Senior Digital Advisor - Data Scientist Lead

Predica is an IT consulting company that helps companies around the world to boost IT systems for better, safety, and productivity by implementing award-winning Microsoft technologies.

Currently, we are looking for a Digital Advisor​, who could join our company and would help build a motivated and determined team. We are passionate about IT and if you seem to have similar values as we do, do not hesitate to send your CV! :)

Job responsibilities:

Pre- sales:   

  • Creation of  solution concept/blueprints for data science project based on Microsoft Data Stack 
  • Creates Scope of Work,    
  • Creates Work Break-down Structure,    
  • Prepares proposals for clients, 
  • Business development in data science area,
  • Generate smaller deals based on current relations/projects: next versions, CR. 

Technical:  

  • Can scope out a complex project based on business requirements and achievable benefits,  
  • Leads meetings with the customer technical teams,   
  •  Can lead technology decisions and facilitate and articulate alternatives,   
  • Breaks down business requirements into the technical specification,   
  • Prepares project documentation (Architecture and Design, Vision and Scope documents),   
  • Can lead medium (3-6 ppl.) delivery team and is responsible for delivery within agreed hours budget,   
  • Supervises technical quality and set priorities for others,   
  • Estimates the effort required to deliver a project based on a statement of work,   
  • Executes technical proof of concepts,   
  • Prepares technical input for offers,   
  • Technical Leader in project who can do some complex tasks in the project. 

Project Management:   

  • Books and manages project resources,   
  • Plays a key role in the Envision and Planning of the project. In many cases, he creates FDD, TDD, HLD, Project Plan,   
  • Technical lead in all phases of the project,    
  • Orchestrates and ensures the project goes smoothly by connecting all stakeholders (developers, admins, customer business, customer IT),   
  • Facilitates meetings with a customer,   
  • Single project point of contact for Customer and Predica,    
  • Ensure project is delivered within:   
    • Hour budget    
    • Quality (Customer Satisfaction)   
    • Time   
  • Performs solution hand-over and signs proof of execution.    

Requirements:

  • 4+ years' experience in Data Science developer, architect or pre-sales role,  
  • 2+ years' experience in leading and scoping projects,  
  • 2+ years' experience in working with Customers,  
  • Proficiency in Microsoft Data Platform including cloud (Azure Machine Learning, Azure Databricks), 
  • Experience in working with MS SQL, R, R Shiny or Python, 
  • Experience in (at least at one) 
    • Solving machine learning problems such as forecasting, churn modelling, segmentation, targeting etc., 
    • Designing and implementing end to end machine learning pipelines including EDA, feature engineering, feature selection, model training, model deployment in Azure, 
    • Developing in-house algorithms from areas of recommender systems and knowledge mining, 
    • Solving speech, text, image and video analytics problems with Azure Cognitive Services Stack, 
  • Ability to transform business requirements into technical specification,  
  • Solid analytical and conceptual skills,  
  • Willingness to travel around the world, to different destinations approx. 25% of the work time,  
  • Ability to prepare Scope of Work and WBS,    
  • Ability to manage a project within hours budget,    
  • Ability to architect a solution by mapping a customer’s business problem,   
  • Good soft skills: negotiation, communication, conflict resolution,  
  • Fluent English. 

Nice to have: 

  • Competency with AzureDevOps or similar tools, 
  • Experience in Microsoft Azure Data stack: Azure Synapse, Azure Data Factory, Azure Analysis Services. 

We offer:

  • 8000 PLN
    self-development budget
  • Globetrotter bonus
  • Hardware budget
  • All necessary licenses and tools for performing work
  • Co-financing
    of Multisport card
  • Co-financing
    of Medical Care
  • Co-financing additional group insurance
  • International projects
  • Clear career path
  • Mentorship
  • Flexible working hours including remote work
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