IBM

Data Scientist & AI ELH - RTP 2027

IBM$88K — $105K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's Degree in a relevant field.
  • Proficiency in Python with experience in NumPy, pandas, and scikit-learn.
  • Solid understanding of machine learning algorithms and model evaluation techniques.
  • Experience with Git and collaborative development workflows.
  • Ability to work with both structured and unstructured data.
  • Familiarity with software engineering principles and debugging practices.
  • Strong analytical and problem-solving skills.

Responsibilities

  • Contribute to the design and development of AI solutions.
  • Implement data collection, cleaning, analysis, and visualization processes.
  • Collaborate with Senior Developers to build predictive models.
  • Generate insights to enhance company performance.
  • Support real-world application of AI across enterprise systems.

Benefits

  • Work in a collaborative, innovation-driven environment.
  • Opportunity to grow and develop in the early stages of your career.
  • Exposure to advanced AI and data science technologies and frameworks.
  • Potential for hands-on experience with model deployment and MLOps tools.
  • Engagement with ethical AI practices regarding fairness and transparency.
Full Job Description
Your role and responsibilities

We are seeking a motivated and technically skilled early-career professional to join our AI and Data Science development team. As a Junior Developer, you will contribute to the design, development, and implementation of AI solutions and look for ways to effienciently collect, clean, analyze, and visualize data to support business decisions that support real-world applications across enterprise systems. This role is ideal for someone with a strong foundation in machine learning and software engineering who is eager to grow in a collaborative, innovation-driven environment. You will work with Senior Developers to build models helping to create predictive models, generate insights and help optimize company performance.

Required education

Bachelor's Degree

Required technical and professional expertise
• Proficiency in Python and experience with libraries such as NumPy, pandas, scikit-learn.
• Solid understanding of machine learning algorithms and model evaluation techniques.
• Experience with Git and collaborative development workflows.
• Ability to work with structured and unstructured data, including preprocessing and transformation.
• Familiarity with software engineering principles and debugging practices.
• Strong analytical and problem-solving skills.

Preferred technical and professional experience
• Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
• Exposure to model deployment using Docker, REST APIs, or cloud platforms (AWS, Azure, GCP).
• Understanding of MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines).
• Knowledge of distributed systems, storage architectures (e.g., IBM Storage Scale), and performance optimization.
• Familiarity with Linux environments and container orchestration (e.g., Kubernetes, OpenShift).
• Awareness of ethical AI principles, including fairness, transparency, and bias mitigation.

OTHER RELEVANT JOB DETAILS

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.

About IBM

Sequent Computer Systems designs and manufactures multiprocessing computer systems based on Cache Coherent Non-Uniform Memory Access architecture, which are used primarily as application and database servers for commercial applications. Through a partnership with Oracle Corporation, Sequent became a dominant high-end UNIX platform in the late 1980s and early 1990s. Later it introduced a next-generation high-end platform for UNIX and Windows NT based on non-uniform memory access architecture, NUMA-Q. Sequent Computer Systems, Inc. was incorporated in 1983 and is based in Beaverton, Oregon. In July 1999 Sequent Computer Systems, Inc. was acquired by International Business Machines Corp.

IBM Careers

Joining IBM presents a prime opportunity to be part of our global team of professionals, leading the way in technological innovation and business solutions. At IBM, we offer more than just job opportunities; we provide a platform for growth, leadership development, and a chance to be at the forefront of industry innovation. Work You’ll Do At IBM, your work impacts global markets and helps reshape industries. As part of our team, you will contribute to projects that harness the power of cloud computing, AI, and blockchain technologies. With IBM, you are positioned to lead in the marketplace, leveraging our deep industry expertise and commitment to digital innovation. Transform Your Career IBM is not just a company; it's a culture of innovation and leadership. We are committed to diversity and providing an inclusive environment where all professionals can thrive. Joining IBM means being part of a team that values your unique skills and perspectives. IBM offers a variety of career paths, including full-time positions and internships, that allow you to explore your interests and develop new skills. Our professional development programs are designed to help you grow at every stage of your career, featuring robust training, certification support, and opportunities for advancement. Innovate with Us Engage in work that matters with a team of over 350,000 IBMers worldwide, driving progress in over 170 countries. At IBM, innovation isn’t just about technology, it’s about transforming how businesses operate and compete. Your work will deliver solutions that anticipate and fulfill the needs of our clients in an ever-evolving landscape. Be Part of a Great Team IBMers are diverse, talented, and globally connected. You’ll collaborate with thought leaders and industry experts who are shaping the future of technology. Our culture fosters creativity, teamwork, and the continuous pursuit of excellence. Networking and Professional Growth IBM is deeply invested in the professional growth of its employees. We encourage networking within the company to foster connections that can lead to greater innovation and career advancement. Our leadership is committed to providing every employee with the tools they need to succeed, from mentorship programs to diversity training. Explore Job Opportunities Whether you’re looking for an internship, a graduate role, or a leadership position, IBM offers a range of career opportunities. Our hiring process is designed to be transparent and fair, providing you with all the resources you need to succeed in your interview and resume preparation. Stay Connected Join Our Team Discover the various positions available that match your skills and interests. At IBM, we look for passionate, curious, and solution-driven team players. Explore our open positions and find where you can make a difference. Keep Up to Date Stay informed with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. Job Alert Emails Customize your subscription to receive job alerts, the latest news, and insider tips tailored to your preferences. See what exciting and rewarding opportunities await at IBM. Join IBM and be part of a legacy of leadership and innovation. Shape your future and build a career designed to last.
Learn more about IBM
Size
307,600 employees
Market Cap
$128 billion
Industry
Net Income
$5.5 billion
Founded
1911
5 Year Trend
-6.4%
Revenue
$73.6 billion
NASDAQ

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