We are in a data science renaissance.
Companies that embrace Artificial Intelligence 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 them learn how to succeed with AI. The team will include AI engineers, optimization engineers and data journalists.
The elite 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 will also perform evangelize activities including presenting, leading workshops and blogging on the how-to and value of Artificial Intelligence based on experienced gained from development real-world use cases. The elite team of data scientist 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.
Identify use cases, Break use case down into discrete units of work
Code AI use cases using python notebooks to build & validate models
Deploy models via APIs into applications or workflows, Monitor & retrain models
Visualize output of data story in a way that is consumable by all
Develop Machine Learning pipelines and train models.
Design and implement optimal data pipeline architectures
Assemble large, complex data sets
Identify, design, and implement process improvements: including process automation, optimizing data delivery, etc.
Design optimal ETL infrastructures from variety of data sources
Understand how to incorporate governance processes and tools into the data landscape
Work with executive, LOB, design and IT stakeholders on data-related technical issues and infrastructure needs
Guide and mentor clients and internal stakeholders to become self-sufficient practitioners
Provide thought leadership in field of Data Science, Machine Learning and Artificial Intelligence
Participate actively in business development activities, such as public speaking engagements, participating in client events, and networking across IBM globally.
While working across all these industries, you will also get to travel the world as these engagements will require that the team spend several weeks at client sites working on data science problems with a diverse team.
As a member of the team you will have a broad knowledge base in Data Science and Industry Solutions with in- depth expertise in Machine Learning / Data Science / AI.
Interpersonal and engagement skills. You’ll be working with a variety of clients, both technical and non-technical.
Able to work independently, you’re a self-starter.
You’ll be on the fore-front of some of the newest tech in the world. Nothing will be impossible to you – you have a “start-up” mindset.
You’re a tech evangelist – you share your love for data science at meet-ups, on blogs, social media and industry events.
Preferred Work Locations: NY, San Francisco, Austin or Research Triangle Park, NC
Required Technical and Professional Expertise
Minimum of 6 years relevant experience;
Coding experience with Python, R, Scala or Java;
Experience using open source packages and notebooks;
Experience in data modelling and evaluation;
Experience with Relational SQL and NoSQL databases, including DB2, Oracle, Postgres, Cassandra;
Demonstrated experience in applying supervised, unsupervised and semi-supervised learning techniques;
Working experience with big data technologies, such as Hadoop, Spark, Kafka etc;
Demonstrated experience with Probabilities and Statistics; Machine Learning pipelines - data ingestion, feature engineering, modelling including ensemble methods, predicting, explaining, deploying and diagnosing over fitting; and model selection and sampling.
Preferred Tech and Prof Experience
Experience with deep learning and neural nets;
An ability to consume and deploy data via APIs;
Experience with Agile methodologies, team leadership and project management.
Experience with stream processing, message queuing technologies.
Advanced degree (Master’s or PhD) in Data Science, Machine Learning, or related field;
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.