As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities
As a Managing Data Scientist Consultant at IBM Global Business Services, you will apply state of art AI techniques to address critical customer problems, add intelligence to automate manual workflows and drive tangible business value. You will be exposed a wide variety of problems that are clients are faced with - examples include finding defects in transmission lines using visual AI to using Natural Language Processing techniques to extract entities in a legal document.
This position is a Managing Data Scientist role with IBM Global Business Services, focusing on the design, development, and implementation of AI models and applications to solve client problems and drive business outcomes. Your responsibilities will include
Managing a team of data scientists and full stack developer to deliver on clients needs
Hands on management of the end-to-end AI lifecycle - data collection and preparation, exploratory data analysis, model selection/testing/validation, systematic model explainability, model interpretation in business terms and deploying the model for serving
Working with clients to understand their business needs, translate business problems into AI solutions and apply best practices and communicating findings back to the client
Lead workstreams and serve as a mentor for other data scientist
Willingness to travel up to 75% to client sites upon a mutual 'return to work' initiative starting
If you are hired into a Colorado work location, the anticipated compensation range for the position $126,000 to $194,000 is based on a full-time schedule. Your ultimate compensation may vary depending on your job-related skills and experience. For part time roles, the compensation will be adjusted appropriately.
POST COVID you are expected to travel up to 75% (4 days a week) of the time to meet our client needs across the US.
Health Insurance. Paid time off. Corporate Holidays. Sick leave. Family planning. Financial Guidance. Competitive 401K. Training and Learning. We continue to expand our benefits and programs, offering some of the best support, guidance and coverage for a diverse employee population.
Our goal is to be essential to the world, which starts with our people. Company-wide we kicked off an internal talent strategy program called Go Organic. At our core, we are committed to believing and investing in our workforce through:
Skill Development : Helping our employees grow their foundational skills
Finding the Dream Career at IBM: Navigating our company with the potential for many careers by channeling an employee's strengths and career aspirations
Diversity of People : Diversity of thought driving collective innovation
In 2015, Go Organic filled approximately 50% of our open positions with internal talent that were promoted into the role.
With an employee population of 375,000 in over 170 countries, amazingly we connect, collaborate, and care. IBMers drive a corporate culture of shared responsibility. We love grand challenges and everyday improvements for our company and for the world. We care about each other, our clients, and the communities we live, work, and play in!
Required Technical and Professional Expertise
BS in Data Science, Machine Learning, Statistics, or AI
3+ years of proficiency in Python
3+ years of experience with applying deep learning and machine learning techniques to solve problems
3+ years of Experience with common Python libraries used by data scientists (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.) and deep learning libraries (pytorch or Tesnorflow)
Experience working with structured and unstructured data
Experience building end-to-end data pipelines and deploying in the Cloud (AWS or Azure or GCP)
Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment
Experience in Agile development
Excellent oral and written communication skills
Ability to collaborate in a team environment
Preferred Technical and Professional Expertise
Master's degree in quantitative Field
Demonstrated leadership abilities, with team leader or managerial experience preferred
Proficiency with dealing with big data (Spark)
Hands-on experience deploying analytical models to solve business problems
Experience working in a consulting or services environment
About Business UnitIBM Services is a team of business, strategy and technology consultants that design, build, and run foundational systems and services that is the backbone of the world's economy. IBM Services partners with the world's leading companies in over 170 countries to build smarter businesses by reimagining and reinventing through technology, with its outcome-focused methodologies, industry-leading portfolio and world class research and operations expertise leading to results-driven innovation and enduring excellence.
Your Life @ IBMAre 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.
About IBMIBM'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.
Location StatementIBM offers a wide range of resources for eligible IBMers to thrive both inside and outside of work. In addition to a competitive benefits program consisting of medical and life insurance, retirement plans, and time off, eligible employees may also have access to:
*12 weeks of paid parental bonding leave. Family care options are also available to support eligible employees during COVID-19.
*World-class training and educational resources on our personalized, AI-driven learning platform. IBM's learning culture supports your restless attitude to grow your skills and build the depth and scale of knowledge needed to achieve your career goals.
*Well-being programs to support mental and physical health.
*Financial programs that empower you to plan, save, and manage your money (including expert financial counseling, 401(k), IBM stock discount, etc.).
*Select educational reimbursement opportunities.
*Diverse and inclusive employee resource groups where you can network and connect with IBMers across the globe.
*Giving and volunteer programs to benefit charitable organizations and local communities.
*Discounts on retail products, services, and experiences.
We consider qualified applicants with criminal histories, consistent with applicable law.
Being You @ IBMIBM 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.