Effective collaboration alongside developers and cross-functional teams. Ability to clearly communicate technical concepts to both technical and non-technical team members.
Advocate for software engineering good practices (e.g., version control, documentation, test-driven development).
Strong problem-solving skills to approach complex AI challenges and devise innovative solutions.
Strong verbal and written communication skills in English.
Ability to work independently and as part of a team

Advanced degree (Ph.D. or MSc) in Computer Science, Statistics, Applied Mathematics, or a related field.
Minimum of 5 years of experience in a data science role with a proven track record of successful projects.
Expert proficiency with data science tools and programming languages such as Python, SQL, and Scala.
Strong experience with machine learning frameworks and libraries such as TensorFlow, Keras, or PyTorch.
Demonstrated experience with big data technologies such as Hadoop, Spark, and Kafka.
Excellent analytical, problem-solving, and quantitative skills.
Ability to interpret and visualize data effectively, conveying insights to both technical and non-technical stakeholders.
Strong communication and leadership skills, with the ability to lead projects and teams.