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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

At IBM, we are committed to leveraging cutting-edge technology and data-driven insights to deliver exceptional solutions across our business operations. The IBM CIO plays a critical role in accelerating our business and technology platform transformation and increasing the productivity of every IBMer using AI-powered technology.

We are seeking an Associate Data Scientist to assist in the development and implementation of advanced data solutions that drive strategic initiatives. The candidate would join the analytics team in the CIO's AI, Automation and Data Platform group. The Associate Data Scientist will be responsible for leveraging IBM's watsonx products as well as open-source solutions and latest technology to enable AI and generative AI solutions. Responsibilities will include supporting Senior Data Scientists and CIO leadership to enable data driven business outcomes and actionable insights.

The ideal candidate should be experienced in applying advanced statistical methods and machine learning to large datasets.

Key Responsibilities:

• Collaborate with business leaders, engineers, and analysts to define and prioritize data-related opportunities

• Work closely with data engineers to ensure data availability, quality, and integration for data science initiatives

• Extract, compile, and validate data, conducting analysis using standard analytic and/or data science tools and techniques

• Work with senior data scientists and CIO leadership on analysis projects and support their data needs

• Assist in the development of automated reports and dashboards

• Build and maintain scalable data pipelines and machine learning models in production environments

• Continuously explore emerging technologies and methodologies in AI, machine learning, and data science to accelerate IBM CIO transformation

Required Technical and Professional Expertise

• 3+ years' experience with a programming language and/or statistical tool (R or Python preferred)

• 3+ years' experience with performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

• 3+ years' experience working with data visualization or dashboarding tools (Cognos Analytics or Tableau)

• Strong analytic skills related to working with structured and unstructured datasets

• 3+ years' experience with core statistical analysis skills (e.g., linear regression, logistic regression, k-means clustering, significance testing, etc.)

• Working experience with generative AI techniques to develop innovative solutions for enterprise industry use cases

• Proven ability to translate business challenges into data science solutions

• Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders

• Strong analytical abilities and problem-solving skills and an informed, evidence-based approach

• Degree in statistics, mathematics, data/computer science, physics or another quantitative field. Quantitative degrees in social sciences (political science, sociology, psychology, etc.) are also acceptable

• Ability to manipulate, process, and extract value from disconnected datasets

Preferred Technical and Professional Expertise

• Proficiency in Machine Learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), LLMs (e.g. IBM Granite, IBM Slate, Llama), and NLP/GenAI tools (e.g., HuggingFace, LangChain)

• Experience with SQL and relational databases

• Experience with cloud platforms for data science projects

• Familiarity with DevOps practices, CI/CD pipelines, and MLOps tools

• Previous experience in large-scale enterprise IT environments

• 2+ years' experience in research and/or experimental design

• Strong experience with big data framework such as Spark

• Experience with Iceberg: a high-performance format for large analytic tables

• Curiosity for exploring complex problems through analytics and insights

• Experience supporting and working with cross-functional teams in a dynamic (e.g., Agile) environment

About Business UnitThe IBM Finance organization is responsible for driving enterprise performance and transformation. We are the financial stewards of IBM, delivering IBM's financial strategy, developing new business models, and mitigating enterprise risk. Do you have a passion for creating business value? Join our team in accounting, financial planning, pricing, business controls, tax, treasury, business development (acquisitions & divestitures), and global financing.

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 StatementFor 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.