Splashup is looking to hire a Data Science Engineer to help build out our core technology and product.
You will work closely with the team in:
Designing and developing high-performance, data-driven systems in a distributed infrastructure
Building systems with lean experimentation methods and applications leveraging existing tools to address business problems
Working with large, interesting data sets including historical, real-time and third party data streams
Making machine learning models and data pipelines available via low-latency and high performance APIs
Implementing and optimising ML solutions in collaboration with the team
Splashup is a new and exciting Sydney-based retail tech new venture founded in 2021 and supported by a leading Australian financial institution.
We’re on a mission to become the global personalised product discovery engine for ecommerce that drives behaviour and powers a better customer experience. We are re-imagining online shopping to provide everyone with an effort free, personal and engaging experience transacting online.
The online retail space has historically been focused on the top of the funnel with little focus on the user experience to complete the entire journey to checkout. So we are taking the hassle out of shopping by getting retailers to help them customers find the right product at the right time creating a seamless buying experience.
Helping design, build, maintain and operate the data pipeline
Ensuring that solid development practices, such as proper use of source control, full testing processes and automated deployment mechanisms, are followed
Own the full Data Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value
Use data to improve the decision-making, and ultimately, to enhance the experience of retailers and their shoppers
Integrate your algorithmic solutions into customer technical platforms to run at scale and directly change the customer experience on site.
Develop systems and products that implement business logic, modern design patterns and architectural principles
Build and/or configure end-to-end applications through close collaboration with product team members
Work with the team to build novel solutions to business problems
Partner with stakeholders to understand and solve large scale customer-facing business problems
Partner with engineering to scale and deploy Machine Learning models
While we typically look for candidates with advanced University degree in Maths, Statistics, Computer Science, Engineering or other quantitative disciplines, we're happy for you to prove us wrong and show that these degrees aren't necessary
4+ years of industry experience developing machine learning models from inception to business impact.
Proven ability to tailor your solutions to business problems in a cross functional team
Understanding of cost-benefit trade-offs of data modelling and ML algorithms.
Experience training and deploying and maintaining Machine Learning models
You are proficient in Python and a statically typed language, with ability to code and iterate independently on top of data infrastructure tools
You are experienced in SQL and shell scripting
Experience working in a cloud-native environment (GCP, Azure, AWS, etc)
Deep understanding of modern machine learning techniques and their mathematical models, such as classification, clustering, optimisation, deep neural network and natural language processing
You are a problem solver, detail-oriented and self-motivated. You let data inform your thinking rather than relying on gut feeling. You thrive working with ambiguity and believe in lean experimentation. You are an effective communicator, a team player and avid learner.
Strong product intuition and excitement to work fast and iteratively
Bias towards action: you appreciate the many needs of a Pre-Seed-stage startup, and match or exceed the dedication of those around you
Thrive in a diverse, dynamic environment that leverages multiple tools and languages
Ability and desire to quickly pick up on new topics and techniques
Ability to take an idea from conception and prototyping to deployment in production
Ability to execute quickly in a startup environment
Nice to have: Technical leadership experience.
Route53, CloudFront, S3, Lambda, ECS, VPC, API Gateway
Microservices in TypeScript/NestJS/NodeJS
Source Code Management: GitHub
We offer a competitive salary and equity to make sure you are rewarded for your best work
Flexible hours and work arrangements either fully remote or a hybrid remote and in-office, suiting your school and home commitments.
Become one of the key team members of an exciting startup changing the retail industry
Open, fun and collaborative work culture
Training and development to the areas of growth you’d like to uncover