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IBM 2022 Senior Cognitive Engineer Consultant (Grad) - IBM Consulting in Chicago, Illinois

Introduction

As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities

What Will You Do as an IBM Senior Cognitive Engineer Consultant?

We offer exceptional consulting opportunities to work with some of the brightest minds in the business within the Analytics and Cognitive Computing domains, specifically in the areas of Big Data, Cognitive Computing, Data Science. Our Cognitive Engineer Consultants work as members of engagement teams, often at client sites, to bring value to our clients, as well as part of high-impact internal teams developing industry-leading assets and models. You'll join a team that combines sophisticated data analytics with market-leading global solutions, deep industry insight and business consulting expertise.

Our opportunities are in one of the following core skill areas:

Data Science / Machine Learning Engineer - Responsible for successful delivery of data science solutions and services in a client consulting environment. In this role, you will:

  • Lead strategy discussions and help to design and develop a solution that meets clients goals and outcomes

  • Define key business problems to be solved and formulate mathematical approaches and gather data to solve those problems, develop, analyze/draw conclusions, test solutions and present to client.

  • Leverage your experiences in predictive modeling, optimization, and/or machine learning analytics techniques using tools/programming languages including Python, R, Spark, etc. as well as ML Deployment capabilities like Docker, Container, Microservices, Kubernetees within a Big data-enabled environment

  • Demonstrate End to End understanding of a Model Development Lifecycle and frameworks with a focus on implementation libraries/packages/APIs (e.g. scikit-learn, Theano, Spark MLlib, H2O, TensorFlow etc.)

  • Enhance performance by applying advanced mathematical modeling, data analytics, optimization, and machine learning techniques

  • Implement new, highly scalable platform components and tools leveraging machine learning and deep learning models to solve real-world problems in areas such as speech recognition, natural language processing and time series predictions

  • Deploy packaged solutions using tools/frameworks such as React JS, Flask, Maven etc.

  • Conduct real world statistical A/B testing scenarios and fine tune models based on feedback

Cognitive Computing - Provide business insights to IBM clients through innovative solutions and services for unstructured data using the best of breed open AI software and tools. For example:

  • Natural language processing by helping to understand the complexities of unstructured data

  • Hypothesis generation and evaluation by applying advanced analytics to weigh and evaluate a panel of responses based on only relevant evidence

  • Dynamic learning by helping to improve learning based on outcomes to get smarter with each iteration and interaction. This combination delivers a powerful solution:

  • To move beyond the constraints of programmatic computing

  • To move from reliance on structured, local data to unlock the world of global, unstructured data

  • To move from decision tree-driven, deterministic applications to probabilistic systems that coevolve with their users

  • To move from keyword-based search to an intuitive, conversational means of discovering a set of confidence-ranked responses. If your expertise is with unstructured data and advanced analytics; ability to apply semantic correlation, ontology and text analytics techniques and systems to analyze non-structured data and identify critical insights for overall business analytics across various domains. Experience in analyzing text, streams, documents, social media, speech and video with emerging Hadoop-based big data, NoSQL, Natural Language Processing (NLP), Search and Text analytics technologies and techniques. Possess solid skills in Java or C++ development and a good understanding of working with Hadoop, Artificial Intelligence (AI) or other cognitive computing technology.

Big Data & Analytics - Provide business insights to IBM clients through innovative solutions and services for both structured and unstructured data.

  • If your expertise is working with structured data; apply methods, techniques & technologies that address data architecture, integration and governance of data. Utilize experience in database concepts, data modeling; data integration including design and architecture. Master data management, including customer data strategy, product data strategy and organizational hierarchy, and Information (data) Governance including strategy, implementation, business glossary, metadata and industry frameworks. Tasks include data mapping, detailed data analysis and metadata analysis and providing hands-on business knowledge working with database developers, DBAs, architects, data quality analysts, and other teams while seamlessly managing client relationships within context of individual role.

  • If your expertise is working with unstructured data; ability to apply semantic correlation, ontology and text analytics techniques and systems to analyze non-structured data and identify critical insights for overall business analytics across various domains. Experience in analyzing text, streams, documents, social media, speech and video with emerging Hadoop-based big data, NoSQL, Natural Language Processing (NLP), Search and Text analytics technologies and techniques. Possess solid skills in Java, C++, Python, or Skala development and a good understanding of working with Hadoop.

Full Stack Engineer - As a Full Stack Engineer, you will work on these solutions across the entire tech stack. You will work with databases, distributed systems, microservices, message bus/queues, and frontend user interfaces.

  • Develop highly scalable microservices / RESTFUL Services and APIs

  • Develop user-friendly interfaces and dashboards, translation of designer mockups and wireframes into front end code

  • Write unit and integration tests

  • Build instrumentation and metrics for monitoring and alerting systems

  • Document your work Research and implement new technologies to solve customer problems

Required Technical and Professional Expertise

  • Ability to look at things differently, debug, troubleshoot, design and implement solutions to complex technical issues.

  • Strong technical and analytical abilities, a knack for driving impact and growth, and experience with a programming/scripting in a language such as Java or Python.

  • Understanding of statistical programming in a language such as R, Python, or SAS, SPSS, MATLAB.

  • Understanding of Cloud (AWS, Azure, etc.).

  • Excellent verbal and written communication skills.

  • Work or internship experience using data science tools in a corporate environment.

  • Interest in, understanding of, or experience with Design Thinking and Agile Development Methodologies.

  • Willingness to travel up to 100% of the time.

Preferred Technical and Professional Expertise

  • Prior consulting &/or relevant work experience in one of the following industries: Communications - (Media & Entertainment, Telecom, Utilities), Distribution - (Customer Package Goods, Pharmaceutical, Retail, Travel & Transportation), Financial Services - (Banking, Financial Markets, Insurance), Industrial - (Aerospace & Defense, Automotive, Chemicals & Petroleum / Industrial Products, Electronics), Public - (Healthcare & Life Sciences, Government)

  • Possess required skills and education associated with Predictive or Business Analytics; Business or Marketing Intelligence; Computer Science; Computer Information Sciences and Technology; Computer or Management Information Systems; Information Technology; Applied Mathematics; Applied Statistics; and Operations Research

  • Strong Computer Science background

  • Familiarity with Clouds such as Azure, AWS, IBM Cloud and Google Cloud

  • Issue-based consulting skills

About Business UnitIBM 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.

This job requires you to be fully COVID-19 vaccinated prior to your start date, where legally permissible. Proof of vaccination status will be required. If you are unable to be vaccinated due to medical, pregnancy or religious reasons, we offer accommodations in accordance with applicable law.

Your Life @ IBMAre you craving to learn more? Prepared to solve some of the world's most unique challenges? And ready to shape the future for millions of people? If so, then it's time to join us, express your individuality, unleash your curiosity and discover new possibilities.

Every IBMer, and potential ones like yourself, has a voice, carves their own path, and uses their expertise to help co-create and add to our story. Together, we have the power to make meaningful change - to alter the fabric of our clients, of society and IBM itself, to create a truly positive impact and make the world work better for everyone.

It's time to define your career.

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 StatementIBM offers a wide range of resources for eligible IBMers to thrive both inside and outside of work. In addition to a competitive benefits program consisting of medical and life insurance, retirement plans, and time off, eligible employees may also have access to:

*12 weeks of paid parental bonding leave. Family care options are also available to support eligible employees during COVID-19.

*World-class training and educational resources on our personalized, AI-driven learning platform. IBM's learning culture supports your restless attitude to grow your skills and build the depth and scale of knowledge needed to achieve your career goals.

*Well-being programs to support mental and physical health.

*Financial programs that empower you to plan, save, and manage your money (including expert financial counseling, 401(k), IBM stock discount, etc.).

*Select educational reimbursement opportunities.

*Diverse and inclusive employee resource groups where you can network and connect with IBMers across the globe.

*Giving and volunteer programs to benefit charitable organizations and local communities.

*Discounts on retail products, services, and experiences.

We consider qualified applicants with criminal histories, consistent with applicable law.

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

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