Data Scientist

Job No: GODSMEL1
Location: Melbourne

The opportunity

GO1 are looking for an experienced Data Scientist to join their Data Science Group, a strategically important function at GO1. The business relies on the function to make best use of our data to 

(1) help drive scale on the two sides, e.g., perform experiments for learner acquisition, reduce churn or more targeted content acquisition, and 

(2) improve liquidity in the marketplace for a defensible business, e.g., improve search and offer recommendations to increase transactions between the two sides.

In addition, Data Science plays a critical role in exploring opportunities for new business models, e.g., conversational interfaces for delivering learning.

The Data Science Group work collaboratively with members from Design and Engineering to deliver on the initiatives on the road map as well as other independent experiments that are designed to move critical engagement metrics for the business.

Within Data Science, we are hypothesis-driven by nature. It starts from uncovering opportunities for improvement and hypothesising about the solutions all the way to developing and testing them out in the leanest possible manner so that we can learn quickly.

In terms of our activities, they are broadly grouped into four: business understanding, data exploration and acquisition, prototyping and development, and deployment and evaluation.

 

The ideal candidate

To be successful in the role you will have the following skills or background:

  • Postgraduate degree(s) in Computer Science majoring in Information Retrieval, Language Technology and/or Machine Learning.
  • At least 3 years experience in contributing to or leading projects for solving business problems using data and AI.
  • Practical coding and analysis skills including data query language (e.g., various dialects of SQL), data visualisation and aggregation, descriptive, predictive and significance analysis, basic coding skills (e.g., Python, Perl, R) and data wrangling. 
  • Deep understanding of core Information Retrieval and Recommender Systems (e.g., content and indexing, query expansion and rewriting, term weighting schemes, ranking models, collaborative filters). 
  • Strong grasp of key Machine Learning concepts and experience in applying them (e.g., feature engineering, supervised, unsupervised, reinforcement learning). 
  • Good understanding of the common evaluation measures and approaches for search and recommendation. 
  • Knowledge of using Machine Learning to solve search problems is desirable (e.g., learning to rank). 
  • Strong command of experimental design concepts and practices.
  • Being proactive and resourceful in pursuing a cause or solving a problem.
  • Experience in communicating highly technical concepts/ideas and getting buy-ins from business stakeholders.


If you're passionate about improving the future of how we learn and have relevant skills and experience, please consider applying even if your background doesn't perfectly match our ideal credentials.

 

Your Responsibilities

Reporting into the Head of Data Science, the Data Scientist will work closely with UI/UX Designers and Product Managers/Owners to feed into the discovery and delivery processes for new features development and improvement.

Together with our AI Engineers, you will also work closely with Developers to ensure the successful delivery of AI solutions at the individual initiatives and experiments level.

This is a mid to senior-level role, designed for Data Science professionals who have been actively contributing to or leading projects or tasks from inception to delivery the opportunity to further sharpen their stakeholder management and leadership skills and to apply their experience to help make learning fun, accessible and effective for millions of people worldwide.

Key activities that the role is expected to perform are:

Business understanding

  • Translate any Data Science dependencies by initiatives into experiments, and communicate with key stakeholders about those dependencies.
  • Identify improvement areas with our products to feed into initiatives or minor experiments.
  • Decompose work into manageable chunks to deliver quickly, incrementally for learning.

Data acquisition and explore

  • Develop strong understanding of and assist stakeholders to maximise values from our data.
  • Identify data gaps for current and future needs and work with AI Architect/Engineer and Developers to fill the gap.
  • Explore and prepare data needed to conduct experiments.

Prototyping and evaluation

  • Review existing or devise new techniques or tools for potential solutions. 
  • Build models, prototypes or produce relevant artefacts required to demonstrate the solutions.
  • Conduct the necessary evaluations to establish whether the solutions work and have delivered on the success criteria or not.

 

Meet GO1

A graduate of Y-Combinator, the GO1 team are disrupting workplace learning and changing the way organisations across the world train their teams.

With the goal of being the most used source for professional learning by 2020, GO1 merges technology and learning to help millions of users learn and grow in their careers.

Our GO1 employees enjoy a relaxed office environment in the heart of Melbourne’s CBD.

 

Why you will love working with us

Vibrant & Dynamic – We love what we do, we work hard to do it but we’re flexible and we have fun in the process

Unique culture – Be part of a dynamic, supportive and free thinking team that applauds creativity and encourages individuals to share their ideas and opinions

Great workspace – Enjoy free coffee, snacks and regular celebrations on site. We even have office dogs!

We are passionate about Learning - Enjoy unlimited access to the GO1 Learning platform - thousands of training modules are waiting for you!

We’re in serious growth – GO1 is on a stable and rapid-growth curve and you’ll have the opportunity to grow with us

 

 

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