Data Scientist

At Desquared, we're on a mission to build the world's most loved digital products, shaping lasting relationships with team members and clients, promoting business growth and personal happiness.

Our meticulously crafted proprietary products and our award-winning agency work have enabled us to partner with industry leaders such as Deutsche Telekom, Cosmote, National Bank of Greece, Alpha Bank, Kritikos, Heron, and Public. Through these partnerships, we positively affect millions of people every month.

Our culture and processes are the product of Lean UX Design and Agile Development principles. We are committed to delivering top-quality experiences through a deep understanding of business, extensive user research, and robust engineering practices.

We are currently looking for a skilled Data Scientist with a strong focus on developing AI-driven product features and tools. If you have a passion for building innovative solutions and excel at tackling complex data challenges, consider joining our team.

Responsibilities

• Interpret business requirements as actionable Machine Learning tasks.
• Conduct Exploratory Data Analysis (EDA) and perform feature engineering.
• Execute comparative modeling experiments to optimize model training.
• Implement best practices in model selection and parameter tuning.
• Deploy and integrate models into production environments.

Requirements

• 2+ years of working experience in Data Science and Machine Learning.
• Proficiency in programming languages such as Python or R.
• Strong understanding of statistical analysis, regression models, and machine learning algorithms.
• A drive to learn and master new technologies and techniques.
• Strong communication and collaboration skills.
• Excellent problem-solving and learning ability.
• Familiarity with Git.
• Proven literacy in English.
• Military obligations must be fulfilled (if applicable).

Optional skills that will make you stand out:

• Familiarity with Generative AI models.
• Knowledge of advanced machine learning techniques like deep learning or reinforcement learning.
• Familiarity with non-relational database systems, such as MongoDB.
• Experience in relational databases and SQL.
• Practical knowledge of BigQuery for handling large datasets.
• Experience in deploying models into production environments.
• Familiarity with cloud-hosting platforms, such as Heroku or AWS.

Benefits

• Collaborate with a supportive, talented team of experts.
• Work in a dynamic and creative environment where you can make a difference.
• Make an impact on the everyday lives of millions of people.
• Enjoy a highly competitive salary and benefits package.
• Collaborate with some of the largest and most prestigious institutions.
• Benefit from a flexible hybrid working model.
• Work with top-of-the-line tools and equipment.
• Access our extensive library and ongoing training resources.