IBM

Data Scientist

Posted On

Dec. 6, 2024

Location

Pune, Maharashtra

Experience Level

Professional

Job Type

Permanent

Apply By

Jan. 3, 2025

Job Description

Introduction
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

Your Role and Responsibilities
The Data Scientist role combines deep data and analytics skills with strong business acumen to solve business problem of Cognitive Computing Solutions. The responsibilities include working with business leaders to solve business problems by understanding, preparing, and analysing data to predict emerging trends and provide recommendations to optimize business results

The data scientist is expected to have expertise of Advanced Analytics techniques that are traditionally applied to structured data, as well as deep understanding of Natural Language Processing and Machine Learning techniques such as Deep Learning and GenAI for unstructured content, so as to enable composition of holistic cognitive solutions. The candidate is expected to be well versed in one of the following areas of Natural Language Processing, Image Processing, Video Processing, Voice Processing, Q&A assistant solutions and other forms of GenAI solutions. The candidate is expected to have knowledge and/or experience in the following skills with focus on Data Science: Machine Learning, Git, Agile, SQL, Python, R, Predictive Modelling, Algorithms, Web Scraping, TensorFlow, Deep Learning, Statistics and Natural Language Processing / GenAI and Agentic AI. This will include the following:

Experience of formulating a problem statement and implementing analytical solutions by understanding available data and functional requirements.
High proficiency in algorithms used for structured and unstructured data analysis
Expert-level proficiency in statistical/ML predictive techniques such as Regression, Random Forest, Decision Tree, SVM etc or Experience in Probabilistic techniques, Reinforcement learning, Deep Learning- RNN, LSTN, NLP and Interactive AI (Chatbots)
Expert-level proficiency in Foundational s models / LLMs, Lang chain, Vector DB, Python or data science stack.
Operating knowledge in any one of the of cloud computing platforms (IBM, AWS, Google, Azure) and its data science stack
RDBMS and data management concepts as well as fluency in SQL scripting.
Experience in implementing distributed computing using Python
Experience in Agile Delivery and version management

The ideal candidate will have 7-12 years of experience in designing, GenAI, Deep Learning, ML/statistical solutions to complex business problems at scale; developing & testing modular, reusable, efficient and scalable code to implement those solutions. The skills include strong coding, statistical, mathematical, predictive modelling, and business strategy skills and will need to be able to effectively communicate orally and visually -- what all of the data means in the context of our business.

Required Technical and Professional Expertise

BTech (with 7+ years of relevant experience) or Masters (with 6+ years of relevant experience) in Operations Research, Applied Mathematics/ Statistics/ Econometrics, Electrical or Systems Engineering, Physics or similar highly quantitative field
Strong ability to transform business requirements into data science formulations and implement the solutions in an efficient and scalable fashion
Sound understanding of data science concepts, model development & performance tuning processes as well as coding, version control and CI/CD best practices
Demonstrated extensive experience in building and deploying production quality models in a live digital environment using data pipelines and ML Ops frameworks including handling model drift, retraining and version control lifecycle
Highly skilled in Python and various data science related libraries of Python including TensorFlow, Keras, Sci-Kit Lean, Pandas, Numpy and PySpark
Experience in Convolutional Neural Network / Computer Vision projects using TensorFlow, PyTorch and leveraging public / open-source libraries (VGG16, ImageNet, YOLO, OpenCV, etc) as well as ability to tweak, modify these CNN architectures when required for a specific business problem.
Demonstrated ability of scoping, executing and scaling multiple data science deliverables on their own
Must have worked in developing and deploying models using more than one cloud platform (AWS, Azure, GCP, IBM)
Ability to handle multiple projects as an individual contributor and as a lead / mentor to other team members managed directly or indirectly on a project / assignment
Excellent interpersonal and stakeholder management skills including ability to interact and present to senior stakeholders

Preferred Technical and Professional Expertise

None

About Business Unit

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

Your Life @ IBM

In 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 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, 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.

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