Introduction
The smartest companies today fully leverage data analytics for strategic decision making. The IBM Chief Analytics Office, a division of IBM Corporate Headquarters, combines business knowledge with big data to direct the future of IBM’s strategic transformation. Do you want to drive significant change within a leading global company and influence C-suite level decisions?

Your Role and Responsibilities
This position is an internal Staff Data Scientist Intern role with the Chief Analytics Office. You will work alongside consultants, managers, and data scientists to enhance business performance through analytics and data science focused initiatives. You will help transform data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. A typical day in the life of this role will include the following:

• providing thought leadership and strategic thinking to translate business problems into analytical frameworks
• operating as a subject matter expert on statistical analysis and machine learning for modeling, writing code, testing, and validating
• interpreting output and performance of models in business terms,and communicating findings to the team and stakeholders
• collaborate with cross-functional teams to understand their business needs, formulate and complete end-to-end analysis

CAOeph
Are you passionate about harnessing the power of big data and analytics to address real-world business problems and play a key role in influencing change? If so, we want you to apply.

We encourage interns to work from our New York metropolitan area or Research Triangle Park locations, but are open to remote work. Additional detail will be discussed throughout the interview process.

Required Technical and Professional Expertise

• BS or MS in Data Science, Machine Learning, Statistics, or related STEM field
• Proficiency in Python
• Experience and/or coursework with common Python libraries used by data scientists (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.)
• Experience and/or coursework in statistics and machine learning
• Experience and/or coursework working with structured and unstructured data
• Experience and/or coursework in deep learning and natural language processing
• Understanding of database technologies, data structures and SQL
• Demonstrated ability to think strategically about business and technical challenges in an enterprise setting
• Good presentation and communication skills with the ability to explain complex analytical concepts to people from other fields
• Demonstrated ability to share data science and machine learning experiment results with both technical and non-technical people
• Innovative mindset and an ability to take calculated risks
• Demonstrated a strong desire to learn new skills and excitement towards undertaking challenging transformations
• Ability to collaborate in a team environment

Preferred Technical and Professional Expertise

• PhD in Machine Learning, Statistics, or related STEM field
• Understanding of coding requirements for production applications (e.g., modularity, documentation, quality assurance, testing, logging, etc.)
• Knowledge of big data technologies (e.g., spark, Hadoop, etc.)
• Understanding of code versioning
• Experience in Agile development
• Experience deploying analytical models to solve business problems
• Experience in a project management function
• Ability to own analytical work from inception to completion, preparing project plans, creating and monitoring performance metrics
• Ability to manage key stakeholder expectations and asset delivery

The IBM Chief Analytics Office is an elite analytics consulting team that is tasked by IBM executives to pursue our most complex strategic issues. Our work is a combination of data science and management consulting. Through state of the art technology and the power of artificial intelligence, we strive to improve traditional business decision-making and processes.

This job requires you to be fully COVID-19 vaccinated prior to your start date, where legally permissible. Proof of vaccination status will be required. If you are unable to be vaccinated due to medical, pregnancy or religious reasons, we offer accommodations in accordance with applicable law.

Are you craving to learn more? Prepared to solve some of the world's most unique challenges? And ready to shape the future for millions of people? If so, then it's time to join us, express your individuality, unleash your curiosity and discover new possibilities.

Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change – to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.

It's time to define your career.

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Supplemental 1 employees may be eligible for paid holidays, paid sick time and Employee Stock Purchase Plan.

We consider qualified applicants with criminal histories, consistent with applicable law.

IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.