What is PredictHQ?PredictHQ is a Demand Intelligence platform powering companies such as Uber, Booking.com, Virgin Hyperloop, Accenture, Amadeus and many more to instantly unlock profitability hiding in plain sight.
We are solving a major blind spot in demand forecasting : the impact of real-world events. This is our expertise - building systems that find, verify and enrich intelligence on the millions of significant events that impact demand, so companies can act before it's too late.
Our core product is an API of verified and ranked event data to provide machine-readable intelligence for better pricing, demand and planning decisions.
We originally targeted the $2.3 trillion travel and transportation industry, but are already signing up customers from a far wider range of industries.
Launched in 2016, PredictHQ is growing rapidly and backed by Sutter Hill Ventures, Lightspeed Venture Partners and Aspect Ventures.
PredictHQ’s team is now more than 60 people across San Francisco, USA, and Auckland, New Zealand.Our team combines the best of the American ambition and drive with New Zealand’s empathy and community spirit.
We have high standards and huge plans.RequirementsWe’re looking for a passionate, ambitious and committed Senior Data Scientist to join our New Zealand based Data Intelligence team.
If you : Are excited about using advanced analytical modelling to solve complex problemsWant to be part of a creative, enthusiastic and supportive teamHave a desire to work in a fast moving startup that spans the worldAre self motivated and have a willingness to learn and teachThen we want to talk to you.
Our people come first and enabling and supporting them to do their best work is a company priority. Our PredictHQ values are at the heart of our business and mean we are not only creating a world-first product but also a culture that is inclusive and unique.
A Senior Data Scientist at PredictHQ will get to : Conduct research and development on advanced machine learning algorithms, statistical modelling techniques, and predictive modelling to enhance and enrich our data intelligence productsBuild large-scale data science solutions from researching a prototype to productionProactively enhance and improve current intelligence features and modelsProactively enhance and improve data quality.
Automate some of the current manual data tasks to improve the efficiency, accuracy and consistencyWork with data and dev team to deliver data intelligenceMust-haves : 3+ years in a data scientist or machine learning scientist role with Statistics / Mathematics / Computer Science backgroundExperience in building large-scale ML solutions from researching a prototype to productionEssential skills include advanced machine learning, advanced statistical modelling, time series modelling, analytical programmingEssential technical skills in SQL, Python or RExperience of R&D in data scienceSoftware engineering skills and the ability to build models at scaleAble to take initiativeTactful and matureAptitude for researchNice-to-haves : Experience in Elasticsearch and AWS redshiftBenefitsCompetitive SalaryHealth InsurancePaid Birthday LeaveHealthy snacksFancy Coffee MachineSocial FridaysWork environment centred on collaboration, agility and funMonthly Events (after all, we can’t be the Event Experts if we don’t have a few of our own!)Our Values