Do you possess exceptional skills as a Data Scientist and a burning desire to use technology for global good? Join a forward-thinking team renowned worldwide for its expertise in on-demand production and custom product fulfilment across a diverse range of markets. Through their cutting-edge platform, e-commerce entrepreneurs are empowered to prosper while adopting sustainable local production methods, resulting in substantial reductions in waste and carbon emissions. Seize this chance to be at the forefront of reshaping our world for a brighter future!
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Conducting exploratory analyses to identify and comprehend high-impact business challenges.
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Developing and implementing advanced machine learning models to address complex business problems.
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Performing A/B tests and conducting causal inference analyses to drive data-driven decisions.
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Effectively communicating analytical insights and findings to stakeholders across the organisation.
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Collaborating closely with a multidisciplinary team of data scientists, engineers, and analysts.
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Contributing to long-term architectural resolutions and fostering a data-driven culture within the organisation.
Who You Are:
You are a driven and skilled Data Scientist who is passionate about making a tangible impact. Here’s what we’re looking for:
- A self-starter who thrives in an ambiguous and dynamic environment.
- A collaborative team player with strong interpersonal and communication skills.
- An analytical thinker with a bias for using data to drive decision-making.
- Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related field from a top-tier university.
- 4-8 years of relevant experience in data modelling, analytics, and machine learning.
- Proficiency in Python and SQL for data analysis and manipulation.
- Experience with data virtualisation and BI tools.
- Solid understanding of statistics, machine learning, and experimental design.
- Ability to convey insights through compelling data storytelling.
- High integrity, attention to detail, and commitment to excellence.
Preferred Qualifications:
- Master’s degree in data disciplines, engineering, computer science, mathematics, or a related field.
- Proven track record of implementing machine learning solutions that drive tangible business impact.
- Exceptional storytelling abilities to communicate complex ideas to various audiences.
Job Owner: p.horlock-brown