Data Scientist - Data Integrity

Location: Sydney CBD, New South Wales
Job Type: Contract
Posted: 1 day ago
Contact: Gian Guanzon
Discipline:
Reference: 248235

Be a part of a renowned Software Enterprise as a Data Scientist and work on the biggest products that make teams successful and have an impact on how the organization is successful.

  • Data Scientist opportunity for a Product Analytics Team
  • Multinational software company with an amazing culture
  • Competitive daily rate, remote working opportunity

About the Company

Leading multinational software company with over 150,000 customers and millions of users across their product range, whose goal and is to change the way people work together with customer experience at the forefront of everything they do. Central modern offices, with an amazing culture, consistent growth and investment in unleashing the potential of every member of the team.

About the Role

The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. You will be working in the Product Analytics team, driving smarter products, providing business insights, and assisting in product roadmap decisions.

Description/Responsibilities:

  • Will be working across 20+ apps instrumented in different ways.
  • They need to start codifying and having dashboards/views into how good the instrumentation is.
  • Work as part of a small team to create a dashboard around how good instrumentation is.
  • Will be interacting closely with Engineers and Product Managers

Skills/Experience:

  • Experience instrumenting web applications for analytical purposes
  • Experience with Website / Web Application Data Analysis and Instrumentation
  • 3 years + experience with managing data quality for high scale data processes
  • 3 years + of SQL experience
  • 2 years + of Python experience (experience in R a plus)
  • 3+ years' experience profiling data, identifying data attributes, locating errors, and generating reports
  • Experience working with Big Data Technologies like, HDFS, MapReduce, Hbase, Pig, Hive, Sqoop, Oozie, Spark, Cloudera Manager, Kafka, Splunk

Education:

  • BA/BS Mathematics, Statistics, Computer Science, Economics, Business or analytical field

Advance your skills in a fantastic work environment with a great culture. Work on the latest technologies, across multiple platforms.

If interested and you think you're the right person for this opportunity, please select APPLY or contact gian.guanzon@peoplebank.com.au quoting reference number 248235.