Data scientist specialist

Requirements:

• Advanced/Fluent English proficiency is mandatory - you will be in touch with customer s Global Team on a daily basis
• Bachelors degree in an Computer/Software Engineering, Computer Science, or Information Technology discipline

Main Skills

• Experience of designing and building multi-cloud solution
• Fundamental understanding of AI/ML and working experience with GenAI
• Hands-on knowledge of developing and designing Elastic search/OpenSearch, Apache airflow would be added advantage 
• Technical knowledge across technologies such as Python / React / Data Engineering / AWS / Databases / Web Infrastructure. Experience in building scalable, reliable and highly available applications including understanding of architecture to evaluate designs and implementation.
• Experience in software engineering leadership of driving engineering practices of CI/CD, Security, TDD, automation and observability
• Experience working with distributed systems like Spark using Databricks as a platform.
• Deep understanding of security frameworks, authentication and authorization schemes.

Soft Skills

• Influencing stakeholders, driving negotiation and effectively resolving conflicts 
• Excellent problem-solving and critical-thinking abilities.
• Strong communication skills to convey technical concepts to non-technical stakeholders.
• Ability to work independently and as part of a team in a fast-paced environment.

Responsibilities:

• Be a servant leader for two scrum teams, ensuring alignment of efforts to the customer experience and business outcomes
• Collaborate closely with Product Manager, to define the vision, strategy, and roadmap for your area of responsibility, providing necessary technical perspective and insights
• Be a technical coach for responsible teams with focus on full stack technical capabilities, engineering practices, and quality. Help make technology choices and design, address technical impediments for your teams
• Develop engineering talent with challenging roles and growth opportunities
• Take technology decisions balancing financial impact, business needs and enterprise technology direction
• Manage IT operating budget for supported products
• Provide team motivation, recognition, and constructive performance feedback
•  Foster Agile culture among teams, with focus on outcomes and product quality
• AI problem solving, focused on machine learning and innovation solutions
• Producing these innovative experiences without compromising quality & security.