Partly

Senior Data Scientist

Partly

Christchurch, Canterbury Region, New Zealand · Full Time

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Experience
Any
Salary
Openings
1
Posted
ਹਫਤਾ ਪਹਿਲਾਂ
Work mode
In office
Education
MSc Computer Science or Data Science or related field
Resume
Required to apply

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Job description

About Partly

Partly is a global company headquartered in Austin, Texas, with additional offices in London, Christchurch, and Auckland. The company focuses on developing AI infrastructure for the worldwide repair industry, beginning with the 2 trillion dollar automotive sector. Their flagship AI model, Interpreter, is engineered to comprehend vehicle damage and determine the necessary parts for repairs. Thousands of clients within the repair supply chain globally utilize their technology.

Founded by former Rocket Lab engineers, Partly has experienced rapid growth in the past 18 months, recently securing a $50 million Series B funding round led by DST Global and supported by various prominent venture investors. The company fosters a strong culture and values that support employees in performing their best work.

Role Overview

You will join the Data Science team working on research and development projects that have significant, tangible impacts on clients. This role provides opportunities to enhance engineering skills while contributing to innovative data solutions.

Key Responsibilities

  • Collaborate within R&D teams to deliver impactful projects for clients.
  • Perform data analysis, modeling, visualization, and pattern detection tasks.
  • Develop predictive systems and work on data processing pipelines using methods such as artificial neural networks, graph algorithms, regression techniques, decision trees, and feature extraction.
  • Leverage technologies including Python, scikit-learn, PyTorch, Pandas, Google Cloud, and PostgreSQL in daily work.

Candidate Profile

  • Possess a Master's degree in Computer Science, Data Science, or a related discipline.
  • Have at least six months of professional experience in data science.
  • Experience handling automotive-related data is essential.
  • Exhibit strong problem-solving abilities with enthusiasm for complex challenges.
  • Demonstrate initiative and self-driven work ethic.
  • Strong knowledge of data analysis, extraction, mapping, and machine learning concepts.
  • Active engagement with personal projects beyond academic commitments.
  • Excellent communication skills and a collaborative team orientation.
  • Ability to work independently and continue learning autonomously.

Note: Candidates who do not meet every listed qualification but believe in their potential are encouraged to apply.

Benefits and Perks

  • Daily provision of nutritious, catered lunches at offices in Auckland, Christchurch, London, and Austin, creating opportunities for team connection without meal preparation.
  • An annual wellness allowance of $1,500 (or local equivalent) to support health-related activities such as gym memberships, therapy, and medical expenses.
  • Generous parental leave of three months fully paid for primary caregivers, supplemented with a flexible return-to-work arrangement of four days per week at full pay for the initial three months.
  • Support for commuting with options for paid parking or allowance when traveling to company offices or coworking spaces.
  • Modern, inspiring workspaces designed for collaboration, including quality coffee, social areas, and access to nearby cafes.
  • Office-based work culture with flexibility, enabling rapid decision-making and strong team connections, balanced with personal schedule management and flexible hours.
  • Company-wide social events ranging from weekly happy hours to annual global offsites fostering team bonding.

Additional Information - Relocation Support

The company provides a generous relocation allowance to assist new employees moving to Partly’s headquarters or offices, whether relocating domestically or internationally.

Onboarding & Travel

New hires connect with their nearest office for onboarding. Partly organizes and finances travel and accommodation for quarterly team gatherings called "Season Openers." Assistance with relocation costs is also available.

Level

Senior

Minimum education

Master's Degree

Tools & software

PostgreSQL PyTorch PostgreSQL required PyTorch required

How they work

Communication Teamwork & Collaboration Problem Solving Initiative
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