We are looking for a team leader for our data scientists’ team from CRM department/Marketing Division.

Responsibilities:

• Coordinate Data Science Team in charge with the development of Data Science use cases related to the customer focus
• Manage use case backlog for both new use cases and existing models’ maintenance on the use case delivery stream
• Support prioritization and estimation of effort needed for different use cases
• Create, implement, assess and improve the set of rules and standards applicable in Advanced Analytics
• Participate in the hiring process, coordinate, support and coach the data scientists in their tasks and responsibilities while actively working together
• Lead cross functional implementation teams (business translator, data scientists and other IT Roles) on the use case delivery stream, eliminate potential role blocks
• Decide on selection of tools, software, models and algorithms
• Translate data analysis findings and research principles into concrete findings to key decision makers
• Research, select and drive the adoption of new technologies supporting the Advanced Analytics
• Drive the improvement of IT Advanced Analytics supporting infrastructure
• Set tasks, plan experiments, communicate with counterparts
• Support Advanced Anlytics communities from internal organization

 A good Team Leader Data Scientist has:

Technical Skills

• Combine technical and statistical abilities with business understanding (processes and products), and project management (agile framework)
• Strong presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields
• Knowledge of project management principles and Agile framework, stakeholder management, scope definition
• Understanding of statistical, modeling and machine learning techniques
• Understanding cross-validation and relevant metrics for model selection
• Scripting skills (SAS,Python, R) and usage of collaborative programming tools
• 3-5 years of experience of working with Machine Learning models
• Knowledge about standard Python and R packages and their capabilities
• Knowledge about IDE’s for data science such as Jupyter Notebook/ JupyterLab/ RStudio
• Familiarity with basic principles of distributed computing and/or distributed databases
• Knowledge about GitHub for collaborative work, about deployment of applications in Docker, about Flask
• Usage of SQL (Oracle, SQL Server, procSQL)

Cool if: 

• Knowledge about big data infrastructure
• Knowledge about analytical/data solutions in AWS, Azure, Google Cloud

Soft Skills

• Strong Work Ethics
• Leadership skills, problem-solving, highly organized, have an ability to handle multiple simultaneous tasks, prioritize and meet tight deadlines
• Team-builder, result-oriented, proactive and self-driven
• Curiosity, ready to try new technologies and ideas, capacity to select viable products, perseverance in opening and building new paths
• Ability to understand the business aspects and the related data environment
• Capacity to drive changes in technology and culture
• Capacity to work and relate business and IT
• Capacity to correlate various and complex information and to integrate in compact and relevant format for decision making
• Proactive mindset, willingness to take initiative and work with little supervision