At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain.
We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways.
Are you curious about being part of our growth story while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.
ABOUT THE OPPORTUNITY…
The Data Scientist applies machine learning, mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights. They design tailor-made solutions from this data, aiding the Reporting CoE and the functional owners in achieving their objectives and goals.
RESPONSIBILITIES…
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Contribute to the analytics techniques on a very large set of diverse data from connected assets, anomaly detection, business analytics, data visualization.
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Contribute to teams by solving problems of medium to high complexity in analytics approach, related digital technology, or business domain
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Help create solutions for product roadmap and customer-driven requirements.
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Participate in design discussions to develop ML models performing classification and entity extraction from various forms of digital content (Images, Audio/video, and other digital file formats).
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Participate in the build and deployment of models into Iron Mountain platforms.
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Work with reporting managers, data architects, and data analysts to deliver analytics based solutions.
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Assist in designing and executing predictive modeling projects using statistical methods and machine learning techniques.
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Identify, resolve, and escalate any issues impeding project success.
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Design and deployment of ML models using Python to perform classification and entity extraction of various forms of digital content (Images, Audio/video, and other digital file formats).
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Apply effective visualization tools to make descriptive analysis and results intuitive and informative to the team and customers.
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Participate in research and development to build Iron Mountain ML portfolio with state-of-the-art technology.
SKILLS & REQUIREMENTS…
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Advanced English level.
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Professional in mathematics, statistics, finance or related careers with large-scale numerical skills.
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Strong knowledge of SQL, Python, Tableau visualization.
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Minimum experience of 3 years in similar positions
WHAT’S IN IT FOR YOU?
- Be part of an ever evolving global organization focused on transformation
- Have a support system where you have a safe place to voice your opinion and share feedback
- Open space to be creative, strategize, brainstorm, and plan for the future success of IRM
- Global connectivity to learn from 27,000+ teammates across 63 countries
- Be part of a winning team who embrace diversity, inclusion, and our differences
Category: Technology
Top Skills
What We Do
Iron Mountain Incorporated (NYSE: IRM) is the global leader for storage and information management services. Trusted by more than 220,000 organizations around the world, Iron Mountain boasts a real estate network of more than 80 million square feet across more than 1,350 facilities in 45 countries dedicated to protecting and preserving what matters most for its customers. Iron Mountain’s solutions portfolio includes records management, data management, document management, data centers, art storage and logistics, and secure shredding help organizations to lower storage costs, comply with regulations, recover from disaster, and better use their information. Founded in 1951, Iron Mountain stores and protects billions of information assets, including critical business documents, electronic information, medical data and cultural and historical artifacts.
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