Data Scientist (DS 1024)

At Skroutz, our mission is simple: we aim to amaze. From our humble beginnings back in 2005, we believe that happy customers equal happy merchants and it’s our job to understand and anticipate their needs and offer them an unparalleled, doubt-free experience. 

Our vision is clear: we aspire to become the Everyday App, the go-to destination where millions fulfill their online shopping needs. Whether you're looking for a new smartphone, restocking your pantry with essentials, seeking the perfect outfit for an upcoming event, or simply hunting for that collectible gaming console, Skroutz is your trusted partner for seamless shopping experiences.

And our ambitions extend far beyond Greece's borders. We're on a trajectory to become one of Europe's fastest-growing Marketplaces, with exciting expansions already underway in Cyprus and the Balkans. Our commitment to customer satisfaction remains paramount, guiding every decision we make.

To achieve our vision, we seek individuals who share our passion for e-commerce and technology. If you're driven by the desire to create extraordinary shopping moments for our users, as well as help sellers all around the world grow their businesses, then we want you on our team.

Join us at Skroutz and be part of a journey that's reshaping the way we shop online. Together, let's turn everyday moments into remarkable experiences.

Ready for the challenge?

#AimToAmaze

Our engineering values

• Know your Tech. Develop and master your craft, sharpen your tools. Be proud of your work.
• Release early & Iterate. Deliver prototypes and start gathering important feedback early on. Use that feedback to guide you. Don't be afraid to compromise, make sure to come back & tidy things up.
• Be a team player. Offer your help, listen and seek to understand. Step up & take initiatives.
• Don't over anything. Don't over-engineer, over-analyze, over-regulate, you get it.
• Enjoy your work. Celebrate success.

How you will contribute to Skroutz vision

As a Data Scientist, you will be at the forefront of applying advanced ML techniques to solve complex business problems. By joining our Core-ML engineering team, you would:

• Employ different data science techniques to solve core problems like providing accurate product recommendations to our users, improving personalized search results, and classifying millions of products into thousands of Skroutz taxonomy categories.
• Contribute to establishing a strong data culture within the team.
• Help identify business problems and opportunities and propose data science methods to address them.

• Work with engineering teams and business stakeholders to implement models and monitor outcomes.
• Build predictive models and machine-learning algorithms.
• Build prototypes, evaluate results, and assist the team in deploying models to production.
• Implement and test end-to-end ML pipelines.
• Evaluate and improve existing algorithms.

Requirements

• Master's or PhD in Computer Science, Data Science, Machine Learning, Statistics, or a related field
• 3+ years of post-academic machine learning or data science experience
• Good programming skills in Python, with experience in ML frameworks such as PyTorch, TensorFlow, or scikit-learn
• Solid understanding of machine learning algorithms, statistical modeling, and deep learning techniques
• Strong analytical and problem-solving skills
• Strong knowledge of SQL and databases
• Good data storytelling skills and the ability to articulate technical information to a non-technical audience
• Good communication skills and team spirit

We will appreciate if you have

• Experience with applied ML in an e-commerce context.
• Experience in one or more of the following areas: information retrieval, recommender systems, natural language processing, or computer vision
• Experience with cloud platforms (e.g., AWS, GCP, Azure)
• Knowledge of containerization (e.g., Docker)
• Contributions to open-source ML projects

Benefits

• A great opportunity to contribute to the evolution of Skroutz towards becoming one of Europe’s fastest growing Marketplaces
• Thrive in an environment that champions ambitious goals, empowers autonomy, fosters mentoring, and unlocks exciting opportunities for both personal and business growth
• Competitive full-time salary
• Ongoing training and development
• Access to books, online courses, and relevant resources
• Top of the Line tools and equipment
• Private Medical Plan
• Hybrid Working
• Free gym membership at Golden Gym in Athens, plus OAKA cross training & running courses, Padel and online yoga
• For all New Skroutz Fathers we offer 30 working days paternity leave (1,5 months in total)
• Monthly childcare allowance for all Skroutz Parents
• Free Skroutz Plus subscription

As part of our dedication to the diversity of our workforce, Skroutz is committed to Equal Employment Opportunity without regard to race, color, national origin, ethnicity, gender, disability, sexual orientation, or religion.

Disclaimer:

Skroutz collects and processes personal data in accordance with the EU General Data Protection Regulation (GDPR). We are bound to use the information provided within your job application for recruitment purposes only and not to share these with any unauthorized third parties. Please read our Recruitment Privacy Policy here.