We are in a data science renaissance. Companies that embrace data science will lead and those who do not will fall behind.
To help IBM's clients lead, we are building an elite team of data science practitioners to help clients learn how to succeed with data science. The team includes data engineers, machine learning and deep learning engineers, operations research / optimization engineers and data journalists.
The team will engage directly in solving real-world data science problems in a wide array of industries around the globe with IBM clients. The elite team of data scientists will work with other IBMers and client data science teams to solve problems in banking, insurance, health care, manufacturing, oil & gas and automotive industries, to name a few.
We are looking for a Principal Data Scientist for this team. This is a leadership role, where the individual will lead multiple squads in client engagements. This person should have a balance of strong Data Science skills and executive client-facing experience.
Lead Data Science Engagements with Clients
Communicate effectively with line-of-business executives and end-users to understand use cases, lead project definitions, and convey business value of the project
Identify a use case
Break that use case down into discrete sprints
Work in code notebooks
Create Machine Learning pipelines and train models.
Build & validate models
Deploy models via APIs into applications or workflows
Monitor & retrain models
Use code repositories to version and share code/notebooks
Visualize the output of their data story in a way that is consumable by all
Guide and mentor clients to become self-sufficient data science practitioners
Guide and mentor junior members of the IBM team
Work Locations: New York (preferred) and San Francisco
While working across all these industries, you will also get to travel the world as these engagements will require meeting clients, as well as leading a data science team at the client site.
As a member of the team you will have a T-shaped skill set, having a broad knowledge base in Data Science and Industry Solutions in general, but also in- depth expertise in Machine Learning / Deep Learning.
Required Technical and Professional Expertise
At least 10 years experience - Computer Science, Programming skills
At least 10 years experience - Data and Analytics
At least 5 years experience – Machine Learning and Deep Learning
Demonstrated C-Level customer interaction skills
Solid Business Acumen
Preferred Tech and Prof Experience
At least 10 years experience - programming skills in at least two of the following: Python, R, Scala or Java. Preference for Python
At least 5 years experience - in applying supervised, unsupervised and semi-supervised learning techniques
At least 5 years experience – Machine Learning pipeline - data ingestion, feature engineering, modeling including ensemble methods, diagnosing over-fitting, predicting, explaining, deploying etc.
At least 5 years experience - in model selection and sampling
At least 2 years experience - deep learning and neural nets
At least 5 years experience – Big Data, Hadoop, Spark
At least 10 years experience - Business and Leadership
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.