Responsibilities:

Working in a very dynamic and exciting environment with top engineering and product talent the data scientist will research and develop models and algorithms to enhance the capabilities and experience of the identity-aware software at Prifender.

Requirements:

• Experience in creating and implementing machine learning algorithms and advanced statistics such as: regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks.
• Able to understand the business problem, identify the key challenges and quickly prototype the solution
• Analyze extremely large structured and unstructured datasets in the terabyte and petabyte size range.
• Experience in visualizing data for stakeholders in a simple and concise manner.
• Programming fluency in Java and Node.js
• Comfortable working at the command line in a Linux/Unix environments
• Exposure to SQL, NoSQL and big data platforms such as Oracle, Teradata, Cassandra, Couchbase and Hadoop.
• Exposure to stream processing frameworks like Kafka and Spark
• Experience with data processing in the cloud (e.g. AWS, Azure, Google)
• Strong communication skills
• Excellent organization and prioritization skills
• Able to document the technical details of your work
• Collaborate and brainstorm with other team members
• Quickly assess pros and cons of implementing third-party products versus building and developing in-house solutions.
• Experience manipulating large data sets from multiple sources (SQL, Hadoop, Teradata, AWS)

Qualifications:

• Masters required in Mathematics, Statistics, Computer Science or machine learning related field
• Strong written and oral communication skills
• Ability to handle multiple competing priorities in a fast-paced environment.