Informacje o stanowisku
This role involves engaging closely with the business to develop end-to-end machine learning solutions that drive our strategic goals. You will take a leading position on creating proof of concept models, deploying these solutions into production environments using AWS technologies, and ensuring their effectiveness through continuous monitoring and improvement.
This position offers a unique opportunity to work on a variety of machine learning applications, like regression, classification, recommendation systems etc.
Whats in it for you?
There are many reasons to come on board our team of talented professionals, but here are just a few…
- We are collaborative, fair, consciously inclusive, and flexible
- We trust, value, and support our people to make the difference
- We believe that diversity of thought and experience provides the platform for innovation and creativity
- We invest in the development of our people to drive our ambitions forward
- We offer a range of benefits (including your choice of tech) and a competitive package
- We offer a great work environment in an internationally successful enterprise in the online services industry
About you
- Have a passion for machine learning
- Bring demonstrable experience as a Data Scientist with a deep understanding of machine learning algorithms and statistical profitability concepts
- Enjoy a fast-paced environment
- Bring the experience of working with massive amounts of data (out-of-core, cloud, etc)
- Be curious, research, and ask questions
- Be result and target driven
- Demonstrate excellent communication skills, both oral and in writing
- Have exceptional organisational skills and attention to detail
- Be a creative thinker, always thinking “how can we”
- Show a strong desire to succeed and make a difference
Experience and skills that will help you succeed
- Strong command of Python for data manipulation, model development, and machine learning, along with proficiency in SQL for database querying and management
- Experience in developing BI solutions and providing actionable insights using tools like AWS QuickSight and PowerBI
- Familiarity in using AWS cloud services for deploying and managing ML models
- Knowledge of NLP concepts and neural networks
- Experience in domain/internet industry
- Appreciation of the GDPR regulations
- Willingness to present at conferences, contribute to a technical blog
This role involves engaging closely with the business to develop end-to-end machine learning solutions that drive our strategic goals. You will take a leading position on creating proof of concept models, deploying these solutions into production environments using AWS technologies, and ensuring their effectiveness through continuous monitoring and improvement.
This position offers a unique opportunity to work on a variety of machine learning applications, like regression, classification, recommendation systems etc.
Whats in it for you?
There are many reasons to come on board our team of talented professionals, but here are just a few…
- We are collaborative, fair, consciously inclusive, and flexible
- We trust, value, and support our people to make the difference
- We believe that diversity of thought and experience provides the platform for innovation and creativity
- We invest in the development of our people to drive our ambitions forward
- We offer a range of benefits (including your choice of tech) and a competitive package
- We offer a great work environment in an internationally successful enterprise in the online services industry
,[Machine Learning Modeling and Engineering (50%): You are developing end-to-end Machine Learning solutions including conceptual design, training, implementation, deployment and post-launch monitoring while working in close collaboration with data engineers to follow engineering best practices., Project Ownership (15%): You take full ownership of analytics projects and proactively identify, troubleshoot and resolve issues during implementation and post-launch phases ensuring continuous system performance., Stakeholder management (5%): You are collaborating with key business stakeholders to understand challenges, gather requirements and identify opportunities for data driven solutions., Business Intelligence Reporting (20%): You are supporting data driven decision making by translating information needs into insightful reports and dashboards using business intelligence tools., Continuous Learning and Innovation (10%): You stay up-to-date with the latest advancements in data science and machine learning to test and transfer innovations to the online presence and online marketing industry. Requirements: Python, SQL, AWS, QuickSight, Power BI, NLP, GDPR Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects, Free coffee, Bike parking, Free beverages, Modern office, No dress code, Startup atmosphere, Playroom, Free parking.
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