Team Lead Data Science
Hoofddorp, Noord-Holland, NederlandIT
Amsterdam - Always wanted to be a corporate intrapreneur, conquering the world, this is your chance! You can be a Teamlead Data Science at a DPG Media advertising technology scale up for the international market! This role is challenging and offers many opportunities to contribute a new, innovative proposition. You end up at Aimwel, a B2B company that DPG Media founded in 2022. Work is currently underway to expand the Aimwel team as we grow in customers globally.
What you will be doing
We are seeking an experienced Senior Data Scientist who excels in developing and deploying artificial intelligence models into production environments. As senior and data science team lead, you will be hands-on and lead the design, development, and deployment of advanced AI models to solve complex business challenges.
Furthermore, your key responsibilities include:
AI Model Development: Lead the end-to-end development of AI models, from ideation to deployment, collaborating with cross-functional teams to understand business requirements.
Model Training and Optimization: Utilise machine learning techniques and algorithms to build robust models, ensuring accuracy, scalability, and efficiency.
Model Productionization: Drive the deployment of AI models into production, working closely with engineering and DevOps teams to ensure seamless integration and scalability.
Experimentation and Evaluation: Design experiments and validation strategies to assess model performance, iteratively improving models based on empirical results.
Data Exploration and Feature Engineering: Analyse complex data sets, engineer features, and extract insights to enhance model performance.
Cross-functional Collaboration and Communication: Work collaboratively with stakeholders to translate business requirements into technical solutions, and effectively communicate findings and recommendations.
Team Leadership: Act as a mentor and leader for the data science team (currently 2 other people), providing technical guidance, setting objectives, and fostering a collaborative and innovative environment.
Project Management: Oversee multiple projects simultaneously, aligning team efforts with business goals, and ensuring timely delivery of high-quality solutions.
Strategic Planning: Collaborate with stakeholders to understand business needs, identify opportunities, and develop data-driven strategies.
The ideal candidate
Required Skills and Qualifications:
Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Mathematics, or related field.
Expertise in Machine Learning: Extensive practical experience in developing and implementing machine learning models (specially supervised learning, Reinforcement learning), using tools such as neural networks packages (Pytorch, Tensorflow).
AI Model Deployment: Proven track record of deploying machine learning models into production, understanding the challenges and best practices involved. Using pipeline (such as Kedro and MLFlow) and production tools (ArgoCD, Kafka, Kubernetes).
Programming Skills: Proficiency in programming languages like Python or R for data manipulation, analysis, and model development.
Statistical Analysis: Strong statistical background and expertise in experimental design and hypothesis testing.
Data Wrangling and Visualization: Experience in data preprocessing, cleaning, and visualisation techniques using tools like Pandas, NumPy, Matplotlib, or similar libraries. Also related, knowledge in databases (sql databases like snowflake and mysql) and cloud services like AWS.
Problem-solving Skills: Open mindset, ability to identify complex problems, develop innovative solutions, and iterate on models for continuous improvement.
Communication Skills: Excellent communication and presentation skills to convey technical concepts to diverse audiences.
Project Management: Strong project management skills with the ability to prioritise tasks, manage deadlines & pressure, and coordinate team efforts effectively. Balance of people-oriented and task-oriented
This is what we offer you:
We offer a high-performing tech & data workplace where we treasure freedom, from how you find solutions to choosing your path. Feel free to be an entrepreneur, an apprentice, a team player, and, of course, to be you.
An experience-based salary.
12% personal choice budget (of which 8% is holiday allowance).
Participation in the profit sharing arrangement.
Personal development opportunities such as education, training and certificates.
Location in Amsterdam, combined with remote work.
Working with the latest stack & tools.
Knowledge sharing with other specialists within DPG Media Group
Aimwel, a unique DPG Media venture
Aimwel is a rapidly-growing international B2B SaaS (Software as a Service) venture company formed by DPG Media, a prominent media publisher. The company's innovative recruitment advertising technology automates & optimises high-quality lead generation across paid performance media channels. See also information on our Aimwel website.
Extra reasons to work for DPG Media
With its strong brands, DPG Media has a solid market position in all parts of the media industry. Every day almost 6.000 colleagues in 3 countries enjoy working on our portfolio that consists of various A-brands, including AutoWeek, Donald Duck, Flow, Libelle, Margriet, NU.nl, Tina, Viva, vtwonen and Veronica Magazine. So you become part of a larger whole: with all our brands we reach more than 90 percent of all Dutch people and 8 out 10 Flemish every month. How cool is that?
Interested in making a difference ?
Have you become enthusiastic about this opportunity? Send us your motivation and CV quickly via the application button on this page. You will always receive a quick response upon receipt of your application. If you are in the first selection, we will contact you by phone to schedule an appointment.
Do you have any questions first? Dennis Van Allemeersch (COO) is happy to answer your questions. Send an email to firstname.lastname@example.org .
We prefer to do our recruitment ourselves and do not need any help from external parties