Lead Data Scientist

at  WiQ

LEAD DATA SCIENTIST

• Permanent role as part of the wiq Team
• Sydney office locations with WFH flex - potential for Brisbane & Melbourne based candidates also
• Work as part of a collaborative team on complex data science projects in the retail space
  We strive to create better experiences together for a better tomorrow for our customers and team, bringing the best of Woolworths Group and Quantium together to make data driven decisions. By partnering with Quantium, a world-class data science and advanced analytics business we’re excited about the future as we unlock the power of data to reimagine retail.
  Through this partnership, we’ve created a new business called wiq who will harness the best of Woolworths Group and Quantium to reimagine retail by solving the most complex problems using data and analytics. As a team, we leverage Agile ways of working to help our team develop their skills while also making sure our team is focusing on solving the most complex problems for both our customers and team.

WHAT YOU’LL BRING

We are looking for an experienced Lead Data Scientist to use your in-depth knowledge of big data and cutting-edge data mining techniques as well as the use of predictive, classification and alternate analytic algorithms for modelling and segmentation, to deliver a range of exciting, data driven projects.

• 5+ years’ experience developing predictive models in commercial environments
• Proven technical proficiency in SQL and Python; exposure to Cloud technologies (Google Cloud preferred) would be highly beneficial
• Proficiency in some of the following statistical techniques: Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Neural Networks, Clustering, Principal Component Analysis, Factor analysis, etc
• Experienced with data analytics products and ideally big data challenges.
• You’ll be experienced working with cross-functional and agile teams to deliver results throughout the product life cycle.
• Experience in developing class-leading algorithms to drive commercial outcomes.
• Proven commercial experience in statistical and machine learning modelling, with experience manipulating and ‘making sense’ of big data from disparate systems.
• Experience in working in complex, multi-stakeholder environments.
• Experience in technical leadership and ability to mentor other members of the data science team
• Strong analytical skills with the ability to collect, organise, analyse and disseminate significant amounts of information with attention to detail and accuracy.
• Tertiary qualified in a relevant discipline (Statistics, Data Science, Mathematics, Computer Science).

WHAT YOU’LL EXPERIENCE

Our Team Members are at the heart of everything we do and we’re always looking for ways to support your career journey and reward great work:

• Team discounts across our range of Woolworths Group brands you know and love and a robust rewards program that celebrates and incentivises purpose-driven work.
• A global business with endless career possibilities around every corner and across every discipline – with valuable exposure to a vast and exciting business network.
• High impact role supporting our teams who enrich our communities.

• A range of programs to help you prioritise and manage your wellbeing, including 24/7 access to the Sonder app.A progressive and competitive leave policy that gives you more space for what matters to you.

Reporting to the Head of Data Science and working closely with the wiq team and senior stakeholders across the business, you will deliver data science projects based on the strategic roadmap on time and within scope. This is a strategic, lead level role and will require leadership and mentoring of team members, while still being technically hands on.

• Lead the design, implementation and testing of data science products
• Managing both internal and external stakeholders for resourcing the project to ensure the successful launch of new solutions.
• Document business requirements for the scoping design and implementation of all models.
• Planning long term strategy on customer data products in sync with rewards member experience.
• Testing and finding areas of improvement for the outputs of models and implementation of products through campaign execution through various channels.
• Being the single point of contact for all stakeholders to ensure the project resources are provided.
• Develop and maintain state of the art advanced statistical and machine learning models (GLM, Random Forests, GBM, xGBoost, DGN, etc) to drive project outcomes
• Providing thought leadership in both using data to solve business problems and in arriving at innovative statistical solutions.
• Engage with business partners and work on new business cases to expand the use of modelling for data driven decision making across the board.