Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact.

At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your role and responsibilities

As a Data Engineer with expertise in Machine Learning, you will apply Machine Learning concepts and techniques to address business challenges. You will leverage your skills to drive informed decision-making in the organization. Your primary responsibilities will include:

Develop Machine Learning Solutions: Design and implement Machine Learning models to solve complex business problems, selecting relevant features and algorithms to achieve desired outcomes.
Evaluate Algorithm Performance: Assess the effectiveness of Machine Learning algorithms using relevant metrics, identifying areas for improvement and optimizing model performance.
Interpret Statistical Data: Analyze and interpret complex statistical data to inform business decisions, communicating insights and recommendations to stakeholders.
Communicate Results: Clearly articulate the results of Machine Learning initiatives, providing actionable insights and recommendations to drive business outcomes.
Drive Informed Decision-Making: Collaborate with stakeholders to integrate Machine Learning insights into business decision-making processes, driving informed strategic choices.

This role can be performed from anywhere in the United States of America.

Required education

Bachelor's Degree

Required technical and professional expertise

Deep Expertise in Machine Learning: Proven ability to apply Machine Learning concepts and techniques to address complex business challenges, leveraging expertise in algorithm selection, feature engineering, and model optimization.
Experience with Statistical Data Analysis: Skilled in interpreting and analyzing complex statistical data to inform business decisions, with the ability to identify relevant trends and patterns.
Algorithm Evaluation and Optimization: Experienced in evaluating the performance of Machine Learning algorithms using relevant metrics, with a strong understanding of optimization techniques to improve model performance.
Effective Communication of Results: Adept at clearly articulating the results of Machine Learning initiatives, providing actionable insights and recommendations to drive business outcomes.
Strategic Decision-Making: Proven ability to collaborate with stakeholders to integrate Machine Learning insights into business decision-making processes, driving informed strategic choices.

Preferred technical and professional experience

Advanced Statistical Modeling: Experience with developing and applying advanced statistical models to drive business insights, leveraging techniques such as regression analysis, time series forecasting, and hypothesis testing.
Machine Learning Frameworks: Familiarity with popular Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn, with the ability to design and implement scalable Machine Learning solutions.
Data Visualization Tools: Exposure to data visualization tools such as Tableau, Power BI, or D3.js, with the ability to effectively communicate complex data insights to stakeholders.

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 500 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.

IBM 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, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:

Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being
Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs
Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law
Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals
Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences

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

This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

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