[IJDS] Data Scientist

Key Skills

Aartificial intelligence, AWS, Azure, Data Analytics, Data science techniques, Google Cloud Platform (GCP), MLOps tools, Python Programming, SPSS Statistics

Job Description

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role and Responsibilities

The Data Analytics Leader will oversee projects to solve business issues by utilizing data for various customers in the manufacturing and other industries.

As a data analysis leader, you will confirm business issues with customers, define policies for using data, and build solutions using data.

Your primary responsibilities include:

• Problem definition.
• Analysis policy study.
• Data processing.
• Data analysis.
• Model tune-up.
• System construction.

Assignments will be based on experience, skills, and preferences. In addition to data analysis, we have an environment where you can be involved in various phases, from upstream processes such as requirement definition, customer negotiation, and planning proposals, to design and development work, with the aim of establishing data utilization in the field.

Required Technical and Professional Expertise

• Experience inparticipating in projects that use data to solve business problems.
• Experience in dataprocessing using data analysis programming such as Python and analytical toolssuch as SPSS.
• Experience usingstatistical techniques with statistical analysis skills.

Preferred Technical and Professional Expertise

• Team lead/management experience.
• Experience in model development and operation in cloud environments such as AWS/Azure/GCP.
• Experience in building MLOps environment.