Job Description

Eleven-time Webby award-winning Freelancer.com is the world's largest freelancing and crowdsourcing marketplace. We connect millions of employers to freelancers across the globe, and every day thousands of jobs are described, bid on, negotiated, and managed through our site.

We think it is pretty cool that our dataset details a real life economy, where work is undertaken in every area you can think of. From design, writing, data entry and software development; through to sales, marketing, accounting and legal services - even NASA uses us!

Freelancer's data science team is world class. We have a team of data scientists across three offices, with backgrounds in mathematics, physics, neuroscience, computer science, and more. We have data science infrastructure that runs a sophisticated dashboard and multi-variate testing framework.

You have a strong maths and/or stats background. You know how to take your code to O(log(n)), and when not to bother. You love to reach deep into a SQL dataset and pull out an interesting story. You dream in probability densities, not expectation values. You can smell a badly-designed experiment from a mile away.

If this sounds like you, you will love life as a data scientist at Freelancer. We are a data-driven company- data trumps opinions. Every new feature gets A/B tested and analysed with our bayesian methods. We use machine learning in many places across the company, from improving funnels with sophisticated predictors to fraud and spam detection.

You will work in a product team and sit at the core of the decision making process. You will scour our well-organised dataset for trends and potential opportunities, and be responsible for designing and analysing A/B tests. And from time to time, you will invent new and awesome ways to use our dataset to make the site better.


Responsibilities

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyse large amounts of information to discover trends and patterns
  • Build predictive models and machine-learning algorithms
  • Combine models through ensemble modelling
  • Present information using data visualisation techniques
  • Propose solutions and strategies to business challenges
  • Collaborate with engineering and product development teams

Requirements

  • Tertiary Degree in Maths, Stats, Physics, Computer Science, or other quantitative discipline. 1st class Honors are preferred, and MS or PhD a plus.
  • Excellent python, pandas, R, SQL and scripting.
  • Ability to process complex datasets and transform them into business decisions.
  • Understanding of Internet-scale systems (scalability into tens of millions of users).
  • Extensive knowledge and experience in statistics, machine learning and big data analytics a plus.
  • Proven experience as a data scientist or analyst
  • Experience in data mining
  • Understanding of machine-learning and operations research
  • Analytical mind and business acumen
  • Strong math skills (e.g. statistics, algebra)
  • Problem-solving aptitude
  • Excellent communication and presentation skills

Benefits

This won't be a cog-in-the-machine job; you will be joining a global technology company that is a meritocracy, so if you are looking to make a difference and be rewarded for your efforts, this is the place for you.

We also offer a fun atmosphere working with smart people in an awesome office with fully-stocked kitchens, social events, hackathons, and more.

For more information see www.freelancer.com/careers

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