We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud!
We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation!
The DSOM product line includes BMC’s industry-leading Digital Services and Operation Management products. We have many interesting SaaS products, in the fields of: Predictive IT service management, Automatic discovery of inventories, intelligent operations management, and more! We continuously grow by adding and implementing the most cutting-edge technologies and investing in Innovation! Our team is a global and versatile group of professionals, and we LOVE to hear our employees’ innovative ideas. So, if Innovation is close to your heart - this is the place for you!
You will be part of the Data Science team in Data Service Operations Management (DSOM) BU working on HelixGPT. HelixGPT is a generative AI solution from BMC tuned for IT, HR, enterprise service management (ESM), and operations use cases. The role combines both traditional data science responsibilities and cutting-edge model development. You will be responsible for a wide range of tasks, including data analysis, model building, and communicating findings to stakeholders
Here is how, through this exciting role, YOU will contribute to BMC's and your own success:
• Build out prototypes using a variety of cutting-edge technologies and tools.
• Develop quantitative models using a variety of programs/software to support predictive assessments.
• Support adoption of Artificial Intelligence (AI) and Machine Learning (ML) solutions.
• Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models & techniques.
• Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques.
• Design algorithms that require several different models/methods to be used in an ensemble.
• Deploy models into production.
To ensure you’re set up for success, you will bring the following skillset & experience:
Whilst these are nice to have, our team can help you develop in the following skills: