Position overview:

We are seeking an experienced and innovative data engineer to be the first hire on our data team. This is an exciting opportunity to build our data capabilities from the ground up. As the first Data engineer, you will be responsible for shaping the data strategy, designing the data architecture, and driving data-driven decision-making for the company. You will work closely with the business founders, Product and Operations function, leveraging your expertise in data analysis, machine learning, and statistics to unlock the potential of our data.

Company overview:

At Go Places, we're not just simplifying the world of Social Commerce – we're revolutionising it, reshaping how brands thrive in the era of socially enabled transactions. We've curated a portfolio of exceptional brands, unlocking their potential for Social Commerce revenue growth. We provide an end-to-end solution that sees us manage everything from logistics and forecasting to affiliate management and Live Shopping. With a blend of unparalleled experience, expertise, and state-of-the-art technology, we're changing the way brands think about the highest growth channel in E-commerce.

Unique responsibility:

• Design, build and maintain the unique data model (deep learning model) for analysing and predicting shopping behaviour on social medias (like TikTok)
• Iteratively and long term improve accuracy of this model in order to have the best predictive model for social commerce in the world

Key Responsibilities:

• Support the ongoing development of our data governance, BI tools and technologies
• Analyse large datasets to extract actionable insights, trends, and patterns
• Design, implement, and optimise machine learning models to solve business problems
• Develop and maintain data pipelines, ensuring data integrity and quality
• Collaborate with stakeholders to understand business objectives and translate them into data science projects
• Collaborate with developers to define what data we need to gather and how
• Perform statistical analyses and hypothesis testing to validate findings
• Create data visualisations, dashboards, and reports to communicate findings effectively
• Stay current with industry trends, tools, and techniques in data science and machine learning

Requirements:

• Bachelor’s degree in Computer Science, Mathematics, Statistics or other relevant field
• Strong skills in statistical analysis and machine learning
• Proficiency in Python, R, SQL, and data manipulation tools
• Experience with data visualisation tools such as Quicksight, Tableau, Apache Superset or Power BI
• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques
• Comfortable working in a fast paced, ambiguous and high growth environment
• Willingness to explore, test and use the latest AI improvements and models. Introduce them then in the company in order to increase the performance

What We Offer:

• Competitive salary and benefits package.
• 25 days holiday + your birthday off
• Opportunity to work with cutting-edge technology and be the Founding member of the Data Science team.
• A creative and collaborative work environment.
• Significant impact on the company’s data and technology direction
• The chance to work at an early-stage, fast growing start-up backed by some of Europe’s leading Venture Capital funds
• The chance to grow with the company and to build and manage a larger data team in the future
• Flexible working arrangements (3 days a week in our London office)