Data Scientist

Are you passionate about constructing AI systems that unlock predictive insights at an unprecedented scale? Can you design and implement solutions using cutting-edge LLM and deep learning technologies? Don't hesitate—apply now!

In a nutshell

• Hop on a journey with an exciting fast-growing SaaS company in an international environment (steep learning curve is guaranteed). 

• Secure an impactful role with lots of growth potential for yourself. 

• Spearhead innovative initiatives on the intersection of AI/ML and NLP.

• Develop scalable and accurate AI models that deliver predictive insights beyond human capacity.

• Join a team of diverse and passionate people with a culture that empowers great work (15 ninjas & 10 nationalities). 

• Enjoy a lot of perks: Flexible working hours & unlimited holiday policy, attractive office in Amsterdam, visa sponsorship, mentorship program, own laptop & home equipment, team events & games... (and more!).

🧑‍💻 What are we doing?

At Kaizo, we're not just building a platform - we're creating a dynamic ecosystem that actively guides employees to achieve their goals and make a lasting impact on their organizations. Our focus is on revolutionizing the daily work experience for customer support teams through a performance development and compliance platform that combines cutting-edge AI technologies with gamification.

• AI-Powered Engagement: We're leveraging cutting-edge AI technologies to improve operational efficiency, enhance team performance, and provide unparalleled performance visibility. Our goal is to make the daily work experience more engaging, fun, and productive for customer support agents, quality assurance professionals, and team leaders.

• Stream Processing Excellence: Built on a microservices-based stream processing platform, we process over 200 million events per day using cutting-edge technologies such as Akka Streams and Kafka. Our services, deployed on Kubernetes in Google Cloud, seamlessly feed data into ElasticSearch, MongoDB, and Google BigQuery.

• Developing the Future: Our team is at the forefront of developing AI systems that are not only scalable, affordable, and interpretable but also flexible and empowering. We're pursuing real-time solutions that redefine the way compliance monitoring is done.

• Our journey is not without its challenges, and we embrace them as opportunities for innovation:

  • Scalability Quest: Processing approximately 10 tickets per second requires solutions with lightning-fast inference speeds. We're working on LLMs that match GPT's accuracy but operate at an unparalleled speed.

  • Cost Efficiency Mandate: Dealing with large ticket volumes requires economically feasible solutions that do not scale linearly in terms of cost with the expected volume. We're on a mission to optimize efficiency and resource utilization.

  • Accuracy Triumph: Our compliance engine aims for maximum accuracy while maintaining a conservative approach to predictions. 

  • Data Privacy Conundrum: The presence of sensitive PII in our customers' data adds a layer of complexity. We're addressing the challenge of fine-tuning models on raw data while upholding the highest standards of data privacy and security.

  • Data Diversity Voyage: Dealing with diverse data formats, from text and raw speech to metadata and tabular data, presents its own set of challenges. We navigate this diversity to ensure our solutions are adaptable and comprehensive.

🗓️ What are your 12 labours here?

As a Data Scientist, you will help us implement new features into our product by building and deploying production-grade models that leverage state-of-the-art technologies. Your primary focus will be on developing high quality prediction models that can be integrated with our services, performing statistical analysis, designing scalable AI systems using innovative architecture.

🤖 You will focus on

• NLP and NLG using state-of-the-art methods

• Improving and extending the features used by our existing systems

• Processing, cleaning, and aggregating data used for analysis

• Performing ad-hoc analysis and presenting results in a clear manner

• Creating automated systems and tracking their performance

• Building and optimising prediction systems using open source and proprietary LLMs

• Collaborating with other team-members within the company to drive product development

• Communicating results and ideas to key decision makers

• Experimenting with different tools and technologies, and evaluate new data science approaches for the business

🧑‍💻 What you bring to the table?

•  3+ years industry experience

• Experience in prototyping and deploying at least one data science project to a production environment

• Experience with common data science toolkits, such as Pandas, Numpy, Matplotlib, Scikit-learn and Jupyter Notebooks

• Experience with one of the following: Tensorflow, PyTorch, or any other deep learning/machine learning framework

• Experience with data visualisation tools, such as Dash, Seaborn, D3, etc

• Good applied statistics skills, such as distributions, statistical testing, regression, etc.

• Good scripting and programming skills using Python

• Familiarity with MLOps is a plus.

• Experience in using one or more of the following tools and technologies is a plus: Google Cloud Platform, Github, Docker, Kubernetes, MongoDB, ElasticSearch

• Data-oriented personality

• Excellent written and verbal communication skills for coordinating across teams.

• A drive to learn and master new technologies and techniques

• Being part of an early stage startup, we sometimes need you to wear multiple hats just to keep things going, hence being a team player is a must have.

🏆 What’s in it for you?

• An office right in the heart of Amsterdam, complemented by the flexibility of hybrid working

• Visa sponsorship available for eligible candidates

• Great office gear: MacBook, tools, desks, chair — there’s something for everyone

• The freedom of a flexible working schedule

• Fun workations & open holiday policy