Welcome to SkillLab
At SkillLab, we envision a world where everyone has a pathway to employment. We enable and lead a radical change - a focus on skill-based approach to employment services. Our AI-driven technology creates more inclusive and efficient labor markets by empowering people to turn their skills into careers. SkillLab is working with employment and career services in 25+ countries and seeks to transform labor and education markets globally.
Your opportunity
You will be part of an expert team in dealing with large scale data and knowledge sources (taxonomies) around occupations, skills, qualifications, educations. This data will be relevant for high quality employment services for people such as job seekers, workers, employers and/or training providers.
You’ll be mostly working in client implementation projects. Turning data into usable insights that connect with our clients level of understanding and needs is crucial for the role.
Your team
You will join our Data Science team as our new Data Scientist. The lead data scientist is Aaron who has many years of experience in multiple industries in data science and AI. You will work closely with Rihab, a Data Scientist who specialises in taxonomies. Her responsibilities include developing and maintaining our taxonomies' data structures, working with clients to help build their own, as well as training and evaluating NLP models. Anna is a data scientist specialising in recommendation systems.
We are proud of the people we collaborate with and excited to work at a company with a strong social mission. We hope you will be too!
Your impact
- You will maintain our user data, taxonomies or other datasets and actively search for more relevant datasets.
- You will communicate with the company and/or clients on AI topics in an accessible manner.
- You will obtain and manipulate required data for modelling, analysis and/or reporting purposes.
- You will support our business consultants with analysis and reports, workshops and client trainings as well as our product managers with turning data into products and/or solutions.
- You will write code to parse, process and output data.
- You are able to leverage AI and machine learning technologies and have an understanding of them.
Requirements
Your skills
- You have 2-4 years of experience as a data scientist and/ or a similar role like data analyst.
- You are an Arabic speaker.
- You are proficient in using AI techniques and supporting technologies.
- You are comfortable using Python and SQL.
- You have worked in client facing projects, turning data into insights that connect with clients' level of understanding.
- You have knowledge of data cleaning techniques as well as visualisation techniques and libraries.
Extra awesome
- You have experience working with occupation / skill / education taxonomies.
Salary & start-date
- We use a salary benchmark for the Dutch high-tech sector to set your salary based on your experience. We expect that the annual gross salary for the experience we are looking for ranges from 50k-55k Euro per year.
- We accept applications on a rolling basis, and we envision a start date as soon as possible.
Benefits
- You will enjoy 25 paid vacation days per year (20 days as the statutory minimum holiday entitlement in the Netherlands plus 5 extra days from SkillLab).
- You can work flexibly from our office in Amsterdam and home within the Netherlands. You can also extend your holiday stay in a different country and work from abroad for a limited period of time.
- You will get an extensive relocation support to move to Amsterdam including visa sponsorship, 30% ruling application, your plane tickets, covered real estate agent fees, first 2-weeks of hotel accommodation etc.
- You will have a personal learning budget to invest in your professional development.
- You will have access to mentors & coaches (SkillLab is part of the Google for Startups SDG accelerator).
- You will have access to a monthly flexible budget of benefits via Yourcampus app. You can spend this budget on a large selection of providers, ranging from gym memberships to bike subscriptions and online stores.
- You will join our bi-annual company offsite retreats in different locations like Belgium, the Netherlands etc.
What else to know?
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Last updated on Jul 19, 2024