Data Scientist I

Summary

SMS’s Data Scientists build advanced AI models that change how our clients do business by empowering them to make better decisions. Our Data Science team members are passionate about problem-solving with applied data science and work with clients to explore, specify, and communicate high-value, AI-based solutions.

As a Data Scientist at SMS-Group, you will collaborate with the SMS Electric and Automation team, Data Engineers, SW Engineers, UX Designers, and industry-specific experts from our client companies to build a deep understanding of our clients’ business context and then develop, test, and deploy advanced AI models. As we grow, you will also develop reusable IP to help us move faster, dive deeper, and work more efficiently by generalizing the models, methodologies, and supporting infrastructure you build. As one of the early hires to join the SMS team, you will significantly impact the future of Enterprise Artificial Intelligence.

You will develop and execute Data Science solutions for modernizations and new installations of Digital solutions for Rolling Mill, Metallurgy and Process Line equipment and support the development of the learning plant using AI methods

Who we are

At SMS group, our people are our greatest asset. We offer an entrepreneurial environment that promotes a culture of innovation, growth, and inclusion. We offer company events, activities, and opportunities to participate in charitable initiatives that benefit the communities where we are located.

www.sms-group.us

What you'll do

• Design and implementation of digital solutions based on project requirements, SMS standards and similar reference projects
• Interfaces and communicate with individuals and units within or outside of the engineering department as well as with customers and suppliers, with responsibility for providing Data solutions on technical and project-related matters.
• Perform Big Data Solution programming based on the function descriptions for the equipment related to the project
• Design and develop big data architecture and Process Data warehouse.
• Participation in integration testing of the Data Solution with the control system before shipment to the job site
• On Site Commissioning and training of the Digital Solutions
• Service of existing systems as required

What you'll need

• 1-2 years of experience in applied artificial intelligence technologies including machine learning, predictive data analytics, or data science BE/B. Tech or Advanced degree in a relevant field (Computer Science, Operations Research, Statistics, Mathematics, Electrical Engineering, or other Computational Science)
• Demonstrated ability to iteratively conceptualize, design, and build data-driven analytical models
• Some solid experience applying advanced AI techniques (machine learning, predictive analytics, optimization, semantic analysis, time-series analysis, advanced visualization) to real-world problems.
• Strong capabilities in modern analytics languages/tools
• Collaborative, open, and respectful working style
• Passion for learning and a desire to grow
• Be willing to travel to support the project work
• Bring a particular depth in at least one of the following areas: Deep Learning, Optimization or Operations Research, NLP, Image Processing, or Machine Learning.
• Has experience manipulating and preparing large, heterogeneous data sets (“Big Data”) to support advanced analytics.
• Excellent oral and written communication skills as well as excellent computer skills

What We Offer

Competitive compensation, medical/dental/vision coverage, paid vacation, paid holiday time, 401k with a company match, training, a tuition reimbursement program and more! SMS group is the leading partner in the world of metals. We are an original equipment supplier offering comprehensive maintenance and spare part services for metals production, continuous casting and rolling (flat and long products), tubes, welded pipes, forging, non-ferrous technology, and heat treatment plants - all from a single source.

SMS group Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, religion, national origin, age, sexual orientation, disability, veteran status, gender identity or other categories protected by law. Employment is contingent upon successful completion of a drug screen and physical capacity profile test.