At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
**Your Role and Responsibilities**
As an AI Solution Architect / Senior Data Scientist, you directly help clients transform their business and solve complex problems. You are a technical leader who will define and deliver customized, industry-specific Cloud solutions using your knowledge of cloud platforms, advanced analytics, and AI capabilities.
+ Provide best of breed, fit for purpose data science and architectural recommendations leveraging Cloud & traditional on-premise data services.
+ Provide detailed, hands-on expertise in creating data, AI, and advanced analytics solutions for IBM's clients.
+ Responsible for successful delivery of cloud and data science solutions and services in a client consulting environment
+ General data architecture, AI, and advanced analytics proposal support, design and delivery
+ Be accountable for creating end-to-end solutions on industry leading data platform offerings
+ Contribute to IBM's consulting services asset development
+ Lead teams in working with data platform & cognitive components including unstructured data technologies, annotation and related data and analytics, e.g. Real-World Evidence, Artificial Intelligence, Big Data, Data Warehouse, Business Intelligence, Data Integration, Enterprise Information Management, Master Data Management and/or Data Consolidation projects.
+ Ability to work independently, leading a workstream effectively, and on a team
+ Assist in assuring client satisfaction and maintaining a strong client relationship through delivery excellence
+ Support delivery as well as pre-sales activities and assessments
+ Passionate about mentoring of other team members
+ Strong soft skills that you can bring to bear to drive organizational and operational transformation
+ Demonstrated ability to engage with and present to both executives, data science teams, and technical engineering teams. You understand overarching business goals as well as analytics and technical implications and are able to speak to both
+ Use predictive modeling, optimization, and/or machine learning analytics techniques and tools/programming languages
+ Define key business problems to be solved; formulate mathematical approaches and gather data to solve those problems, develop, analyze/draw conclusions, test solutions and present to client.
+ Travel expectations are up to 75% (M-Th)
**Required Technical and Professional Expertise**
+ At least 4 years of Healthcare and Life Science industry experience
+ Experience implementing AI and advanced analytics solutions on the cloud within the Healthcare and Life Sciences industry
+ Excellent knowledge of Machine Learning and Statistical concepts and modeling techniques
+ Experience working with clinical, claims, and other PHI health data
+ Experience putting AI and Advanced Analytical Models into Production
+ At least 5 years working with cloud native platforms - IBM, AWS, Azure, Google, Snowflake
+ At least 4 years working with Python/pySpark and Scala
+ Experience working with different tools, such as SPSS, SAS, R, Python, Spark, etc. within a Big Data Cloud Environment
+ Experience implementing containerized, scalable (Docker & Kubernetes) micro-apps on cloud
+ At least 3 years of experience in senior data science and technical leadership roles as well as formal project management methodology
**Preferred Technical and Professional Expertise**
+ At least 5 years of experience with Agile Delivery
+ Experience developing and working within HIPAA-Compliant and/or GxP environments
**About Business Unit**
IBM 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 @ IBM**
What 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.
IBM'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.
For additional information about location requirements, please discuss with the recruiter following submission of your application.
**Being You @ IBM**
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, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Associated topics: capital, commission, credit, economics, economy asset, market, estate, insurer, investment, pricing