Senior Generative AI Data Scientist

Project description

Spyrosoft is reaching yet another level in its impressive growth towards boosting its tech capabilities. Therefore, we wish to invite a Data Science Expert, who will strengthen the Unit and enhance Spyro in the following areas:

• Collaborate in agile teams to design, implement and deploy end-to-end data science solutions with a strong focus on developing innovative product solutions
• Investigate, analyze and interpret large data sets using the latest technologies and methods
• Developing algorithms for data preparation, exploration, mining, and modeling
• Design, implementation, and evaluation of machine learning algorithms
• Design, develop and implement graphs, metrics, dashboards, apps, and reports to visualize data and support business decision making.
• Autonomous implementation, documentation, and further development of products and services
• Documentation of results and know-how transfer to internal business units and/or clients.
• Serving as a subject matter expert in contacts with clients: providing them with the required expertise, as well as identifying their issues and business needs.

Requirements

• MSc related to the areas of Artificial Intelligence, Data Science, Computer Science, Engineering, Mathematics, Physics or Statistics
• 4+ years of professional experience with data science projects,
• Experience in designing and implementing GenAI solutions (Azure OpenAI Services, Google Vertex Generative AI, Amazon Bedrock, Amazon Titan),
• Profound understanding of diverse machine learning techniques (Regression, Decision Trees, Ensemble Methods, DNN, SVM, Reinforcement Learning, clustering methods, etc.) and their real-world strengths and drawbacks,
• Working knowledge of data science tools, such as Python (preferably) or R, etc.,
• Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources,
• Experience with data visualization tools, such as Power BI (preferably) or Tableau, etc.,
• Experience with Azure, AWS, or GCP ML environments (certificate would be a strong plus),
• Great communication skills and orientation towards business,
• Experience with MLOps and deploying ML models in production,
• Proficiency in spoken and written English.