Transforming the Future with the Convergence of Simulation and Data 

 

Lead Technical Specialist - SAS

 

Do you like a challenge, are you a complex thinker who likes to solve problems? If so, then you might be the new Altairian we are searching for. At Altair, your curiosity matters. We pride ourselves on a business culture that enables open, creative thinking, and we deeply value our employees and their contributions towards our clients' success, as well as our own.

 

Summary:

 

The candidate must have the capability to create, design and build systems for collecting, storing, and analysing data. They should have had exposure building data pipelines, preparing data, and building, validating, and deploying predictive models. Experience with the Language of SAS is required.

 

Primary skills required:

4- 10 years significant experience in using the SAS and SQL Languages Experience in an Unix environment Experience in complex data manipulations using SAS Language Experience in SAS platform administration Excellent communication skills, both written and verbal including strong presentation and demonstration skills, Experience presenting to all levels of business including C-level executives is strongly desired Experience addressing challenges with “Big Data” using Jupyter/PySpark and Hadoop is desired MLOps / Model Management and Deployment in Public Cloud or Private Cloud is desired. Development of an end-to-end implementation of a Data Science project in Cloud or on-premise is desired.

Applicants should have skills in one or more areas:

Cloud and\or Server Administration Mainframe experience Excellent understanding of databases core concepts and familiarity with SQL and NoSQL databases (e.g., MySQL, MongoDB) Awareness of data warehouse and ETL concepts. Working with different SAS modules for developing data pipelines and data modelling. Experience with using cloud services (AWS/ Google/ Azure) and cloud concepts (IaaS, PaaS, and SaaS) Advanced Degree in Sciences, Computer Science, Math, IT, or related field

Minimum Requirements:

Post Grad Data Science related degrees or certificates also preferable A minimum of 4 years’ experience in a similar role. 4-10 years’ experience is preferred. Proven ability to manage multiple projects while paying strict attention to detail University undergrad degree in Statistics, Engineering, Computer Science or related discipline Strong knowledge of data mining and data Modelling. Excellent organizational and analytical abilities. Outstanding problem solver. Good written and verbal communication skills. Identifying/understanding the business problem (abstract level) Understanding in End-to-End lifecycle of data-intensive application

What You Will Do:

Work on Data Analytics professional service projects, POCs based on business requirements. Provide data preparation, data modelling and deployment solution with Altair portfolio

 

 How You Will Be Successful:

Envision the Future Communicate Honestly and Broadly  Seek Technology and Business “Firsts”  Embrace Diversity and Take Risks 

 

Why Work With Us:

 

Altair is a global technology company providing software and cloud solutions in the areas of product development, high performance computing (HPC) and data analytics. Altair enables organizations in nearly every industry to compete more effectively in a connected world, while creating a more sustainable future. With more than 3,000 engineers, scientists and creative thinkers in 25 countries, we help solve our customer’s toughest challenges and deliver unparalleled service, helping the innovators innovate, drive better decisions, and turn today’s problems into tomorrow’s opportunities.

 

For more than 30 years, we have been helping our customers integrate electronics and controls with mechanical design to expand product value, develop AI, simulation and data-driven digital twins to drive better decisions, and deliver advanced HPC and cloud solutions to support unlimited idea exploration.

 

To learn more, please visit  .                                                                          Ready to go?  #ONLYFORWARD

 

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