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.