IBM IBM Cognitive Process Transformation - Cognitive Engineer Consultant in New York, New York
IBM Global Business Services is a team of business, strategy and technology consultants enabling enterprises to make smarter decisions and providing unparalleled client and consumer experiences via Cognitive data analytics, cloud technology and mobile app development. With global reach, outcome-focused methodologies and deep industry expertise, IBM GBS empowers clients to digitally reinvent their business and get the competitive edge in the cognitive era in over 170 countries.
IBM is a leader in this global transformation, and there is no better place to launch or further your career. World-class learning opportunities, mentoring and a flexible work environment
you will find a wealth of opportunities within IBM to create the career you’ve always imagined.
This is our vision for the future of Data Analytics
our belief in the rise of you
this is: You to the power of IBM.
What Does an IBM Cognitive Engineer Opportunity Offer?
Experience - Consulting experience and client interaction on challenging projects
Education & Training - Ongoing learning and development opportunities
Networking & Professional Development - IBM leadership and peer networking opportunities
Supportive and dynamic team work environment
Compensation – our employees enjoy a competitive compensation package
What Will You Do as an IBM Cognitive Engineer Consultant?
We offer exceptional consulting opportunities to work with some of the brightest minds in the business in the Digital practice within the Analytics and Cognitive Computing domains, specifically in the areas of Big Data, Cognitive Computing, Data Science. Our Cognitive Engineers work as members of engagement teams, often at client sites, to bring value to our clients. 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:
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.
Cognitive Computing - Provide business insights to IBM clients through innovative solutions and services for unstructured data using IBM's Watson Cognitive approach. The combination of the following capabilities makes Watson unique:
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.
Data Science - Responsible for successful delivery of data science solutions and services in a client consulting environment; experience in predictive modeling, optimization, and/or machine learning analytics techniques using tools/programming languages including SPSS, SAS, R, Python, Spark, etc. within a Hadoop-enabled environment. Define key business problems to be solved; formulate mathematical approaches and gather data to solve those problems, develop, analyze/draw conclusions, test solutions and present to client. Enhance performance by applying advanced mathematical modeling, data analytics, optimization, and machine learning techniques.
Full Stack Engineer - As a Full Stack Engineer, you will be to work on these solution 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
2+ years of prior consulting &/or relevant work exp 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), Healthcare & Life Sciences
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
Preferred Tech and Prof Experience
Ability to define key business problems to be solved, formulating approaches and gather data to solve those problems, develop/analyze/draw conclusions and present solutions.
Demonstrated leadership skills
A passion for innovative ideas, coupled with the ability to understand and assimilate different points of view
Capacity and eagerness to learn new assignments, systems, and tools
Aptitude for technology tools and applications
Issue-based consulting skills
Ability to thrive in an intense team atmosphere while making individual contributions
Ability to handle multiple tasks concurrently and meet deadlines
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.