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Senior Generative AI Data Scientist @ Spyrosoft in Spyrosoft

Posted more than 30 days ago

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Spyrosoft

Spyrosoft

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Without experience
Full-time work
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

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 modelling
  • 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 contact 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. 

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 modelling
  • 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 contact with clients: providing them with the required expertise, as well as identifying their issues and business needs.
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Requirements: AI, Data science, Agile, Machine learning, Azure, Data visualization, AWS, GCP, ML, Communication skills, MLOps, Python, DNN, R, Power BI, Tableau
Tools: .
Additionally: Modern technologies, Sport subscription, Training budget, Private healthcare, Flat structure, International projects, Free coffee, Bike parking, Playroom, Shower, In-house trainings, Modern office, Startup atmosphere, No dress code.
Without experience
Full-time work
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