About
You'll work with this employers business verticals to help identify and implement data powered solutions for their customers, develop shared models and a deeper understanding of their data set.
This comprises three broad areas of work:
Product development - helping product managers decipher what products to build
Data science delivery - prototyping, building, designing and maintaining software solutions/services that use data science. There is a strong emphasis on experimentation right across the delivery lifecycle
Data capture - help to decide what they need to capture, highlighting gaps, and building insights
You'll have the best time working at here, and this is why:
#Flexible
Flexibility means different things to different people and they support you to find what works, including a home office set up and utilities allowance.
#Wellness
Being your best self means caring for your physical and mental wellbeing, they offer lots of resources to help you along the way.
#Leave
They support you with leave when you need it, including 5 days of wellness leave each year and 10 days of sick leave from day 1.
#Socia
Nothing beats getting together to have some fun and celebrating success. Join this employer in the office on payday for company paid lunches. Friday drinks and nibbles every fortnight, annual company awards, celebrations and more.
Here's what you can expect from this role:
* Provide strategic advice to the Head of Data Science and other stakeholders on how data science can best enhance customer value.
* You'll work with a small team of Data Scientists and MLOps Engineers to deliver end-to-end machine learning products that make their customers' lives better. This will involve data collection, analysis, model experimentation, and deployment.
* You'll demonstrate leadership in your field within your squad and the wider Trade Me, and will support and coach others within the Data Science team
* You'll work with senior leaders, squads and product teams to ensure that data informs the way they create and enhance their product offerings.
What you will bring to the team:
* Proven Experience (5+ years) in data science or equivalent/relevant fields
* A degree in applied maths, economics, statistics, engineering, physics, computer science or any other quantitative field, or equivalent experience.
* A compulsive curiosity and a desire to understand how this company can utilize data to improve their core value proposition.
* Experience as a leader of or mentor within, a team and the ability to communicate effectively with stakeholders at all levels, both internally and externally.
* Understanding of machine learning techniques and algorithms.
* Experience with languages and common libraries used for data science and machine learning (e.g. Python, R) and data visualization tools (e.g. Power BI)
* Experience applying and deploying machine learning techniques and algorithms in production environments.
* Proficiency in using query languages such as SQL.
* Experience applying statistical methods, such as distributions, hypothesis testing, regression etc.
They know some candidates can be reluctant to apply for roles if they feel they don't 'tick all the boxes'. If you're excited about this opportunity, make sure to contact your job search specialist!
This employer is an INZ accredited employer. They truly value diversity and embrace a flexible workplace where people are encouraged to achieve their potential.
LANZ has 70+ vacancies
Didn't see the perfect job for you listed?
Get in contact to find out about more opportunities.
