Data Scientist  

Freelancer.com is a data-driven company: Data trumps opinions, every time. Every new feature gets A/B tested and analysed with our Bayesian methods. We are looking for Data Scientists to join the team and work with our data set that details a real life economy.

Freelancer.com is a company run purely by Data Scientists and Software Engineers. To join us 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.

You will work on a product team and be part of the decisions relating to your product. You'll be expected to scour the data for trends and potential opportunities, and design and analyse A/B tests. You'll also surprise us and invent new and awesome ways to use our dataset to make the site better.

We already have a dozen data scientists across three offices; you'll be collaborating with a team of PhDs and grads with backgrounds in Mathematics, Physics, Neuroscience, NLP, Computer Science, and Petroleum Engineering. But we're a growing company and need more brains.

Our dataset is well-organised in Redshift, and is maintained by a team of data engineers - so there's less munging required than in many DS roles.

You will also be doing the following:

• Be the authority on data-related insights for your product team.
• Design, manage, and analyse A/B tests for your product team.
• Explore our abundance of data to extrapolate meaning and influence decisions and strategy.
• Drive projects that will directly increase conversion rates and overall Freelancer growth and revenue.

• 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 skills.
• 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.