Data Scientist
2 weeks ago
Note: Partly is headquartered in Christchurch but has employees spread across NZ, AU and UK. If relocating to Christchurch, we would cover those costs. If working remote, we would pay for any visits to HQ (at least once per quarter)._
**Our story**
Partly's mission is to connect the world's parts and we're doing that by building the first global platform for replacement parts, starting with auto parts. Our big vision is to accelerate the world towards a sustainable future where waste is eliminated and all replacement parts are universally searchable, accessible and available to all
Founded by ex-Rocket Lab engineers, we use utilise cutting-edge technology to solve challenging but exciting problems that make a huge impact in a $1.9 trillion industry.
We provide a scalable digital infrastructure solution to some of the world's largest businesses as well as the most exciting startups. Partly's solutions are integrated across hundreds of businesses globally, providing the backbone for cataloging and managing parts online.
Blackbird Ventures (Canva, CultureAmp etc.) led both our Pre-Seed and Seed rounds, alongside I2BF (NYC), Hillfarrance, Icehouse, Peter Beck (Rocket Lab), Akshay Kothari (Notion Co-Founder) and Dylan Field (Figma Co-Founder).
We're continuing to build a world-class team and ensuring Partly is a place where people can do the best work of their lives. We're proud of the culture that we've built at Partly and our values are lived throughout every experience.
**This role**
You will be joining a team of incredibly ambitious and talented engineers and data scientists to tackle hard and exciting problems using cutting-edge research.
This is an opportunity to work in an extremely fast-paced environment and take on rewarding challenges and responsibilities. You will report to Tim Grunshaw, Director of Engineering.
**What will you do**
- ** Conduct exploratory data analysis** to uncover trends, patterns, and correlations in the data.
- ** Create and maintain scalable data pipelines** for efficient data collection, processing, and storage.
**Your skills**
- ** Experience in machine learning**
- ** Experience in data mining**
- ** Experience with structuring and processing unstructured data**
- ** Experience implementing your solution end-to-end**
- ** (Strong bonus)** Experience in the automotive parts industry
- ** (Strong bonus)** Experience with graph machine learning and algorithms
- ** (Bonus)** Experience with graph database
- ** (Bonus)** Experience with NLP
**Benefits**
- ** Competitive base salary plus equity.** Even though we’re a small startup, we offer competitive salaries and great equity.
- ** Parental leave and flexible return to work. **After returning to work, primary carers can work 4-day weeks for 100% of their pay for the first twelve weeks. For secondary carers, we offer 10 days of leave at full pay.
- ** Flexible working hours and location. **We have an office-first culture, but you can work remotely or from home whenever it suits you. There are no fixed hours so you can choose to work when you’re most effective.
- ** A brand new architecturally designed office in Christchurch CBD**. With free snacks, drinks on tap, two different coffee machines, social areas, and one of the best cafes in Christchurch 50m away.
- ** Monthly team lunches** outside the office to celebrate our wins and enjoy each other's company.
- ** Ergonomic workspace.** Sit-stand desks, ergonomic chairs, quiet spaces, and collaboration spaces to suit all kinds of working styles.
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