Data Scientist-Client Engineering

Job description

IBM is continuously accelerating its digital transformations to help clients modernise their applications, address new markets and make investments in emerging opportunities through our hybrid cloud and AI strategy. Creating client dedicated garages are key to delivering rapid innovation and desired outcomes for our clients.
At IBM Client Engineering , we are a multi disciplinary team with designers, architects, developers, data scientists, and business strategists and thought leaders on Cloud, AI, and more. By leveraging enterprise Design Thinking, lean Start-up strategies, development, security and operations (DevSecOps) we create an entrepreneurial “fishbowl” to deliver outcomes faster than would otherwise be possible.
If the thought of innovating at start-up speed with enterprise scale excites you, IBM Client Engineering is the right team for you!

Your Role and Responsibilities
Who you are
  • You are a Data scientist in IBM Client Engineering team focused on delivering unique client co-creation experience to accelerate client transformation
  • You Translate business problems into leading-edge analytics solutions using consulting skills, industry expertise and technical knowledge.
  • You deliver meaningful insights and predicts emerging trends to inform business solutions that optimize client value.

What you will do
  • Data Scientists in IBM Client Engineering team are part of cross-Functional team that delivers a unique client co-creation experience to accelerate client transformation.
  • Acts as a key contributor to pre-sales IBM Client Engineering Team, partnering with clients to understand business problems and propose solutions
  • Contributes to co-creation of rapid proofs of concept and minimally viable solutions that demonstrate business value, leading to client investment in strategic solutions
  • Translate business problems into leading-edge analytics solutions using consulting skills, industry expertise and technical knowledge
  • Delivers meaningful insights and predicts emerging trends to inform business solutions that optimize client value.
  • Familiar with Data Engineering techniques to gather, prepare, cleanse and transforms client data for analysis and AI Automation, including Automating data pipelines
  • Solutions using consulting skills, industry expertise and technical knowledge.
  • You deliver meaningful insights and predicts emerging trends to inform business solutions that optimize client value.

Required Technical and Professional Expertise
  • Overall 10+ years of Industry experience
  • Master of tools and techniques required to evaluate trust and transparency
  • Leads as a SME in a knowledge domain, internally and externally and in the broader IBM enterprise
  • Drives adoption of data science platforms and tools across BU projects; contributes to efficiency of operations, business continuity and security through understanding and executing on appropriate practices of statistical, machine learning and AI algorithms
  • Leads team to develop and implement state-of-the-art analytical algorithms for analytics and machine learning solutions, enabling improved market competition and better achieving customer needs
  • R&D project developmentExcellent understanding of machine learning and deep learning techniques and algorithms, such Deep CNNs, Optimizers, Feature Engineering, Transformers, etc.
  • Experience handling large scale production datasets and understanding of related challenges and processes to address them
  • Experience with common data science toolkits such as NumPy, scikit-learn, spaCy, Keras, PyTorch, etc. Excellence in at least one of these is highly desirable
  • Experience with NoSQL databases, such as MongoDB, DnamoDB, Cloudant etc and understanding of basic data wrangling techniques
  • Good to have academic training in a quantitative discipline and /or a specialized degree in data science or analytics.
  • Possesses relevant industry and /or business domain knowledge such finance or healthcare.

Preferred Technical and Professional Expertise
  • Demonstrated experience in applying user centric approach to design and create compelling prototypes that lead to transformative change for the client
  • Knowledge of a variety of modern application of data science, including machine learning, optimization, neural networks and /or artificial intelligence that can be applied to solve client problems
  • Deep understanding of statistical machine learning models with Python or R to propose innovative solution
  • Expertise in the use of cloud based infrastructure to manage the volume and veracity of complex data streams.

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 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 @ IBM
Are 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 IBM
IBM’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 Statement
When 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 @ IBM
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, 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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