Easter Seals Jobs

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. Collaborative activities include Proofs of Concept, Minimum Viable Product, Customer Ready Products and Workshops.

Your Role and Responsibilities

As Build Labs Team Data Scientist, you will support the creation of cloud applications that work smarter and more effectively by infusing data science workflows to extract business insights from data. These insights will drive increased value - for many of the biggest and most complex ISV partner applications. You will work with a team of engineers with expertise in industry-leading Cloud platforms and technologies to implement these transformations.

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 role will interface with marketing, expert services, development, other IBM delivery organizations and business development leaders to ensure successful outcomes. Candidates must be comfortable working in a dynamic and rapidly evolving agile work environment.

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 hands-on workshops & demos

• Demonstrate your passion to understand and learn new technologies, to innovate and improve quality of service

Required Technical and Professional Expertise

• 5-8yrs of experience with Data science or data engineering projects

• Experience working on engagements for data science, conceptualisation of use cases and experience in design, build, train and deploy ML components. Strong Foundation in Statistics and machine learning algorithms.

• 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 customer-facing 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 multi-cloud 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

Background

• 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 multi-cloud 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 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 @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Location StatementWhen applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience.

For additional information about location requirements, please discuss with the recruiter following submission of your application.

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, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.