What You'll Do

• Work with business stakeholders to identify and document high impact business problems and potential solutions
• Learn and use internally available analytic technologies
• Apply machine learning and/or statistical techniques to time series classification and telemetry anomaly detection problems
• Build models at scale using vast amounts of structured and unstructured heterogeneous types of data.
• Identify key performance indicators and establish strategies on how to deliver on these key points for analysis solutions
• Use educational background in data engineering and perform data mining analysis
• Engage in the delivery and presentation of solutions
• Participate in data storage architecture design discussions

Who You'll Work With

You will work with BI analysts/engineers to create prototypes, implementing traditional classifiers and determiners, predictive and regressive analysis points

What Makes You a Qualified Candidate

• Currently pursuing a bachelor’s degree or higher in Computer Science, Computer Science & Engineering, Statistics
• Strong data wrangling skills
• Ability to manipulate JSON/XML data
• Experience with other data manipulation platforms