Introduction
As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities
This role primarily focuses on developing ML solutions which leverage data from our products to drive insights and decision-making for our customers. The core responsibilities of the role involve supporting the automation, development and implementation of machine learning and deep learning models, management of big data infrastructure, and execution of data engineering tasks. The successful candidate will be part of our AI/ML development team who design, create, and support AI-driven products to deliver impactful AI solutions.

Your role and responsibility will encompass:

• Implementing solution for data engineering in data science / machine learning domain
• Designing, developing, and implementing end-to-end data solutions (storage, integration, processing, access)
• Architecting and implementing ETL and data movement solutions
• Designing and implementing high velocity streaming solutions
• Creating conceptual logical and physical data models
• Migrating data from traditional relational database systems to relational databases such as Azure SQL and Azure Synapse
• Implementing ad-hoc analysis solutions
• Ensuring platforms and tools meet or exceed data security standards, including internal and external audits performed

What we offer:

• Working for a top 5 IT company according to Forbes 2022 best employers ranking
• International and prestigious projects
• Highly skilled teams of experts
• Wide range of IBM trainings and certificates
• Access to Udemy, Harvard Business Review, O’Reilly, Interskill, IBM AI Skills Academy

And what is more:

• Contract of employment
• Competitive compensation – salary range, depending on your skills and experience
• Private medical care and life insurance
• Employee Assistance Program
• Sport, charity & other networking groups
• Summer/winter camps for children
• Discounts with IBM employee badge
• Referral Bonus Program
• Home office option
• No dress code

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Required Technical and Professional Expertise

• Minimum 5 years’ working experience in data modelling, ETL & ETL tools
• Demonstrate capability in data lake, data warehousing, data integration, data migration tools knowledge, data quality and profiling skills
• Experienced in relational database such as SQL server, Postgres, DB2, Oracle, etc
• Experienced in noSQL databases such as MongoDB, Cassandra, Hadoop,
• Experienced in a programming language such as Python, Java, C/C++
• Possesses knowledge in processing, transferring and reducing large volumes of data while maintaining high performance.
• Possesses experience of having solved complex analytical and technical problems
• Linux skills, preferably in RHEL
• Proficient in both spoken and written English

Preferred Technical and Professional Expertise

• Preferred experience in one or more cloud data platform such as IBM Cloud, AWS, Azure, GCP
• Preferred experience in collaboration with data scientist in data exploration and machine learning
• Experience with data visualization tools such as Tableau or Power BI.
• Certification in data engineering, machine learning, or AI.