Data Science Technical Lead
6 days ago
**Technical support and project delivery leadership**:
- ** Manage machine learning pipelines implementation, solutions and productionisation**:
- ** Permanent opportunity, hybrid working options**
**Te Whiwhinga mahi | The opportunity**
Here at Auckland Transport, we are passionate about making Auckland a truly liveable and sustainable city. We are committed to working to shape our city by delivering transport choices to get Aucklanders' where they want, when they want. Behind all the roads and public transport runs a busy Business Technology team dedicated to keeping things moving.
We have an opportunity for a Data Science Technical Lead to join our team Reporting to the Data Science Manager, you will provide technical support and project delivery leadership in support of Auckland Transport's Machine Learning operations and strategic programs, particularly relating to machine learning models development, deployment, and governance. You will also mentor and coach junior members of the team as well as wider analytics teams.
You will work in collaboration with the team to manage machine learning pipelines implementation, solutions and productionisation, working closely with data engineering, data platform teams and business stakeholders to deliver data science solutions.
This is a great opportunity to work with the new generation of high-performance real time parallel Data Warehousing and Big Data Solutions. You'll be part of our transformation to further enable AT to become an insight driven organisation.
**Ko koe tēnei | About you**
You'll provide deep technical expertise and understanding of predictive modelling, resolve escalations, provide architectural expertise and a deep understanding of the wider relationship between IT systems. You'll be comfortable in providing strategic advice and recommendations to the executive level stakeholders and developing and maintaining state-of-the-art statistical and machine learning models.
Critical to this role will be your ability to interpret data and modelling results in a business context and provide commercially focused recommendations that support business decisions. You'll also have a mix of the following skills and experience:
- Advanced working knowledge of analytical programming: SQL, SAS, R or Python
- Proficiency in programming languages, tools and technologies such as Python/PySpark/R/Java/Tensorflow/Vertica/Knime or similar.
- MLOps experience, building data pipelines from data ingestion, pre-processing, feature engineering, modeling, monitoring and maintenance, from a variety of data sources - structured and unstructured data - using SQL and Non-SQL and Big data
- Strong problem solving and analytical approach. Ability to think creatively with data, formulate and get tractions around new ideas, and bring a new perspective to business.
- Experience in coaching junior team members, being positive role model.
**Ko wai mātou | About us** & **Nōu te rourou - What's in it for you?**
At AT we embrace inclusion and fully support building a diverse workplace, to support this our Hybrid Working Initiative empowers our people to work flexibly in ways that work for them, our customers, and AT. All hybrid options are designed collaboratively with individual, and teams needs in mind, we aim to collaborate intentionally and create protected mind-space to be creative, we invite you to talk to us early in the process about how hybrid working might work for you. AT is also committed to creating a diverse, inclusive workplace where people belong, we feel safe, respected, valued and supported, regardless of our differences.
We're working to shape our city and provide transport choices for a growing, vibrant Auckland. Our people bring the best of local and international expertise and we take pride in a diverse team of forward thinking, passionate people providing innovative and realistic answers to the city's transport challenges. As catalysts for change, each and every one of our team has a pivotal role in moving Auckland forward. We have a plan, join us and help make it a reality **Check out the benefits of working at AT
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