Data Scientist
1 week ago
Introduction
IBM Ecosystem/Build Lab guides and performs technical build motion activities for IBM's strategic Partners (ISVs - Independent Software Vendors).
IBM Build Labs leverages the power and flexibility of IBM's hybrid cloud and AI platforms for development, deployment and get-to-market validation, transforming partner products into innovative joint solutions.
With Red Hat OpenShift, IBM Cloud Paks and the entire IBM Cloud and AI portfolio. Modernized products can then run on virtually any platform, opening up new market opportunities and competitive advantages for partners — and their clients — not to mention the support and community of the IBM partner ecosystem
IBM Build Labs architects and developers can help Partners grow skills and advance solutions with essential capabilities in cloud, data, AI, security and more, on the most open and powerful hybrid cloud platform available.
Your Role and Responsibilities
To succeed, you will become a trusted collaborator with ISV partner developers and data scientists as they move their technologies and offerings to IBM software solutions across multi-cloud platforms.
You will have an opportunity to consult and provide guidance to ISV partners as they integrate their products, services and offerings to IBM software solutions across multi-cloud platforms.
This is an opportunity for you to help IBM and external partners succeed in growing cloud presence.As a Data Scientist on the Build Labs team, you will:
- Assist partners in defining, designing, implementing and deploying machine learning technologies in their product
- Participate in engagements with partners
- Enable partners on IBM's Data/AI technologies, products
- Effectively lead projects with multiple technical teams and IBM Partners across geographies
- Capture best practices for ML, Data/AI technologies, create documentation like articles, tutorials, and handson workshops & demos
- Demonstrate your passion to understand and learn new technologies, to innovate and improve quality of service
Required Technical and Professional Expertise
- Required skills 5+ experience with Data science or data engineering projects
- Experianceworking on enagements for data science, conceptualisation of use cases and experience in design, build, train and deploy ML components
- Expertise working with open source packages in NLP, Timeseries etc.
- Expertise with development in a data science programming language like Python or R
- Experience running and statistically evaluating models used in Machine Learning, Optimization, Neural Networks
- Experience with ETL tools & Data warehouses
- Experience using SQL and good RDBMS conceptual knowledge
- Experience in Data and AI offerings on Public clouds (AWS, Azure, Google etc.)
- Experience with ADO or Jenkins for CI/CD
- Must have one or more of the following customerfacing roles in work history:
- Understanding of data science open source technologies including Python, Jupyter notebooks, Pytorch, TensorFlow and Spark
- Professional/lab services, technical sales, support, ISV, or business partner focal
- Successful completion of a delivered customer project as a developer or data specialist
- Comfortable interacting with ISV and/or external customer
- You should be familiar with IBM software solutions across multicloud platforms and Red Hat OpenShift platforms or other public cloud platforms.
- Ability to understand and learn new technologies quickly
- Must exhibit excellent written and verbal English communication skills
- Bacheloers or Masters Degree in Stats or Maths
Preferred Technical and Professional Expertise
- 3+ years of experience in Big Data technologies (Hadoop, Spark)
- Expertise with Jupyter notebooks
- Experience with deep learning models using Keras
- Deep Understanding of Statistical Machine Learning Models with Python or R
- Experience with Watson Studio and IBM AI API
- Understanding of data science open source technologies including Python, Jupyter notebooks, TensorFlow, and Spark
- Big Data Certifications on Cloudera/Hortonworks/AWS/GCP/Azure
- Experience with AI Fairness 360 toolkit and/or Watson OpenScale
- Experience with IBM software solutions across multicloud platforms Pak for Data
- Experience as a client or ISV developer advocate
- Experience in Data and AI offerings on Public clouds (AWS, Azure, Google etc.)
- Experience with Databases and Data engineering
About Business Unit
IBM 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 consu-
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