Job Information

IBM Senior Data Scientist in Austin, Texas


The IBM Garage was founded in 2014, to make clients successful adopting IBM Cloud - which was a new thing at the time. The Garage's way of accelerating business value for its clients has proved so successful that it has expanded steadily, covering more and more of IBM's portfolio worldwide. A client recently described their experience with us by saying that the Garage 'felt like working with a highly agile and creative startup, but at the same time we had full access to the competence, quality, and scale of IBM.'

A brand-new Garage organization has been created this year in our presales organization to apply the Garage co-creation approach to introduce IBM cloud and cognitive technologies to our clients - spanning from our Red Hat Open Shift platform to solutions such as business automation or supply chain. We keep our clients focused on their end users and business outcomes, and we help match their needs with IBM's enterprise technological capabilities.

We're creating squads made up of IBM designers, solution architects, cloud engineers, data scientists, and subject-matter experts. The squads involve the client in the experiential process of working with the Garage, co-creating value side by side executing projects of typically 3 to 6 weeks duration. You can learn more about the IBM Garage approach at

Your Role and Responsibilities

As a Data Scientist working at the IBM Garage, you will be the Subject Matter Expert on ML, Data and AI Statistical models and how they apply to business problems.

Led by a solution architect, you will advise on and help implement models in Machine Learning, Optimization, Neural Networks, and Artificial Intelligence such as Natural Language, and other quantitative approaches.

You will act as a key contributor partnering with clients to understand business problems and propose solutions.

You will deliver meaningful insights and predicts emerging trends to inform business solutions that optimize client value.

You will contribute to co-creation of rapid proofs of concept and minimally viable solutions that demonstrate business value, leading to client investment in strategic solutions.

To be successful in this role you:

  • are creative, out of the box thinker, you dare to try new ideas and innovation is always on your mind.

  • are familiar with Data Engineering techniques to gather, prepare, cleanse, and transform client data for analysis and AI automation, including automating data pipelines

  • Demonstrate strong business acumen and ability to understand business problems, formulate hypotheses and test conclusions to influence solution design

  • Leverage a variety of structured and unstructured data sources, analytics, AI tools, and programming languages to derive meaningful data insights (e.g., Python, R, Spark, TensorFlow, Jupyter, etc.)

  • Possess relevant industry and/or business domain knowledge such as Financial Services/Banking, Retail/Consumer Product, Telco, Public/HealthCare which you will apply to shape solutions

  • Expand partnerships at all levels of the client organization to identify new opportunities for data science applications


Required Technical and Professional Expertise

  • At least 4 years as a Data Scientist with a deep understanding of Statistics, Machine Learning, NLP/NLU

  • At least 4 years of experience with identifying data sources, transforming data, and the use of Frameworks (e.g., MXNet, TensorFlow, PyTorch, SparkML, scikit-learn) to help our customers build ML models

  • At least 2 -4 years in a client facing role, including facilitating client discussions and problem framing

  • Creative mind and out of the box thinking and you write code with Python, R, Scala, Java, C++ & G0

Preferred Technical and Professional Expertise

  • Masters or PhD in a highly quantitative field (Data Science, Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)

  • Experience Consulting with client and taking on and solving complex business problems related to data, Ability to thrive in a startup environment and deliver on the end goals

  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment

  • Experience and Ability to work across multi clouds (IBM, AWS, GCP and Azure)

About Business UnitIBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company's Global Markets organization is a strategic sales business unit that manages IBM's global footprint, working closely with dedicated country-based operating units to serve clients locally. These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients' growth and innovation. By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities. Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply. IBM is also expanding its reach to new and existing clients through digital marketplaces.

Your Life @ IBMWhat matters to you when you're looking for your next career challenge?

Maybe you want to get involved in work that really changes the world? What about somewhere with incredible and diverse career and development opportunities - where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust - where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible.

Impact. Inclusion. Infinite Experiences. Do your best work ever.

About IBMIBM's greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.

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.

This position is eligible for participation in an IBM sales incentive plan. Actual incentive opportunity will be based on performance and the eligible Target Incentive, as addressed in the applicable plan, all of which is subject to change.

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.