experience with statistical modeling, machine learning, and data mining.
• Expertise in predictive/classification models for structured data and cluster analysis.
• Experience with NLP, topic modeling, and text analytics.
• Experience using SAS for data manipulation and statistical techniques.
• Hands-on experience with ML frameworks such as TensorFlow and Spark.
• Strong understanding of programming, data structures, and software engineering.

Preferred Skills

• Experience with Scikit-Learn or Caffe.

Key Skills

Education

Any Graduate