Data Science Analyst

We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next gen data evolution challenges.

Who We Are

We’re a team of lifelong learners. We’re equal parts left and right brained. And we’re generally likeable. We won’t bore you with more adjectives. See for yourself.

Working with us

We’re a global team with a philosophy of encouraging passionate people to be fun and creative. With offices in Melbourne, Oakland, and Berlin we benefit from bringing together the experiences and viewpoints of a wide range of talented people from around the world. We believe a diverse workplace is a healthy workplace.

Benefits

  • Flexible working hours and the opportunity to work from home
  • Continual training and learning, conference attendance, and in-house mentoring opportunities
  • Health and wellness programs like yoga, a running club, a fresh towel service and quiet spaces
  • A fully stocked kitchen, with enough food to make delicious lunch every day, including an industrial-strength coffee machine, free snacks and weekly catered lunches
  • An active social club, with events for you and your family
  • Paid parental leave

About the role

  • Bachelor /Masters degree from a top-tier institute, ideally in quantitative discipline (Engineering, Computer Science, Data Science, Economics, Mathematics or similar field).
  • One year of experience, ideally within a Statistician role.
  • Possess strong knowledge ofR, Python and SQL and experience in building and scaling models for time series.
  • Strong expertise in Math/ Statistics, Machine Learning and Predictive Modelling (Regression, Neural Networks etc) would be highly valuable.
  • Ability to seamlessly navigate various programs and tools utilized as part of the collection process.
  • Strong Knowledge of Regression/ Linear Analysis Familiarity with any of Deep Learning, Distributed RF, Generalized Linear Model, K- Mean and naive Bayes Familiarity with designing algorithms on Hadoop ecosystem.
  • Excellent planning and execution skills with proven ability to drive results.
  • Strong interpersonal and communication skills and are adept at working with multiple stakeholders to drive desired outcomes.
  • Possess strong analytical skills and are comfortable dealing with numerical data.
  • Pay strong attention to detail and deliver work that is of a high standard.
  • Creative problem solver and can multitask in fast-paced environments.

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