Would you like to partake in technical challenges, collaborate on an interesting product, be up to date with the latest technology, and contribute to taking our product to market? Then keep reading!

Yes, tell me more…

fullinfo is a startup B2B data services software company.

We are building an un-paralleled data collection pipeline which is being deployed on AWS and written in Go and Typescript. With a focus on innovation, quality, and accessibility, we are developing a one-stop lead generator platform.

The Customer facing part of the solution is a Typescript and GraphQL based web application. Deployed on AWS as well. Serverless paradigm is being applied: Most of our code is running as AWS’s Lambda’s.

We are currently hiring a Data Scientist/Engineer for fullinfo on an initial 12-month contract-basis. The ideal candidate will be comfortable with Python, AWS, Typescript, Go and have experience working with large volumes of structured and unstructured data from different sources, with focus on data preparation.

Responsibilities:

• Build and maintain robust ETL pipelines to extract, transform, and process data from DynamoDB and other sources.
• Design and optimize workflows for managing and processing complex JSON data structures.
• Enable efficient querying of DynamoDB data, leveraging advanced indexing and partitioning techniques.
• Automate data workflows using AWS services (e.g., Lambda) and orchestrate model deployment pipelines.
• Collaborate with the machine learning team to ensure the availability of clean, well-structured, and optimized data for model development.

Nice to have:

• Experiment with prompt engineering and in-context learning to optimize LLM performance for specific business use cases.
• Use LLMs for tasks such as data extraction, classification, and summarization from web-scraped datasets.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• A minimum of 3 years relevant experience.
• Strong knowledge of DynamoDB, JSON structures, and querying techniques.
• Proficiency in Python (e.g., boto3, Pandas) for data manipulation and machine learning workflows.
• Hands-on experience with data processing in cloud platforms, particularly AWS (e.g., Lambda, S3).
• Proven ability to build and deploy ETL pipelines.
• Proven experience with Large Language Models (e.g., GPT, BERT, LLaMA) and fine-tuning techniques.
• Business Proficiency in English is essential.

The successful candidate will…

• Organize and transform data into structured formats for machine learning and analysis.
• Enjoy creating order from chaos and tackling complex data challenges.
• Have a desire to work on different features within our solution, and take a generalist role.
• Possess the ability to familiarize yourself with our product quickly to generate new ideas, reflect on our existing features and think ahead.
• Take on a proactive, hands-on approach.

What can you expect from us?

• To shape the company from the ground up – join our team as a pioneer and help us carve our way forward.
• Together we’ll take our product to market – how cool would it be to celebrate together?A flat hierarchical structure with room for innovation in a highly motivated team.
• A start-up environment that is passionate about quality, problem solving and building beautiful software.
• Office in Rotterdam, located in the Rotterdam Science Tower.
• Office in Amsterdam, located in Apollolaan.

Our passion stems from our shared values and mission. With that said, our culture is built on two major aspects:

Quality: At fullinfo we have show-and-tell energy, and we let the quality of our product speak for itself. We love building beautiful software and get hyped by always raising the bar on quality. Our product is beautiful inside and outside. How do we achieve this? By always asking ourselves “Is this right?” or “Does this make sense?”.

Problem Solving: We foster innovation and novel approaches to problem solving, while keeping user needs at front of mind.