Data Science Chapter Member
4 days ago
Company Description
We are on the hunt for an intermediate level Data Scientist who is passionate about machine learning and solving business challenges. This role has the autonomy and scope to influence direction and solutions on how we can serve our customers better. so, if you thrive working with a degree of independence then keep reading
**Job Description**:
You will be joining a cohort of Data Science Chapter Members that are spread across the wider business, so there is the comradery, knowledge sharing, and learning/development opportunities that comes with joining our Data Science chapter.
**Qualifications**:
You'll have a love for data - you're the type of person who gets excited about huge and unique data sets without losing sight of the business context. We will rely on your excellent communication skills, as this role will see you work cross-functionally with a range of internal stakeholders at all levels. Your self-sufficient nature and drive to contribute means you work effectively, both independently and collaboratively to deliver your best work and commercial results for the business.
- 2+ years of industry experience in a Data Science capacity
- Experience with Machine Learning development and production level deployment
- Excellent communication and presentation skills. You enjoy explaining complex concepts succinctly in a way that resonates with non-technical audiences and you are comfortable presenting to large groups of people.
- Experience with technical and analytics tools - preferably R and Python, AzureML, Snowflake, Docker, Git etc. will be helpful.
- Well versed in some or all the following: statistical inference, classical statistical methods, machine learning, data modelling, simulation, optimization, and advanced mathematics to analyse large amounts of data.
Additional Information
We need people who are up for a challenge and committed to ‘helping Kiwis live better, every day.’
We offer a dynamic, supportive team environment within a business that cares about and recognises individuals. When you join us, you also get discounts across most of our brands, great team member benefits, and excellent career development opportunities no matter where you are in the business We have a flexible working policy that can see you balance your week with up to 2 days working from home (if you wish).
Interested and keen to take the next step in your Data Science career? Express your interest now and we look forward to talking
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