Data Scientist
Zappi|Posted 18 days ago
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Skills and experience
Location and salary
Role description
We're seeking a skilled Machine Learning Engineer to join our innovative team. You'll bring a strong foundation in statistical analysis, data manipulation, and visualization using Python, coupled with hands-on experience in AWS services like SageMaker, S3, and CloudWatch for ML workflows. Your expertise in ML training pipelines, experiment tracking, and model deployment will be crucial as we push the boundaries of AI technology.
In this role, you'll work extensively with large language models and embeddings, leveraging your knowledge of the HuggingFace ecosystem and fine-tuning techniques. We offer the opportunity to work on cutting-edge projects involving multimodal data analysis and model optimization. You'll collaborate closely with solution architects, SRE teams, and developers, translating complex analyses into actionable insights.
We value your strong Python development skills and experience with data pipelines and orchestration tools. Join us to work in a dynamic environment where you'll lead analyses, work with GPU infrastructure, and contribute to the evolution of ML systems. If you're passionate about machine learning and ready to make an impact, we want you on our team!
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About Zappi
What we do
Zappi helps global brands make faster and better decisions to drive business growth, shape new product development, and enhance their advertising and branding efforts. We help them predict success and disrupt their industries
The time available to businesses for decision-making has decreased, while consumers’ choice of products and their exposure to ads is growing. In the absence of preemptive research, 85% of products fail in their first year. Zappi puts the consumer at the heart of all your business decisions and eliminates risk.
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Zappi automation makes data collection and modelling faster, more economical, and easier
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Zappi reporting suite yields deeper insights, compounding its learning through analytics features and centralised data
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Zappi technology learns the way your experts interpret data, allowing for scaled expertise globally
Our Values
Creative Disruption
We reward people who come up with creative solutions to challenging problems and offer safety for experiments; we don’t want the fear of failure to stifle great ideas. Creative Disruptors not only come up with great ideas themselves but make space for others to do so.
Incisive Listening
Listening is at the heart of what we do; we do not talk over each other, and recognize the loudest in the room isn’t always the most insightful. We listen carefully to each other and crucially to our customers, so we can know how to better provide them with value.
Courageous Honesty
Being Courageously Honest, tactfully, is at the heart of everything Zappi does. Being Courageously Honest means speaking truth to power, and realizing that feedback not fed back often causes more harm to someone than a brief moment of discomfort spent delivering it.
Inclusive Engagement
We believe strongly in the power of diverse backgrounds, experiences, and thinking to help us succeed and to make working at Zappi a richer experience. Maintaining an inclusive environment is non-negotiable.
Leadership Inside & Out
Zappi is not a place for egos. It’s a place for those who want to step up and lead, but are also happy to step aside when someone else is more suitable. Anyone at Zappi can be a leader, regardless of your experience.
Our Hiring Process
This is what you can expect when interviewing with us.
Our interview process has the following stages:
A bit more about the technical assessment:
During the process, you are likely to meet the following members of our team:
What will they be looking for?
How to make a good first impression:
How long does our interview process usually take, from first call to offer stage?
If you need any additional information on our interview process, please reach out to us directly. Alternatively, please take a look at our careers page to get to know us better
Perks at Zappi
Tech Stack
application and data















utilities




dev ops










business tool





